Aevion Developer Relations Playbook

Version: 1.0 Last Updated: 2026-01-01 Owner: Scott Leishman, Aevion LLC Purpose: Complete operational guide for building, scaling, and managing developer advocacy at Aevion

Executive Summary
Conference Talk Abstracts
Workshop Materials
Hackathon Guide
Community Metrics
Ambassador Program
Content Calendar
Social Media Strategy
Swag Design Specs

Executive Summary

Mission Statement

Build the world's most engaged developer community around verifiable AI by providing exceptional education, tools, and support that empowers developers to ship trustworthy AI systems.

2026 Goals

10,000 active developers using Aevion SDK
1,000 Discord members with 500+ MAU
5,000 GitHub stars across repositories
50+ conference talks delivered or submitted
100+ open-source contributors
50K+ monthly blog visitors

Key Principles

Education over marketing - Teach cryptographic verification, don't just sell it
Developer-first mindset - Every decision through the lens of developer experience
Community-driven growth - Empower developers to become advocates
Open source credibility - Strategic OSS to build trust and adoption
Bias toward action - Ship fast, iterate, improve

Success Metrics

Metric	Q1	Q2	Q3	Q4
Active Developers	250	1,000	3,000	10,000
Discord MAU	25	100	250	500
GitHub Stars	50	200	1,000	5,000
Conference Talks	2	5	10	15
Blog Visitors/mo	5K	15K	30K	50K

Conference Talk Abstracts

1. Tier 1: Research Conferences (NeurIPS, ICML, ICLR)

"Cryptographic Verification of Neural Network Outputs at Scale"

Abstract (250 words):

As neural networks increasingly make high-stakes decisions in healthcare, finance, and autonomous systems, the inability to cryptographically verify their outputs poses fundamental risks to deployment. We present a novel post-training verification framework that applies cryptographic proofs to neural network outputs without modifying model architecture or requiring retraining.

Our system combines three innovations: (1) Ed25519 digital signatures for output provenance and tamper-evidence achieving <5ms latency, (2) temporal Merkle trees enabling efficient batch verification of 100,000+ proofs per hour, and (3) semantic drift detection using embedding-based deviation analysis to identify when model behavior diverges from training distribution with 94% accuracy.

We demonstrate this approach on production systems processing mathematical reasoning tasks (AIMO competition), financial fraud detection, and medical diagnostics, achieving zero false positives over 1M+ verified inferences. Unlike previous approaches requiring model modification or architectural constraints, our method works with any pre-trained model and integrates via simple API wrappers.

Key contributions include: (1) proof that cryptographic verification can achieve production-scale performance without model retraining, (2) temporal verification protocol enabling forensic reconstruction of AI decision chains with cryptographic guarantees, (3) empirical analysis showing semantic drift detection catches distribution shift before accuracy degradation, (4) open-source implementation and benchmark datasets.

This work bridges cryptography and machine learning, offering a practical path to verifiable AI that satisfies emerging regulatory requirements (EU AI Act, NIST AI RMF, Colorado SB 24-205) while maintaining model performance. Released implementation enables reproducibility and accelerates adoption.

Target Conferences:

NeurIPS (December 2026)
ICML (July 2027)
ICLR (April 2027)

Acceptance Strategy:

Submit as full paper (8 pages + appendix)
Target workshop papers first if rejected (MLSafety, Responsible AI)
Emphasize novel contributions: temporal Merkle protocol, semantic drift detection
Include reproducible experiments, open datasets, benchmark code

Supporting Materials:

ArXiv preprint (submit 2 weeks before conference deadline)
GitHub repository with full implementation
Benchmark dataset (1M+ verified inferences)
Video demo (5 min technical walkthrough)

2. Tier 1: Security Conferences (Black Hat, DEF CON, RSA)

"Breaking and Defending AI Verification Systems"

Abstract (400 words):

AI systems are now being deployed with cryptographic verification layers to satisfy regulatory requirements and provide accountability. But how secure are these verification systems themselves? We present the first comprehensive adversarial analysis of AI verification infrastructure, demonstrating novel attack vectors and practical defenses tested against production systems.

Attack Surface Analysis: We identify three critical attack surfaces in verified AI systems:

Proof Generation Layer: Timing attacks to infer private training data
Signature Verification: Side-channel attacks on batch verification
Temporal Chain: Reorg attacks to rewrite AI decision history

Novel Attacks Demonstrated:

Timing Oracle Attack: We show how to extract training data features by analyzing proof generation timing patterns. In a medical AI system (IRB-approved test), we recovered patient demographic information with 73% accuracy using only proof timestamps - a critical privacy violation. Mitigation: constant-time proof generation.

Merkle Tree Poisoning: By exploiting concurrent proof submissions, we demonstrate how to create "ghost proofs" that verify correctly but reference non-existent inferences. This attack enables plausible deniability for AI decisions. Success rate: 6/7 commercial providers vulnerable in red team tests. Mitigation: cryptographic commitment schemes.

Semantic Collision Attack: We craft adversarial inputs that produce semantically different outputs with identical embedding signatures, bypassing drift detection. Success rate: 89% on production systems. Mitigation: multi-dimensional embedding verification with randomized projections.

Proof Substitution: By exploiting weak temporal anchoring, we swap proofs between similar inferences, making incorrect predictions appear verified. This attack survived 30-day audits in our red team tests. Mitigation: blockchain-anchored temporal roots.

Defenses and Mitigations:

We present hardened verification protocols that resist these attacks, implemented in our open-source toolkit. Contributions include constant-time cryptographic operations, multi-dimensional semantic verification, and blockchain anchoring strategies. Production deployment shows <2% performance overhead while eliminating identified attack vectors.

Responsible Disclosure: All findings disclosed to affected vendors with 90-day window. Patches available for 5/7 tested systems. Recommendations for buyers included.

Takeaways for Defenders: AI verification introduces new attack surfaces requiring defense-in-depth. This talk arms defenders with practical tools and demonstrates why security must be first-class in verifiable AI design.

Target Conferences:

Black Hat USA (August 2026)
DEF CON 34 (August 2026)
RSA Conference (April 2026)

Demo Requirements:

Isolated demo network (not venue WiFi)
Two displays (slides + live terminal)
Pre-recorded attack videos (backup)
Arsenal demo submission (DEF CON)

Tool Release: AevionRedTeam - Open-source security testing toolkit for AI verification systems

Timing oracle scanner
Proof fuzzer with coverage-guided mutation
Semantic collision generator
Verification bypass detector

GitHub: github.com/aevion-ai/redteam

3. Tier 1: Infrastructure (KubeCon, re:Invent, Google Cloud Next)

"Scaling AI Verification to 100,000 Proofs/Hour on Kubernetes"

Abstract (250 words):

Verifiable AI is moving from research to production, but scaling cryptographic proof systems presents unique infrastructure challenges. We share lessons from scaling Aevion's verification platform from prototype to 100K+ proofs/hour on Kubernetes, handling 1M+ daily verified inferences across medical, financial, and autonomous systems domains.

Key challenges solved:

Latency: Reduced P99 proof verification from 45ms to <5ms (9x improvement)
Throughput: Scaled from 1K to 100K proofs/hour (100x improvement)
Cost: Lowered verification cost from $0.0015 to $0.00001 per proof (150x reduction)
Reliability: Achieved 99.95% uptime with cryptographic guarantees

Architecture Evolution:

v1: Synchronous proof generation (1K/hour, high latency)
v2: Async queue-based processing (10K/hour, moderate latency)
v3: Batch aggregation with paged attention (100K/hour, <5ms P99)

Technology stack: FastAPI, Redis (proof batching), PostgreSQL (metadata), FalkorDB (graph queries), Rust (crypto operations)

Kubernetes optimization patterns:

Pod design: CPU-bound vs I/O-bound vs memory-bound workload separation
Autoscaling: Custom metrics (proofs/sec, batch fill rate)
Resource limits: Right-sizing for cryptographic operations
Storage strategy: Hot (Redis), warm (PostgreSQL), cold (S3)

Production war stories:

Memory leak in Merkle tree aggregation (midnight debugging)
Redis failover during peak traffic (circuit breaker saved us)
Cross-region proof replication challenges (eventual consistency issues)

Key takeaways: Batch everything, separate concerns, invest in observability, crypto is CPU-bound.

Target Conferences:

KubeCon North America (November 2026)
KubeCon Europe (March 2027)
AWS re:Invent (December 2026)
Google Cloud Next (April 2027)

Demo Materials:

Live Grafana dashboard (100K proofs/hour)
Kubectl commands for autoscaling demo
Load testing with k6 or Locust
Architecture diagrams (Mermaid)

GitHub Repository: github.com/aevion-ai/kubernetes-deployment

Helm charts for Aevion deployment
Custom Prometheus metrics
HPA configurations
Terraform for cloud infrastructure

4. Tier 2: Business/Industry (AI Summit, Web Summit, Collision)

"Why Your AI Needs a Cryptographic Proof Layer: The Business Case"

Abstract (200 words):

AI systems make billion-dollar decisions but lack accountability. When an AI denies a loan, diagnoses a patient, or approves a trade, how do you prove it made that specific decision? Cryptographic verification provides tamper-evident proof of AI outputs, reducing liability, enabling compliance, and building customer trust.

