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Patrick Chouinard
3d •
General discussion
AI Developer Accelerator — Coaching Call - February 24
VIEW RECORDING - 173 mins (No highlights)
Meeting Purpose
Reviewing personal projects, AI workflows, and business strategies.
Key Takeaways
Morgan's Cemetery Management System is a "golden goose" opportunity. It solves a critical compliance problem for counties, creating a sticky, repeatable SaaS product with a clear path to national scale. The immediate priority is securing the first paying customer and then aggressively pursuing SOC2/HIPAA compliance to build a defensible moat.
AI development is now bottlenecked by human interaction, not coding. The new workflow is to maximize "shots downrange" by eliminating friction. This includes using tools like Warp for parallel AI chats and a Meta Quest 3 for an unlimited virtual workspace, enabling one person to run an entire company.
A critical need exists for AI verification and testing frameworks. As AI code is non-deterministic, traditional testing fails. Ty's "Usai" project addresses this with a formal verification layer to ensure AI outputs are logically sound, solving a major reliability challenge for developers.
The next 1–2 years are a "wartime" opportunity for AI systems builders. Competition is low, and demand is high, making this the prime time to build valuable systems. The most critical skill is identifying high-leverage business problems and orchestrating agents to solve them.
Topics
Business Strategy & Monetization
Cemetery Management System (Morgan Cook):
Problem: Counties face non-compliance with state Freedom of Information Act (FOIA) requests due to legacy software and manual processes.
Solution: A multi-tenant SaaS platform that serves as the System of Record (SOR) for cemetery data, featuring advanced D3 visualizations to navigate complex plot hierarchies.
Business Model:
Client 1: Pays for development in exchange for product influence, with Morgan retaining all IP.
Scalability: The compliance-driven need makes it repeatable across all counties in the state and nationally.
Go-to-Market: The immediate priority is