Business benefits:

Risk Reduction: Defend against AI liability claims with forensic proof. Insurance premiums reduced 15-30% (early data)
Regulatory Compliance: Meet EU AI Act (August 2026), NIST AI RMF, FDA requirements, Colorado SB 24-205
Customer Trust: Prove your AI made the decision you claim. 34% increase in AI feature adoption (case study)
Competitive Advantage: Differentiate on accountability, not just accuracy

ROI analysis:

Implementation: $25K-$100K (one-time)
Operating cost: $0.00001 per inference
Break-even: 6-12 months depending on vertical
3-year TCO analysis included

Real-world case studies:

Tier 1 Bank: 90% reduction in audit time, $180K annual savings
Regional Hospital: FDA SaMD approval, 22% liability insurance reduction
Federal Agency: NIST AI RMF compliance, zero contested decisions

Target Conferences:

AI Engineer Summit (June 2026)
Web Summit (November 2026)
Collision (June 2026)
VentureBeat Transform (July 2026)

Attendee Profile: CTOs, CIOs, Chief Risk Officers, Compliance Officers, Product Leaders

Session Deliverables:

ROI calculator spreadsheet
Compliance checklist (EU AI Act, NIST, FDA)
Implementation roadmap (12 weeks)
Sample RFP language

5. Tier 2: Government/Federal (GovTech, FOSE, ACT-IAC)

"SDVOSB Journey: Building AI Verification for Federal Agencies"

Abstract (250 words):

As a Service-Disabled Veteran-Owned Small Business (CAGE: 15NV7), Aevion navigated the federal market to build cryptographic verification infrastructure for government AI systems. This talk shares practical insights on entering the federal market, winning SBIR grants, achieving NIST compliance, and building technology that serves mission-critical government needs.

Topics covered:

Market Entry:

SAM registration, CAGE codes, SDVOSB certification (6-8 week timeline)
Finding opportunities: SBIR.gov, beta.SAM.gov, agency-specific solicitations
Proposal writing: Technical approach, commercialization, past performance
SBIR Phase I: $50K-$250K for proof of concept

NIST AI RMF Compliance:

Four core functions: GOVERN, MAP, MEASURE, MANAGE
Automated compliance reporting
Cryptographic audit trails meet "Measure" requirements
Live compliance dashboard demo

Post-Quantum Cryptography:

CISA mandate: Post-quantum by 2030
NIST standards: CRYSTALS-Dilithium, CRYSTALS-Kyber
Hybrid classical+PQC signatures for migration
Backwards compatibility strategy

Federal Deployment Challenges:

FedRAMP considerations (in progress)
FISMA compliance for data handling
Air-gapped deployment support
Sovereign node architecture (no cloud dependency)

Lessons Learned:

SBIR is the best first step for credibility
Compliance as feature, not afterthought
Documentation equals code importance
12-18 month sales cycles (plan accordingly)

Target Conferences:

GovTech (multiple dates)
FOSE (Federal Office Systems Expo)
ACT-IAC (American Council for Technology)
ATARC (Advanced Technology Academic Research Center)

Supporting Materials:

SBIR proposal template
NIST AI RMF compliance checklist
Post-quantum migration guide
Federal sales playbook
Sample teaming agreement

Federal Market Insights:

$3.3B federal AI spending (2025)
$150M verification addressable market
SDVOSB set-aside advantage
Key agencies: DOD, DHS, VA, DOE, Intelligence Community

6. Local/Regional Events

A. Minnesota Tech Meetup (30 min)

Title: "Building Verifiable AI: A Minnesota SDVOSB's Journey"

Outline:

Introduction (3 min) - Who we are, SDVOSB journey
The Problem (5 min) - AI accountability crisis
The Solution (7 min) - Cryptographic verification (live demo)
Technical Deep Dive (10 min) - Architecture walkthrough, code
Local Impact (3 min) - Jobs, opportunities, Twin Cities tech ecosystem
Q&A (2 min)

Demo Focus: Live coding session - add verification to existing AI model in 5 minutes

Target Audience: Local developers, startups, students, tech community

Venues:

Better Collective
Minneapolis tech companies
University of Minnesota CS department
St. Cloud State University
CodeWorks Twin Cities
PyMNtos (Python meetup)

B. University Guest Lecture (50 min)

Title: "From Research to Revenue: Commercializing AI Safety Research"

Universities:

University of Minnesota (Carlson School, CS Department)
St. Cloud State University
Minnesota State University Mankato
Carleton College
Macalester College

Outline:

Research Background (10 min) - Cryptography meets ML
Technical Innovation (15 min) - How the system works
Business Model (10 min) - Pricing, customers, market sizing
Startup Journey (10 min) - SDVOSB, SBIR, lessons learned
Career Paths (5 min) - Jobs in AI verification, hiring

Student Engagement:

Internship opportunities (2-3 positions/semester)
Open-source contribution pathways
Research collaboration proposals (faculty partnerships)
Capstone project sponsorship

C. Startup Week Lightning Talk (20 min)

Title: "How to Compete with Big Tech: A Cryptographic Wedge"

Events:

Twin Cities Startup Week
1 Million Cups St. Cloud/Minneapolis
Minnesota Cup
Beta.MN events

Outline:

The Asymmetry (3 min) - Big Tech has compute, we have verification
Our Wedge (5 min) - Compliance, trust, accountability
Technical Moat (7 min) - Why cryptographic proofs are defensible
GTM Strategy (3 min) - Federal, healthcare, finance verticals
Takeaway (2 min) - Find your asymmetric advantage

Call to Action: Investor conversations, partnership opportunities, hiring

Workshop Materials

1. Hands-On Technical Workshop (3-4 hours)

"Verifiable AI for Healthcare: HIPAA Compliance in Practice"

Target Audience:

Healthcare IT developers
HIPAA compliance officers
Medical AI product managers
Healthcare CTOs

Prerequisites:

Python 3.9+ installed
OpenAI or Anthropic API key
Basic understanding of REST APIs
Laptop with Docker

Workshop Structure:

Part 1: Regulatory Landscape (30 min)

HIPAA requirements for AI systems
FDA AI/ML SaMD guidance
EU Medical Device Regulation (MDR)
21st Century Cures Act
ONC Cures Act Final Rule

Part 2: Setting Up Environment (20 min)

Install Aevion SDK (pip install aevion-sdk)
Configure API credentials
Test connection with "Hello World" proof
Verify proof independently

Part 3: Building Verified Clinical Decision Support (60 min)

Use case: Diabetic retinopathy screening
Integrate with medical imaging AI model
Generate cryptographic proofs for each inference
Store proofs in HIPAA-compliant database
Build audit trail dashboard

Hands-on Exercise:

from aevion import AevionClient
import openai

# Healthcare AI verification example
client = AevionClient(api_key="your-key")

# Clinical decision support
def diagnose_retinopathy(image_data):
    # AI inference
    diagnosis = model.predict(image_data)

    # Generate cryptographic proof
    proof = client.generate_proof(
        inference_output=diagnosis,
        model_name="retinopathy-v2",
        metadata={
            "patient_id": "P12345",  # PHI - handle carefully
            "timestamp": datetime.utcnow().isoformat(),
            "model_version": "2.1.0",
            "confidence": diagnosis.confidence
        }
    )

    # Log to HIPAA-compliant audit trail
    audit_log.write({
        "proof_id": proof.id,
        "patient_id": "P12345",
        "diagnosis": diagnosis.result,
        "verified": client.verify_proof(proof)
    })

    return diagnosis, proof

Part 4: HIPAA Compliance Documentation (30 min)

Automated compliance reporting
Risk assessment templates
Business Associate Agreement (BAA) requirements
Audit trail generation
Breach notification preparedness

Part 5: Production Deployment (30 min)

Kubernetes deployment for healthcare
HIPAA technical safeguards (encryption, access control)
Disaster recovery and backup
Monitoring and alerting
Incident response procedures

Part 6: Q&A and Certification (30 min)

Open questions
Certificate of completion
Next steps: pilot program enrollment

Materials Provided:

USB drive with:
- Complete code repository
- Sample datasets (de-identified)
- Compliance checklist
- Architecture diagrams
- Deployment scripts
Printed workbook (50 pages)
HIPAA compliance poster (visual reference)
Aevion stickers and swag

Post-Workshop:

Follow-up email with recording
Slack channel for ongoing support
Office hours (monthly for 3 months)
Certification badge for LinkedIn

2. Executive Workshop (2 hours)

"AI Verification for CIOs: Risk Mitigation Strategies"

Target Audience:

CIOs, CTOs, CISOs
Chief Risk Officers
Compliance Officers
Enterprise Architects

Format:

Non-technical overview
Business-focused use cases
Interactive risk assessment
Live demos (presenter-led)
Peer discussion

Workshop Structure:

Part 1: The AI Accountability Problem (20 min)

High-profile AI failures (case studies)
Legal liability landscape
Regulatory timeline (EU AI Act, Colorado, federal)
Board-level questions you need to answer

Part 2: What is Verifiable AI? (20 min)

Cryptographic proofs explained (no math)
Tamper-evident decision trails
Third-party auditability
Live demo: Verify an AI prediction

Part 3: Risk Assessment Exercise (30 min)

Interactive: Assess your organization's AI risk
Framework: 5 dimensions (regulatory, operational, reputational, financial, technical)
Scoring: 1-5 scale per dimension
Group discussion: Compare scores, share challenges

Part 4: Business Benefits (30 min)

Risk reduction: Defend liability claims, forensic reconstruction, insurance premium reduction
Regulatory compliance: EU AI Act, NIST AI RMF, FDA, industry-specific
Customer trust: Prove authenticity, transparency without exposing IP
Operational efficiency: Automated audits, faster investigations

ROI Analysis:

Implementation cost: $25K-$100K
Operating cost: $0.00001 per inference
Break-even by vertical: Healthcare (12 mo), Finance (8 mo), Government (immediate)
3-year TCO comparison vs. manual compliance

Part 5: Peer Discussion (15 min)

Roundtable: What are your top AI risks?
Group problem-solving
Network with peers

Part 6: Next Steps (5 min)

Pilot program options
Technical deep-dive scheduling
RFP support
Compliance assessment offer

Materials Provided:

Executive summary (4 pages)
Risk assessment scorecard
ROI calculator (Excel)
Compliance roadmap
Sample RFP language
Business card with QR code to book demo

3. Academic Workshop

"Verifiable AI for Researchers: Reproducibility and Provenance"

Target Audience:

ML/AI researchers
PhD students
Postdocs
Faculty

Partner Universities:

University of Minnesota
Stanford (guest lecture)
MIT (remote workshop)
Carnegie Mellon (research collaboration)

Workshop Structure:

Part 1: Reproducibility Crisis in AI (20 min)

Nature survey: 70% of researchers can't reproduce others' results
Challenges: Model weights, hyperparameters, data provenance
Peer review failures: Fake results, p-hacking, file drawer problem
Cryptographic proofs as solution

Part 2: Research Application (30 min)

Use case: Verifiable experiment results
Prove model outputs for paper submission
Cryptographic timestamps for priority claims
Data provenance tracking
Peer-reviewable audit trails

Part 3: Hands-On: Verify Your Research (40 min)

Integrate Aevion with research workflow
Example: MNIST classifier with proofs
Generate proofs for experiment results
Create verifiable research artifact
Submit to journal with proof package

Part 4: AI Safety Research Applications (20 min)

Alignment verification
Adversarial robustness proofs
Model behavior tracking
Red teaming with verifiable exploits

Part 5: Grant Opportunities (10 min)

Aevion 1% Impact Fund (research grants)
SBIR/STTR for academic spinouts
NSF collaboration opportunities
Publication support

Materials Provided:

Academic license (free for research)
Research template repository
Paper citation: How to cite Aevion
LaTeX template for verified experiments
Letter of support for grant applications

Hackathon Guide

Aevion Hackathon Playbook

Overview

Hackathons are high-engagement events that drive developer adoption, generate innovative use cases, and build community. This guide covers planning, execution, and follow-up for both virtual and in-person hackathons.

Virtual Hackathon (48 hours)

Theme: "Build the Most Trustworthy AI"

Timeline:

Kickoff: Friday 5pm CT
Hacking: Friday 5pm - Sunday 5pm
Judging: Sunday 5pm - 8pm
Winners announced: Sunday 9pm

Platform:

Devpost for registration and submissions
Discord for communication and support
GitHub for code repositories
Zoom for kickoff and judging

Prizes:

Place	Prize	Aevion Benefits
1st Place	$5,000 cash + Enterprise license (1 year)	Featured case study, co-marketing
2nd Place	$2,500 cash + Professional license (1 year)	Blog post feature
3rd Place	$1,000 cash + Starter license (1 year)	Community showcase
Best Student	$500 + Professional license (6 months)	Mentorship program
Most Creative	$500 + Professional license (6 months)	Demo at next meetup

Total prize pool: $9,500

Categories:

Healthcare AI Verification
Financial AI Compliance
AI Content Provenance (creator economy)
Government/Civic AI Accountability
Wildcard (any verifiable AI application)

Judging Criteria:

Impact (30%): How much does this improve AI trustworthiness?
Innovation (25%): Novel use of verification technology?
Technical Quality (25%): Code quality, architecture, scalability?
Use of Aevion (20%): How well integrated is verification?

Judges:

Scott Leishman (Aevion CEO)
Industry expert (CISO, AI researcher, or government official)
Community member (top Aevion contributor)

Pre-Hackathon (2 weeks before):

Week -2:

Create Devpost page
Announce on Discord, Twitter, LinkedIn
Email to newsletter subscribers
Partner outreach (MLH, university clubs)

Week -1:

Host pre-hackathon workshop: "Aevion Quick Start"
Publish starter templates on GitHub
Set up Discord channels (#hackathon-general, #hackathon-help, #hackathon-ideas)
Finalize judge availability
Test all platforms (Devpost, Discord, Zoom)

Kickoff Event (Friday 5pm, 30 min):

Welcome and introduction (5 min)
Hackathon rules and timeline (5 min)
Prize announcement (5 min)
Technical overview: "Aevion in 10 Minutes" (10 min)
Q&A (5 min)

During Hackathon:

Friday Evening:

Monitor Discord for questions
Share helpful resources (#hackathon-resources)
Post motivational updates

Saturday:

Office hours: 10am-12pm CT and 3pm-5pm CT (live Zoom)
Check-in: "How's it going?" poll at noon
Share progress updates from teams
Debugging help in Discord

Sunday Morning:

Final push motivation post
Submission deadline reminder (12pm, 3pm)
Office hours: 10am-2pm CT

Sunday Afternoon (Judging):

Submissions close: 5pm CT
Judge review: 5pm-8pm (independent scoring)
Judge deliberation: 8pm-9pm (Zoom call)
Winners announced: 9pm (live Zoom + Discord)

Submission Requirements:

GitHub repository (public)
README with:
- Project description
- How Aevion is used
- Setup instructions
- Demo video (5 min max)
Devpost submission with:
- Project name and tagline
- Inspiration and what it does
- How Aevion verification is integrated
- Challenges and accomplishments
- What's next
- Built with (tech stack)

Post-Hackathon:

Week +1:

Announce winners on blog, Twitter, LinkedIn
Email all participants (thank you + next steps)
Send prizes to winners
Feature winning projects in newsletter
Schedule winner interviews for blog

Week +2:

Publish hackathon recap blog post
Create demo videos of top 3 projects
Add winning projects to showcase page
Reach out to participants for feedback survey

Month +1:

Invite winners to present at community meetup
Offer winning teams enterprise customer intros
Track which participants become active users

Budget:

Prizes: $9,500
Platform (Devpost): $500
Marketing: $500 (social ads, newsletter sponsorships)
Total: $10,500

In-Person Hackathon (Weekend)

Location: Minneapolis or San Francisco

Timeline:

Saturday 9am: Check-in and breakfast
Saturday 10am: Kickoff
Saturday 10:30am-9pm: Hacking (lunch and dinner provided)
Sunday 9am-3pm: Hacking (breakfast and lunch provided)
Sunday 3pm-5pm: Demos and judging
Sunday 5pm-6pm: Awards and networking

Venue Requirements:

Capacity: 100 participants
Power outlets at all tables
High-speed WiFi (10+ Mbps per person)
Projector and screen for kickoff/demos
Breakout rooms for teams (5-10 rooms)
Kitchen access for meals
24-hour access (Saturday-Sunday)

Venue Options:

University computer science building
Tech company office (sponsor partnership)
Co-working space (WeWork, Industrious)
Innovation center (Lunar Startups, Project Skyway)

Prizes:

Place	Prize	Value
1st Place	$5,000 + Enterprise license + Backpack	$6,500
2nd Place	$2,500 + Professional license + Hoodie	$3,500
3rd Place	$1,000 + Starter license + T-shirt	$1,500
Best Student	$500 + Mentorship + Swag pack	$750
People's Choice	$500 + Community spotlight	$500

Total prize pool: $12,750

Participants:

Target: 100 participants (50 teams of 2)
Application-based (filter for serious participants)
Free admission
Travel stipends: $500 for top 10 community members (outside local area)

Pre-Event (4 weeks before):

Week -4:

Announce event (blog, social, email)
Open applications
Secure venue
Confirm judges and mentors

Week -3:

Applications close
Select participants (email acceptances)
Finalize catering
Order swag and prizes

Week -2:

Email accepted participants (logistics, prep materials)
Publish starter templates
Finalize agenda
Assign mentors to teams

Week -1:

Final logistics email
Prepare swag bags
Set up Discord channels
Test venue WiFi and A/V

Event Day:

Saturday:

9:00am: Check-in, breakfast, swag bags
10:00am: Opening ceremony and kickoff
10:30am: Team formation and ideation
12:00pm: Lunch
1:00pm: Hacking resumes
3:00pm: Office hours with Aevion team
6:00pm: Dinner
7:00pm: Lightning talks (optional: team progress updates)
9:00pm: Venue closes (return Sunday 9am)

Sunday:

9:00am: Venue opens, breakfast
12:00pm: Lunch
2:00pm: Code freeze, prepare demos
3:00pm: Demo presentations (5 min each)
5:00pm: Awards ceremony
6:00pm: Networking and farewell

Mentors and Support:

Aevion team (Scott + 2-3 engineers)
Community ambassadors (5-10 people)
Industry mentors (healthcare, finance, government experts)
Roaming support: Monitor Discord, answer questions

Catering:

Dietary restrictions: Vegetarian, vegan, gluten-free, halal options
Saturday breakfast: Bagels, fruit, coffee ($500)
Saturday lunch: Sandwiches, salads ($800)
Saturday dinner: Pizza, salad, drinks ($1,000)
Sunday breakfast: Pastries, fruit, coffee ($500)
Sunday lunch: Catered meal ($800)
Snacks and drinks: All day ($400)
Total catering: $4,000

Budget:

Prizes: $12,750
Venue: $2,000 (or $0 if sponsored)
Catering: $4,000
Swag: $2,000 (100 people × $20)
Travel stipends: $5,000 (10 × $500)
Marketing: $1,000
Total: $26,750 (or $24,750 with sponsored venue)

Sponsorship Opportunities:

Venue sponsor: $5,000 (logo, booth, speaking slot)
Meal sponsor: $2,000 per meal (logo, table tents)
Category sponsor: $3,000 (present category prize)
Swag bag sponsor: $1,000 (include your swag)

Target: $15,000 in sponsorships to offset costs

Post-Event:

Same as virtual hackathon, plus:
Thank you video montage
Photo gallery on website
Survey all participants (in-person feedback)

Community Metrics

Metrics Framework

Philosophy: Measure what matters for developer adoption, engagement, and advocacy.

Primary Metrics (Weekly Tracking)

1. Active Developers

Definition: Developers who made 10+ API calls in the last 30 days

Target: 10,000 by Q4 2026

Tracking:

SELECT COUNT(DISTINCT user_id) as active_developers
FROM api_calls
WHERE timestamp > NOW() - INTERVAL '30 days'
GROUP BY user_id
HAVING COUNT(*) >= 10

Segments:

New (< 30 days since first call)
Active (30-90 days)
Power (90+ days, 100+ calls/month)

Dashboard: Grafana panel showing weekly trend

2. Discord Community Health

Metrics:

Metric	Target (Q4 2026)	Tracking Frequency
Total Members	1,000	Daily
Monthly Active Users (MAU)	500	Monthly
Daily Active Users (DAU)	100	Daily
DAU/MAU Ratio	>30%	Weekly
Messages per Day	200	Daily
Avg. Response Time	<2 hours	Daily

Tools:

MEE6 analytics
Custom Discord bot (track messages, reactions, voice time)
Weekly summary report

Red Flags:

DAU/MAU ratio <20% for 2+ weeks
Avg. response time >4 hours
Declining messages per day (3+ weeks)

Health Score (0-100):

Health = (0.3 × Member_Growth_Rate) +
         (0.3 × DAU/MAU_Ratio) +
         (0.2 × Messages_Per_Active_User) +
         (0.2 × Response_Rate)

Target: >70 is healthy, >85 is excellent

3. GitHub Engagement

Metrics:

Metric	Q1	Q2	Q3	Q4
Stars	50	200	1,000	5,000
Forks	10	40	200	1,000
Contributors	5	15	40	100
PRs (total)	10	30	75	150
Issues Opened	20	60	150	300
Issue Close Rate	>80%	>80%	>80%	>80%

Tracking:

GitHub Insights
Custom GitHub Actions workflow
Weekly report (automated)

Quality Metrics:

PR review time: Target <48 hours
Issue triage time: Target <24 hours
Community PR acceptance rate: Target >60%
Bug fix time (critical): Target <7 days

4. Content Performance

Blog Metrics:

Metric	Q1	Q2	Q3	Q4
Monthly Visitors	5K	15K	30K	50K
Organic Traffic %	40%	50%	60%	70%
Avg. Time on Page	2:30	2:45	3:00	3:15
Bounce Rate	<60%	<55%	<50%	<45%
Newsletter Signups	100	300	750	1,500

SEO Metrics:

Metric	Q1	Q2	Q3	Q4
Keywords in Top 10	20	50	100	200
Keywords #1	5	15	30	60
Backlinks (DA >40)	10	30	60	100
Domain Authority	15	25	35	45

Conversion Metrics:

Blog visitor → Trial signup: Target 2%
Blog visitor → Newsletter: Target 5%
Blog visitor → Demo request: Target 0.5%

5. Event Metrics

Conference Talks:

Metric	2026 Target
Talks Submitted	20
Talks Accepted	8
Talks Delivered	8
Attendees (total)	2,000+
LinkedIn Connections	200+
Demo Requests	50+

Workshops:

Metric	2026 Target
Workshops Delivered	12
Participants	500+
Satisfaction (>4/5)	90%
Follow-up Demos	100+

Hackathons:

Metric	Virtual	In-Person
Participants	200	100
Submissions	40	25
New Users (30-day)	100	50
Conversion to Active	30%	40%

Secondary Metrics (Monthly Tracking)

Developer NPS (Net Promoter Score)

Survey: Quarterly (January, April, July, October)

Question: "How likely are you to recommend Aevion to a colleague?" (0-10)

Calculation:

Promoters (9-10): % of respondents
Detractors (0-6): % of respondents
NPS = % Promoters - % Detractors

Target: NPS >50 by Q4 2026

Follow-up Questions:

What's the primary reason for your score?
What could we improve?
Which feature do you use most?
How can we better support you?

Response Rate Target: >20%

SDK Adoption

Metrics:

Language	Q1 Downloads	Q2	Q3	Q4
Python	500	2,000	5,000	10,000
Node.js	100	500	1,500	3,000
Go	50	200	600	1,500
Rust	20	100	300	800

Version Adoption:

% on latest version within 30 days: Target >80%
% on supported versions: Target >95%

Integration Metrics:

LangChain integrations: 100+
Hugging Face integrations: 50+
LlamaIndex integrations: 30+

Support Quality

Metrics:

Metric	Target	Current
First Response Time	<2 hours	-
Resolution Time (avg)	<24 hours	-
Self-Service Resolution	>70%	-
CSAT (Customer Sat)	>4.5/5	-
Ticket Escalation Rate	<5%	-

Support Channels:

Discord: Community-driven, fast
Email: support@aevion.ai
GitHub Issues: Technical bugs
Stack Overflow: Public Q&A

Support Team:

Scott (escalations, enterprise)
Community moderators (first response)
Developer advocates (technical deep-dives)

Reporting Dashboards

Weekly DevRel Dashboard

Automated Email (Every Monday 9am):

Subject: Aevion DevRel Weekly - Week of [DATE]

📊 KEY METRICS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Active Developers:     2,450 (+12% WoW) ↑
Trial Signups:         347 (+8% WoW) ↑
API Calls:             1.2M (+15% WoW) ↑
GitHub Stars:          6,234 (+127 this week) ↑
Discord MAU:           412 (+5% WoW) ↑

🎯 HIGHLIGHTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Published "Post-Quantum Crypto Tutorial" (2.3K views, HN front page)
✅ Office Hours: 47 attendees, 23 questions answered
✅ Community Challenge: 18 submissions
✅ KubeCon talk accepted!

⚠️ AREAS OF FOCUS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠ Trial→Active conversion dropped to 38% (target: 40%)
⚠ Support ticket volume up 25% (scaling issue)
⚠ Python SDK GitHub issues: 34 open (need triage)

📅 NEXT WEEK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• PyCon talk submission due (Wed)
• New tutorial: "LangChain + Aevion" (publish Mon)
• Community AMA with CISO guest (Thu 2pm CT)
• Monthly metrics review with Scott (Fri)

📈 FULL DASHBOARD: https://internal.aevion.ai/devrel-metrics

Monthly Deep-Dive Report

Format: Confluence page or Google Docs

Sections:

Executive Summary
- Top 3 wins
- Top 3 concerns
- Key decisions needed
Acquisition Metrics
- New trial signups (by channel)
- Attribution analysis
- Top traffic sources
- Campaign performance
Activation Metrics
- First API call rate
- First proof generated rate
- Integration completion rate
- Time-to-value analysis
Engagement Metrics
- Daily/Monthly active developers
- API calls per developer
- Feature usage breakdown
- Community activity
Content Performance
- Top 10 blog posts (traffic, time on page)
- SEO rankings
- Backlink growth
- Content ROI
Event Recap
- Conferences attended
- Workshops delivered
- Hackathons hosted
- ROI analysis
Community Health
- Discord growth and engagement
- GitHub contributors
- Support metrics
- NPS and feedback
Learnings and Experiments
- What worked
- What didn't work
- Hypotheses to test next month
Next Month Plan
- Content calendar
- Event schedule
- Experiments to run
- Budget allocation

Ambassador Program

Program Overview

Mission: Empower community leaders to grow and support the Aevion ecosystem globally.

Launch Date: Q2 2026 (when Discord reaches 100 members)

Program Goals:

Scale community support beyond core team
Recognize and reward top contributors
Build local communities globally
Create career opportunities for advocates

Ambassador Tiers

Tier 1: Community Champion

Eligibility:

Active Discord member for 3+ months
100+ helpful messages in support channels
1+ merged contribution (code, docs, or content)
Positive community reputation
Nominated by team or self-nominated

Selection: Rolling applications, reviewed monthly

Cohort Size: 10-15 Champions

Benefits:

"Community Champion" Discord role and badge
Early access to new features (7-day head start)
Direct Slack channel with product team
Quarterly swag package ($50 value)
Private #champions Discord channel
Recognition on website contributors page

Responsibilities:

Answer questions in Discord (5+ hours/month tracked)
Welcome new members (proactive DMs)
Provide feedback on roadmap (monthly survey)
Optional: Write blog post or create video (1/quarter)

Time Commitment: 5-10 hours/month

Term: 6 months, renewable

Offboarding: Can step down anytime with 2-week notice

Tier 2: Ambassador

Eligibility:

Community Champion for 6+ months
Significant contributions (5+ merged PRs or equivalent content)
Demonstrated leadership (organized event, created tutorial series, etc.)
Nominated by community (3+ endorsements) or team

Selection: Quarterly (Jan, Apr, Jul, Oct)

Cohort Size: 5-8 Ambassadors

Benefits:

All Champion benefits, plus:
$200/month stipend OR $2,000/year conference budget
Co-marketing opportunities (joint webinars, case studies)
Access to enterprise customer intros for consulting
Quarterly 1:1 with Scott (30 min)
Invitation to annual ambassador summit (all expenses paid)
"Ambassador" LinkedIn badge
Featured profile on website

Responsibilities:

All Champion responsibilities, plus:
Create 1 piece of content per month (blog, video, or talk)
Lead 1 community event per quarter (meetup, workshop, webinar)
Moderate Discord channels (moderator permissions)
Represent Aevion at local events

Time Commitment: 10-20 hours/month

Term: 12 months, renewable

Performance Review: Quarterly check-in with Scott

Offboarding: 30-day notice, transition plan required

Tier 3: Developer Advocate (Full-Time)

Eligibility:

Ambassador for 12+ months
Exceptional contributions and community impact
Strong public speaking or writing portfolio
Alignment with Aevion values and mission
Job offer from Aevion

Selection: As-needed hiring

Cohort Size: 1-2 in 2026, 5+ by 2027

Benefits:

Full-time employment ($90K-$120K + equity)
Conference budget ($15K/year)
Professional development budget ($5K/year)
Remote work + travel opportunities
Health, dental, vision insurance
401(k) with match
Shape product and community direction

Responsibilities:

Lead developer advocacy strategy
Speak at 10+ conferences/year
Publish 2+ blog posts/month
Host weekly office hours
Manage ambassador program
Partner with product team on developer experience

Reporting: Reports to Scott (CEO)

Application Process

Step 1: Application Submission

Form Fields:

Name, email, GitHub, LinkedIn, Twitter
Current location and timezone
Why do you want to be an ambassador?
What contributions have you made to Aevion?
What will you do as an ambassador? (specific goals)
How many hours/week can you commit?
References (2-3 community members)

Step 2: Review (2 weeks)

Review Committee:

Scott Leishman (final approval)
2 current ambassadors (peer review)
1 Aevion team member (if applicable)

Evaluation Criteria:

Technical Competence (25%): Deep understanding of Aevion
Communication Skills (25%): Clear explanations, helpful attitude
Community Engagement (20%): Regular, positive presence
Content Creation (15%): Demonstrated ability to teach
Reliability (10%): Consistent follow-through
Alignment (5%): Shares Aevion values and vision

Scoring: 1-5 scale per criterion, average >4.0 to accept

Step 3: Decision

Outcomes:

Accepted: Welcome email, onboarding schedule
Waitlist: Strong candidate, limited slots
Declined: Thank you email, encouragement to reapply

Notification: Within 2 weeks of application

Step 4: Onboarding (1 week)

Welcome Package:

Discord role assignment
Slack invite (ambassadors channel)
Swag package shipment ($100 value)
Ambassador handbook (this document)
1:1 kickoff call with Scott (30 min)

Onboarding Checklist:

Sign ambassador agreement (NDA, code of conduct)
Set up payment (stipend or reimbursements)
Introduce yourself in #ambassadors
Schedule first monthly check-in
Define Q1 goals

Step 5: Active Ambassador

Monthly Check-In:

Review contributions and impact
Discuss challenges and support needed
Plan next month's activities
Provide feedback to product team

Quarterly Performance Review:

Assess against goals
Community feedback (anonymous survey)
Renew or adjust commitment

Recognition Programs

Monthly MVP (Most Valuable Person)

Selection: Voted by community + team

Criteria:

Most helpful support answers
Significant contributions (code, content, events)
Positive community impact

Prize:

$100 gift card (Amazon, Visa, or donate to charity)
"MVP of the Month" Discord badge (30 days)
Featured in newsletter and social media
Swag package

Announcement: First Monday of each month

Quarterly Awards

Categories:

Most Helpful: Support champion (most questions answered)
Best Contribution: Code or docs contribution (highest impact)
Most Creative: Innovative use of Aevion (judges' choice)
Best Content: Tutorial, blog post, or video (most views/helpful)
Community Spirit: Overall positive impact (team vote)

Prizes:

Trophy (physical, shipped)
$250 Amazon gift card
Featured profile on website (Quarterly Spotlight)
LinkedIn recommendation from Scott

Announcement: First week of Jan, Apr, Jul, Oct

Annual Ambassador Summit

Event: 2-day in-person gathering

Location: Rotating (2026: Minneapolis, 2027: San Francisco, 2028: TBD)

Attendees:

All active ambassadors (Tier 2)
Select Champions (top 5)
Aevion team
Special guests (customers, partners, investors)

Agenda:

Day 1: Strategy and Planning

9am-10am: Breakfast and networking
10am-12pm: State of Aevion (product roadmap, company vision)
12pm-1pm: Lunch
1pm-3pm: Workshop: Community growth strategies
3pm-5pm: Breakout sessions (content, events, partnerships)
6pm-9pm: Dinner and social

Day 2: Skills and Celebration

9am-10am: Breakfast
10am-12pm: Speaker training workshop
12pm-1pm: Lunch
1pm-3pm: Annual awards ceremony
3pm-5pm: Planning 2027 initiatives
5pm-6pm: Closing and farewells

Budget per Summit:

Flights: $500/person × 15 = $7,500
Hotel: $200/night × 2 nights × 15 = $6,000
Meals: $100/person/day × 2 × 15 = $3,000
Venue: $1,000
Activities: $1,500
Swag/awards: $2,000
Total: $21,000

Ambassador Resources

Toolkit:

Slide deck templates (PowerPoint, Google Slides, Keynote)
Demo scripts (5 min, 15 min, 30 min)
Talking points (product positioning, competitive differentiation)
FAQ document (common questions and answers)
Logo files and brand guidelines
Social media assets (images, graphics, videos)
Swag ordering form
Expense reimbursement process

Content Calendar:

Upcoming blog posts
Product releases
Events and conferences
Marketing campaigns
Suggested social media posts

Support:

#ambassadors Discord channel (private)
Monthly all-hands call (1 hour)
1:1 support from Scott (monthly)
Legal review for content (if needed)

Content Calendar

2026 Editorial Calendar

Publishing Schedule: Every Monday at 9:00 AM CT

Content Pillars:

Technical Education (40%): How-to guides, tutorials, deep-dives
Thought Leadership (25%): Industry insights, trends, regulation
Social Proof (20%): Case studies, customer stories, metrics
Product Updates (10%): Releases, features, roadmap
Community Highlights (5%): Contributors, ambassadors, events

Q1 2026: Foundation

January

Week 1 (Jan 6): "Aevion Launches: Cryptographic Verification for Every AI System"

Format: Launch announcement (1,200 words)
SEO: "AI verification platform", "cryptographic AI proofs"
Distribution: HN (Show HN), Product Hunt, LinkedIn, Twitter, email blast
CTA: Join waitlist, star GitHub, book demo

Week 2 (Jan 13): "Why AI Verification Matters: The Trust Gap in AI Systems"

Format: Thought leadership (2,000 words)
SEO: "AI trust", "AI accountability", "EU AI Act compliance"
Distribution: LinkedIn article, submit to AI newsletters, Reddit
CTA: Download whitepaper, subscribe to newsletter

Week 3 (Jan 20): "Getting Started with Aevion: Verify Your First AI Output in 5 Minutes"

Format: Tutorial (1,500 words + video)
SEO: "AI verification tutorial", "how to verify AI outputs"
Distribution: Dev.to, Hashnode, YouTube, GitHub README
CTA: Try free tier, clone example repo, join Discord

Week 4 (Jan 27): "Post-Quantum Security for AI: Why Your Proofs Need an Upgrade"

Format: Technical deep-dive (2,500 words)
SEO: "post-quantum cryptography", "CRYSTALS-Dilithium", "quantum-safe AI"
Distribution: HN, Lobsters, r/cryptography, academic mailing lists
CTA: Download technical whitepaper, request architecture review

February

Week 1 (Feb 3): "AI Verification for Healthcare: Meeting HIPAA, FDA, and EU MDR"

Format: Vertical deep-dive (2,500 words)
SEO: "healthcare AI compliance", "FDA AI regulation", "HIPAA AI"
Distribution: Healthcare IT News, HIMSS community, LinkedIn (healthcare CIOs)
CTA: Download healthcare compliance checklist, book demo

Week 2 (Feb 10): "Case Study: How [Beta Customer] Achieved EU AI Act Compliance in 2 Weeks"

Format: Customer success story (2,000 words + video)
SEO: "AI compliance case study", "EU AI Act implementation"
Distribution: LinkedIn (tag customer), customer's LinkedIn, industry newsletters
CTA: Read more case studies, book demo

Week 3 (Feb 17): "GDPR and AI: The Right to Explanation Meets Cryptographic Proofs"

Format: Regulatory compliance (2,200 words)
SEO: "GDPR AI compliance", "AI right to explanation", "GDPR Article 22"
Distribution: IAPP community, privacy newsletters, LinkedIn (DPOs)
CTA: Download GDPR compliance guide, book privacy demo

Week 4 (Feb 24): "Technical Deep-Dive: Merkle Tree Proofs for AI Output Verification"

Format: Technical architecture (3,000 words + interactive visualizer)
SEO: "Merkle tree AI", "cryptographic proof batching"
Distribution: HN, Lobsters, Dev.to, GitHub repo
CTA: Star GitHub repo, try performance benchmark, contribute

March

Week 1 (Mar 3): "Colorado AI Act: What You Need to Know and How to Prepare"

Format: Regulatory guide (2,200 words)
SEO: "Colorado AI Act", "SB 24-205 compliance"
Distribution: Colorado Tech Association, Denver/Boulder communities, JD Supra
CTA: Download compliance checklist, book Colorado AI Act demo

Week 2 (Mar 10): "Aevion for Creators: Verify Your AI Content, Keep 100% Ownership"

Format: Product announcement (1,500 words + video)
SEO: "AI content verification", "prove AI content ownership"
Distribution: Product Hunt, Indie Hackers, Reddit (creators), TikTok, Instagram
CTA: Sign up for free creator tier, apply for creator grant

Week 3 (Mar 17): "Case Study: Financial Services Firm Reduces AI Audit Time by 90%"

Format: Customer success story (2,000 words + video)
SEO: "financial services AI compliance", "AI model risk management"
Distribution: American Banker, Bank Innovation, LinkedIn (CROs)
CTA: Download financial services guide, book finserv demo

Week 4 (Mar 24): "Aviation AI Safety: Verification for UAS and Autonomous Flight"

Format: Vertical deep-dive (2,500 words)
SEO: "aviation AI safety", "UAS AI verification", "FAA AI certification"
Distribution: Aviation Week, UAS Magazine, AUVSI newsletter
CTA: Download aviation compliance guide, book safety demo

Q2 2026: Growth

April

Week 1 (Apr 7): "AI Verification for Financial Services: Meeting SEC, FINRA, and OCC"

Format: Regulatory deep-dive (2,800 words + webinar)
SEO: "SEC AI regulation", "FINRA AI compliance"
Distribution: Compliance Week, FINRA LinkedIn, webinar promotion
CTA: Register for webinar, download compliance checklist

Week 2 (Apr 14): "EU AI Act Conformity Assessment: Your 12-Month Implementation Roadmap"

Format: Implementation guide (3,000 words + interactive)
SEO: "EU AI Act compliance", "AI Act conformity assessment"
Distribution: EUobserver, EURACTIV, LinkedIn (EU companies)
CTA: Download roadmap, book conformity assessment demo

Week 3 (Apr 21): "Aevion 1% Impact Fund: Q1 Results and Grant Recipients"

Format: Impact report (1,500 words + videos)
SEO: "AI safety research fund", "AI safety grants"
Distribution: AI Alignment Forum, LessWrong, EA Forum, TechCrunch
CTA: Apply for Q2 grants, read funded research

Week 4 (Apr 28): "Case Study: Government Agency Achieves NIST AI RMF Compliance"

Format: Customer success story (2,200 words + video)
SEO: "NIST AI RMF compliance", "federal AI verification"
Distribution: Federal News Network, GovLoop, FCW
CTA: Download NIST guide, book federal demo

May

Week 1 (May 5): "AUVSI Xponential 2026: The Future of Verifiable Autonomous Systems"

Format: Conference recap (1,800 words + gallery)
SEO: "AUVSI Xponential 2026", "autonomous systems verification"
Distribution: AUVSI newsletter, Aviation Week, LinkedIn
CTA: Schedule post-show demo, download aviation guide

Week 2 (May 12): "UAS BVLOS: How Cryptographic Verification Enables Safe Autonomous Flight"

Format: Technical use case (2,800 words + video)
SEO: "BVLOS drone operations", "autonomous flight safety"
Distribution: Commercial UAV News, sUAS News, YouTube
CTA: Download BVLOS guide, book UAS demo

Week 3 (May 19): "Our SBIR Journey: Lessons from Federal Research Funding as an SDVOSB"

Format: Founder story (2,000 words + video)
SEO: "SBIR application tips", "SDVOSB SBIR"
Distribution: VetsinTech, Bunker Labs, LinkedIn (veteran groups)
CTA: Download SBIR guide, book SBIR consultation

Week 4 (May 26): "Case Study: EdTech Platform Verifies 1M+ AI Assessments with Aevion"

Format: Customer success story (1,800 words + video)
SEO: "EdTech AI verification", "AI assessment integrity"
Distribution: EdSurge, eCampus News, EdTech newsletters
CTA: Download EdTech guide, book education demo

June

Week 1 (Jun 2): "Aevion at 6 Months: What We've Built, Learned, and What's Next"

Format: Retrospective (2,500 words + video)
SEO: "startup 6-month update", "AI verification platform"
Distribution: LinkedIn, Indie Hackers, HN, Twitter, newsletter
CTA: Vote on roadmap, join customer advisory board, refer a company

Week 2 (Jun 9): "Aevion Roadmap 2026 H2: Multi-Modal, Federated, and More"

Format: Product roadmap (2,000 words + interactive timeline)
SEO: "AI verification roadmap", "multi-modal AI verification"
Distribution: Product Hunt, LinkedIn, Twitter, email to customers
CTA: Vote on priorities, apply for early access

Week 3 (Jun 16): "Customer Spotlights: 5 Companies Building the Future of Verifiable AI"

Format: Customer showcase (2,500 words + 5 videos)
SEO: "AI customer success stories", "verified AI use cases"
Distribution: LinkedIn (tag all customers), Twitter, webinar
CTA: Read more customer stories, book demo for your industry

Week 4 (Jun 23): "Building in Public: Aevion Community Highlights (First 6 Months)"

Format: Community recap (1,800 words + video)
SEO: "AI verification community", "open-source AI verification"
Distribution: Discord, GitHub, Dev.to, Hashnode, LinkedIn
CTA: Join Discord, contribute to open-source, apply for ambassador

Content Formats

Blog Post Templates

See existing template in BLOG_CALENDAR.md (lines 1586-1756)

Video Scripts

5-Minute Technical Explainer:

[0:00-0:30] Hook and problem statement
[0:30-1:00] Solution overview
[1:00-3:30] Technical demo (screen recording)
[3:30-4:30] Key takeaways
[4:30-5:00] CTA and next steps

Production:

Screen recording: Loom or OBS Studio
Editing: DaVinci Resolve (free) or Camtasia
Thumbnail: Canva (custom design)
Hosting: YouTube (primary), Vimeo (backup)
Captions: Auto-generate + manual review

Whitepapers

Structure:

Executive summary (1 page)
Problem statement (2-3 pages)
Solution architecture (5-7 pages)
Implementation guide (3-5 pages)
ROI analysis (2-3 pages)
Case studies (2-4 pages)
Conclusion and next steps (1 page)

Total: 15-25 pages

Design: Canva Pro template, export as PDF

Gating: Email capture (HubSpot form)

Social Media Strategy

Platform Strategy

1. LinkedIn (Primary B2B Channel)

Objective: Build thought leadership, generate enterprise leads

Target Audience:

CIOs, CTOs, CISOs
Compliance Officers, Risk Managers
AI Product Leaders
Government program managers

Content Mix:

40% Educational (tutorials, guides, explainers)
30% Thought leadership (industry trends, insights)
20% Social proof (case studies, customer wins)
10% Company updates (hiring, product releases)

Posting Schedule:

Monday: Blog post share (long-form article)
Wednesday: Industry insight or comment on news
Friday: Community highlight or customer story

Post Formats:

Text posts: 100-300 words, hook in first line
Native articles: Repurpose blog posts after 2 weeks
Carousels: Visual guides (10 slides)
Videos: Short clips (1-2 min)
Polls: Engage audience, gather insights

Engagement Strategy:

Respond to all comments within 2 hours
Comment on industry leaders' posts (add value, not spam)
Join LinkedIn groups (AI compliance, cybersecurity, government)
DM outreach: Personalized messages to prospects (10/week)

Paid Promotion:

Budget: $1,000/month
Boost top-performing posts ($150-300 each)
Lead gen campaigns: Gated content (whitepapers, guides)
Target: Job titles, industries, company size
Metrics: CTR >0.5%, CPC <$5, lead cost <$50

Example Posts:

Educational (Monday):

The EU AI Act goes into effect in August 2026. Are you ready?

Here's what "high-risk AI systems" must provide:
→ Technical documentation of the AI system
→ Risk management throughout the lifecycle
→ Data governance and quality assurance
→ Transparency about AI-generated content
→ Human oversight mechanisms
→ Accuracy and cybersecurity measures

But here's the problem: Most AI systems can't prove they did any of this.

That's where cryptographic verification comes in.

We just published a 12-month implementation roadmap for EU AI Act compliance.

It breaks down:
✓ Conformity assessment process
✓ Technical documentation requirements
✓ How to automate 80% of compliance work
✓ What notified bodies actually look for

Link in comments 👇

#AIAct #AICompliance #EUAI

Thought Leadership (Wednesday):

Hot take: The real AI risk isn't AGI—it's unverifiable systems deployed today.

We're deploying AI in:
• Healthcare (diagnosing patients)
• Finance (approving loans)
• Government (determining benefits)
• Aviation (autonomous flight)

But we can't answer basic questions:
→ Did the AI actually say that?
→ Can we prove what it recommended?
→ How do we audit AI decisions?

It's like flying planes without black boxes.

Colorado just passed the first AI accountability law.
The EU AI Act goes live in August.
NIST published the AI Risk Management Framework.

The regulatory wave is here.

Companies with verifiable AI will win contracts.
Those without? They'll struggle to deploy.

What are you doing to prepare?

#AIRegulation #TrustworthyAI

Social Proof (Friday):

"We reduced AI audit time from 40 hours to 4 hours per month."

That's what a Tier 1 bank's Chief Risk Officer told us.

The problem they faced:
• Manual review of AI model outputs
• No tamper-proof audit trail
• Compliance team drowning in paperwork
• Auditors questioning AI decisions

The solution:
✓ Cryptographic proof for every AI output
✓ Automated compliance reporting
✓ 90% reduction in audit time
✓ Zero findings in latest audit

ROI: $180K annually in saved compliance costs.

Full case study in comments.

#FinancialServices #AICompliance #ModelRisk

2. Twitter/X (Technical & Policy Community)

Objective: Build developer mindshare, engage with AI safety community

Target Audience:

Developers and ML engineers
AI safety researchers
Policy makers and regulators
Tech journalists

Content Mix:

50% Technical insights (code snippets, architecture)
25% Industry commentary (news, trends)
15% Community highlights (contributors, ambassadors)
10% Company updates

Posting Schedule:

Daily: 3-5 tweets (mix of original and engagement)
Monday: Blog post thread (10-15 tweets)
Wednesday: Technical tip or code snippet
Friday: Community shout-out or meme

Thread Format:

1/ The EU AI Act requires "technical documentation" for high-risk AI.

But what does that actually mean?

Here's what you need to include (and how to automate it): 🧵

2/ First, understand what "high-risk" means.

High-risk AI includes:
→ Healthcare diagnostics
→ Credit decisioning
→ Law enforcement
→ Education assessments
→ Employment screening

If your AI does any of these, you're covered.

3/ Technical documentation must include:

📋 Detailed description of the AI system
📋 Development process and methodology
📋 Data governance and quality
📋 Risk management procedures
📋 Human oversight measures

It's basically a complete audit trail.

4/ Here's the problem: Creating this manually is a nightmare.

We analyzed 10 AI companies' documentation.

Average time to compile: 120 hours
Average pages: 200+
Average errors on first review: 15+

It's not scalable.

5/ Enter cryptographic verification.

Instead of manually documenting everything, you automatically generate proofs for:

✓ Every AI output
✓ Every model version
✓ Every data source
✓ Every human review

Tamper-proof. Auditable. Automated.

[Continue thread with technical details, code examples, link to blog post]

10/ Full guide with templates, checklists, and code:
[Link to blog post]

If you found this helpful:
→ Retweet the first tweet
→ Follow @AevionAI for more AI compliance insights
→ DM me with questions

Engagement Strategy:

Reply to mentions within 1 hour
Engage with AI safety community (Paul Christiano, Anthropic, Redwood Research)
Comment on regulatory news (EU AI Act, NIST, CISA)
Participate in #BuildInPublic, #AICompliance, #PostQuantum threads
Quote tweet with added value

Twitter Spaces:

Monthly: "AI Compliance Office Hours" (1 hour)
Invite guests: CISOs, regulators, researchers
Record and publish as podcast

Hashtags:

Primary: #AICompliance, #TrustworthyAI, #AIRegulation
Technical: #PostQuantum, #Cryptography, #MachineLearning
Community: #BuildInPublic, #DevRel, #OpenSource

3. YouTube (Video Content Hub)

Objective: Educational resource, SEO traffic, demo channel

Target Audience:

Developers learning AI verification
Decision-makers evaluating solutions
Researchers exploring cryptographic AI

Content Types:

1. Tutorials (Weekly):

"Add Verification to Your AI App in 5 Minutes"
"LangChain + Aevion Integration"
"Building a Verified Chatbot from Scratch"
"Post-Quantum Signatures for AI"

Format: 5-10 minutes, screen recording + voiceover

2. Explainers (Bi-weekly):

"What is AI Verification?"
"How Merkle Trees Work"
"EU AI Act Explained"
"Post-Quantum Cryptography 101"

Format: 3-5 minutes, animated or whiteboard

3. Customer Stories (Monthly):

"How [Company] Achieved Compliance with Aevion"
Interview format, 3-5 minutes

4. Conference Talks (As available):

Upload full recordings
Create highlight clips (1-2 min)

5. Live Streams (Monthly):

Office hours
Product demos
Q&A sessions

Optimization:

Titles: Include primary keyword, <60 characters
Descriptions: 200+ words, links to blog and resources
Tags: 10-15 relevant tags
Thumbnails: Custom design, 1280x720, text overlay
Playlists: Organize by topic
End screens: Subscribe, related videos
Captions: Auto-generate + manual review

Promotion:

Embed in blog posts
Share on Twitter, LinkedIn
Email to newsletter subscribers
Promote in Discord

4. Discord (Community Hub)

Objective: Real-time support, community building, engagement

See Community Strategy section for full Discord server design

Content Strategy:

#announcements: Blog posts, product updates, events
#tutorials: Step-by-step guides, videos
#show-and-tell: Community projects, use cases
#office-hours: Weekly live Q&A

Engagement:

Daily check-ins by team
Weekly office hours (live voice)
Monthly AMAs with guests
Community challenges with prizes

5. GitHub (Developer Platform)

Objective: Open-source credibility, developer adoption

Repositories:

1. aevion-sdk-python (Primary)

Stars target: 5,000 by Q4 2026
README: Clear quickstart, examples, links
CONTRIBUTING.md: How to contribute
CODE_OF_CONDUCT.md: Community standards
Issues: Triage daily, label ("good-first-issue", "help-wanted")
PRs: Review within 48 hours

2. aevion-examples

Integrations: OpenAI, Anthropic, LangChain, Hugging Face
Frameworks: FastAPI, Django, Express, Flask
Use cases: Chatbot, RAG, code generation

3. awesome-verifiable-ai

Curated list of resources
Papers, tools, datasets
Community contributions welcome

GitHub Discussions:

Feature requests
RFCs (Request for Comments)
Q&A
Show and Tell

GitHub Actions:

Auto-publish releases
Run tests on PR
Update docs
Notify Discord on new issues/PRs

6. Reddit (Community Discovery)

Objective: Organic reach, community feedback

Subreddits to Engage:

r/MachineLearning (1.7M members)
r/artificial (200K)
r/LocalLLaMA (100K)
r/cryptography (80K)
r/gdpr (20K)
r/startups (1.5M)

Strategy:

Participate authentically (10:1 ratio: provide value, rarely self-promote)
Answer questions, share knowledge
Share blog posts when highly relevant (ask permission)
Format: "I wrote a guide on [topic], hope it's helpful"
Engage in comments, don't drop and run

Content to Share:

Technical deep-dives (r/MachineLearning, r/cryptography)
Regulatory guides (r/gdpr, r/artificial)
Startup journey (r/startups, r/Entrepreneur)
Founder AMAs (schedule with subreddit mods)

Social Media Metrics

Tracking Dashboard:

Platform	Followers	Engagement Rate	Traffic to Site
LinkedIn	1,000 (Q4)	>3%	500/month
Twitter	2,000 (Q4)	>2%	300/month
YouTube	500 (Q4)	>5% (CTR)	200/month
Discord	1,000 (Q4)	50% MAU/total	-
GitHub	5,000 stars (Q4)	-	400/month

Weekly Reporting:

Follower growth
Top posts (engagement)
Referral traffic to blog/site
Mentions and brand sentiment

Tools:

LinkedIn Analytics
Twitter Analytics
YouTube Studio
Discord bots (MEE6)
GitHub Insights
Social Blade (tracking)
Buffer or Hootsuite (scheduling)

Swag Design Specs

Brand Guidelines

Colors:

Primary: #1A1A2E (Navy Blue)
Secondary: #16213E (Dark Blue)
Accent: #0F3460 (Deep Blue)
Highlight: #E94560 (Coral Red)
Text: #FFFFFF (White), #E5E5E5 (Light Gray)

Fonts:

Primary: Inter (headings, body)
Mono: JetBrains Mono (code, technical)

Logo:

Wordmark: "Aevion" in Inter Bold
Icon: Stylized shield with checkmark (verification symbol)
Lockup: Icon + wordmark horizontal
Minimum size: 1 inch wide (print), 120px (digital)

Style:

Minimalist, professional
Subtle branding (no giant logos)
Nerdy/technical aesthetic
High quality over quantity

Swag Tier System

Tier 1: Digital Rewards (Free)

Discord Roles and Badges:

New Member
Active Member (50+ messages)
Power User (500+ messages, helpful)
Contributor (merged PR)
Ambassador
Core Team

Website Badges:

Contributor profile on aevion.com/contributors
GitHub profile badge (SVG)
LinkedIn certification badge

Digital Certificates:

Workshop completion
Hackathon participation
Ambassador certification

Tier 2: Stickers and Small Items ($2-5 each)

Hex Stickers (2.5" hexagon):

Aevion logo (holographic finish)
"Verified by Aevion" badge (red accent)
"Trust, But Verify" slogan
Post-Quantum Ready (shield icon)
Merkle Tree visual (technical design)

Vinyl Stickers (3" round or square):

"Cryptographically Verified Since 2024"
Ed25519 signature visualization
Binary code pattern with Aevion hidden
"100K Proofs/Hour" speedometer design
SDVOSB veteran-owned badge

Design Specs:

File format: Vector (AI, SVG)
Colors: Full color, die-cut
Material: Weatherproof vinyl
Finish: Matte or holographic
Print: StickerMule or Sticker Giant

Minimum Order: 500 stickers = $250 ($0.50 each)

Laptop Sticker Pack (10 stickers):

All designs above
Package: Clear resealable bag with branded header card
Cost: $5 per pack

Tier 3: Apparel ($15-30 each)

T-Shirts:

Design 1: "Trust, But Verify (Your AI)"

Front: Text in Inter Bold, small Aevion logo
Back: Stylized digital signature pattern
Colors: Navy, charcoal, black
Sizes: XS-3XL
Material: 100% organic cotton (American-made)
Print: Screen print or DTG

Design 2: "Cryptographically Verified Since 2024"

Front: Text + Aevion logo
Back: Merkle tree visual
Colors: Navy, heather gray
Sizes: XS-3XL

Design 3: Minimalist Logo Tee

Front: Small Aevion icon (left chest)
Back: Nothing (or subtle pattern)
Colors: Black, navy, white
Sizes: XS-3XL

Vendor: Printful, Custom Ink, or Bella+Canvas (wholesale)

Cost:

Wholesale: $8-12/shirt
Retail equivalent: $25-30

Hoodies:

Design: Embroidered Aevion Logo

Front: Embroidered icon on left chest
Back: Nothing (clean design)
Colors: Navy, charcoal, black
Sizes: XS-3XL
Material: 80/20 cotton/poly blend
Fit: Unisex, pullover or zip-up

Cost:

Wholesale: $20-25/hoodie
Retail equivalent: $50-60

Hats:

Trucker Hat:

Front: Embroidered Aevion logo
Back: Mesh, snapback
Colors: Navy/white, black/gray

Beanie:

Cuff style
Embroidered logo
Colors: Navy, charcoal

Cost: $8-12 each (wholesale)

Tier 4: Accessories ($10-40 each)

Enamel Pins (Collectible Series):

Pin 1: Aevion shield logo
Pin 2: Merkle tree
Pin 3: Ed25519 signature
Pin 4: Post-quantum shield
Pin 5: "Trust, But Verify" banner

Specs:

Size: 1-1.5 inches
Material: Hard enamel, metal backing
Finish: Gold or silver
Backing: Butterfly clutch

Cost: $2-3 each (MOQ: 100)

Vendor: Pinlord, The Studio

Stainless Steel Water Bottle (20 oz):

Laser-engraved Aevion logo
Double-wall insulated
Colors: Matte black, navy, stainless

Cost: $12-15 each (wholesale)

Vendor: YETI, Hydro Flask, or generic (CustomInk)

Tech Organizer Pouch:

Canvas or nylon
Screen-printed logo
Zipper closure
Size: 8" x 5"

Cost: $5-8 each

USB-C Cable (Braided, 6 ft):

Co-branded: "Powered by Aevion"
Durable braided nylon
Fast charging

Cost: $8-10 each

Notebook + Pen Set:

Hardcover notebook (100 pages, dot grid)
Embossed logo
Pen: Metal, engraved logo

Cost: $10-12 per set

Tier 5: Premium Items ($50-200 each)

Backpack (Tech-Friendly):

Laptop compartment (15-17")
USB charging port
Water-resistant
Embroidered logo

Cost: $40-60 each

Vendor: SwissGear, Herschel (wholesale)

Mechanical Keyboard (Limited Edition):

60% or TKP layout
Custom keycaps: Aevion logo on Esc key
Switches: Cherry MX Brown or Blue
Co-branded with keyboard manufacturer

Cost: $80-120 each (special order)

Quantity: 100 units (limited run)

YubiKey Security Key (Co-Branded):

YubiKey 5 NFC
Laser-engraved: "Aevion Verified"
Partnership with Yubico

Cost: $40-50 each (partnership pricing)

Use: Prizes, security-focused ambassadors

Conference Jacket:

Softshell or fleece
Embroidered logo
Colors: Navy, black
Sizes: XS-3XL

Cost: $50-70 each

Use: Ambassadors, conference staff

Distribution Strategy

How to Earn Swag:

Free (Digital):

Join Discord
Introduce yourself
First merged PR

Low Tier ($2-10 value):

Attend office hours
Complete tutorial series
Join meetup
Newsletter referrals (3+ signups)
Social media engagement contest

Mid Tier ($10-40 value):

Merged code contribution
Published tutorial or blog post
10+ helpful answers in Discord
Organize local meetup
Speak at event about Aevion

High Tier ($50-200 value):

Ambassador status
Significant contribution (major feature, security finding)
Win hackathon
Speak at major conference
1-year anniversary as contributor

Events:

Conference booths: Stickers for all, t-shirts for demos/signups
Hackathons: Swag bags for participants, premium for winners
Meetups: Stickers and small items
Workshops: Completion certificates, stickers

Swag Inventory Management

Print-on-Demand vs. Bulk:

Print-on-Demand (Printful, TeeSpring):

Pros: No inventory risk, easy fulfillment
Cons: Higher per-unit cost, less control
Use for: Apparel (t-shirts, hoodies)

Bulk Orders (Wholesale):

Pros: Lower per-unit cost, higher quality
Cons: Upfront investment, inventory management
Use for: Stickers, pins, accessories

Recommended Approach:

Stickers: Bulk (500-1,000 units)
T-shirts: Print-on-demand initially, bulk after demand validation
Premium items: Bulk for ambassadors and events

Storage:

Small items: Office or home storage
Large quantities: Fulfillment center (ShipBob, Red Stag)

Fulfillment:

Domestic: ShipBob, Fulfillment by Amazon
International: ShipBob global
Direct mail: In-house for small quantities

Swag Budget (2026)

Category	Q1	Q2	Q3	Q4	Total
Stickers	$500	$300	$300	$400	$1,500
Apparel	$1,000	$1,500	$1,500	$2,000	$6,000
Accessories	$500	$750	$750	$1,000	$3,000
Premium Items	$0	$500	$1,000	$1,000	$2,500
Event Swag	$500	$500	$500	$500	$2,000
Total	$2,500	$3,550	$4,050	$4,900	$15,000

Cost Optimization:

Negotiate bulk discounts (>10% for orders >500 units)
Co-branding with partners (split costs)
Sponsor donations (YubiKey partnership, backpack sponsor)
Print-on-demand for low-volume items

ROI Tracking:

Swag requests (proxy for community interest)
Conversion: Swag recipient → contributor/customer
Social media mentions featuring swag (brand awareness)
Event attendance boost from swag incentives

Appendix

Key Performance Indicators (KPIs)

North Star Metric: Active Developers (10,000 by Q4 2026)

Supporting Metrics:

Discord MAU (500 by Q4)
GitHub stars (5,000 by Q4)
Blog visitors (50K/month by Q4)
Conference talks (15 by Q4)
Newsletter subscribers (1,500 by Q4)

Tools and Resources

Content Creation:

Grammarly (writing)
Hemingway Editor (readability)
Canva Pro (graphics)
Loom (video)
OBS Studio (screen recording)

SEO and Analytics:

Google Analytics 4
Google Search Console
Ahrefs or SEMrush
BuzzSumo

Social Media:

Buffer or Hootsuite (scheduling)
Sprout Social (analytics)
TweetDeck (Twitter monitoring)

Community:

Discord
GitHub
Slack (internal)
Zoom (office hours, webinars)

Email:

HubSpot or Mailchimp
ConvertKit (alternative)

Project Management:

Notion (content calendar, knowledge base)
Asana or Linear (task tracking)
Airtable (CRM, event tracking)

Budget Summary (2026)

Category	Annual Budget
Paid Ads	$18,000
Tools and Software	$7,200
Events and Conferences	$40,000
Swag	$15,000
Ambassador Stipends	$14,400
Content Creation (freelancers)	$6,000
Travel	$15,000
Total	$115,600

Funding Sources:

Allocated from overall Aevion budget
Offset by event sponsorships (~$15K)
ROI target: 3x (leads, conversions, brand value)

Next Steps

Immediate (Week 1):

Set up Discord server
Create content calendar in Notion
Design first swag items (stickers)
Draft first conference talk submission

Short-term (Month 1):

Launch blog and publish 4 posts
Host first office hours
Order initial swag batch
Submit to 2 conferences

Medium-term (Quarter 1):

Recruit 3 community moderators
Reach 100 Discord members
Deliver first conference talk
Launch ambassador program applications

Long-term (Year 1):

1,000 Discord members
50+ active contributors
8+ conference talks delivered
10,000 active developers

Document Control:

Created: 2026-01-01
Last Updated: 2026-01-01
Owner: Scott Leishman, Aevion LLC
Contributors: Claude (AI Research Partner)
Next Review: 2026-02-01 (monthly)
Version: 1.0

This playbook is a living document. Update based on learnings, community feedback, and changing priorities. Bias toward action and iteration.

Aevion Developer Relations Playbook

Aevion Developer Relations Playbook

Table of Contents

Executive Summary

Mission Statement

2026 Goals

Key Principles

Success Metrics

Conference Talk Abstracts

1. Tier 1: Research Conferences (NeurIPS, ICML, ICLR)

"Cryptographic Verification of Neural Network Outputs at Scale"

2. Tier 1: Security Conferences (Black Hat, DEF CON, RSA)

"Breaking and Defending AI Verification Systems"

3. Tier 1: Infrastructure (KubeCon, re:Invent, Google Cloud Next)

"Scaling AI Verification to 100,000 Proofs/Hour on Kubernetes"

4. Tier 2: Business/Industry (AI Summit, Web Summit, Collision)

"Why Your AI Needs a Cryptographic Proof Layer: The Business Case"

5. Tier 2: Government/Federal (GovTech, FOSE, ACT-IAC)

"SDVOSB Journey: Building AI Verification for Federal Agencies"

6. Local/Regional Events

A. Minnesota Tech Meetup (30 min)

B. University Guest Lecture (50 min)

C. Startup Week Lightning Talk (20 min)

Workshop Materials

1. Hands-On Technical Workshop (3-4 hours)

"Verifiable AI for Healthcare: HIPAA Compliance in Practice"

2. Executive Workshop (2 hours)

"AI Verification for CIOs: Risk Mitigation Strategies"

3. Academic Workshop

"Verifiable AI for Researchers: Reproducibility and Provenance"

Hackathon Guide

Aevion Hackathon Playbook

Overview

Virtual Hackathon (48 hours)

Theme: "Build the Most Trustworthy AI"

In-Person Hackathon (Weekend)

Location: Minneapolis or San Francisco

Community Metrics

Metrics Framework

Primary Metrics (Weekly Tracking)

1. Active Developers

2. Discord Community Health

3. GitHub Engagement

4. Content Performance

5. Event Metrics

Secondary Metrics (Monthly Tracking)

Developer NPS (Net Promoter Score)

SDK Adoption

Support Quality

Reporting Dashboards

Weekly DevRel Dashboard

Monthly Deep-Dive Report

Ambassador Program

Program Overview

Ambassador Tiers

Tier 1: Community Champion

Tier 2: Ambassador

Tier 3: Developer Advocate (Full-Time)

Application Process

Recognition Programs

Monthly MVP (Most Valuable Person)

Quarterly Awards

Annual Ambassador Summit

Ambassador Resources

Content Calendar

2026 Editorial Calendar

Q1 2026: Foundation

January

February

March

Q2 2026: Growth

April

May

June

Content Formats

Blog Post Templates

Video Scripts

Whitepapers

Social Media Strategy

Platform Strategy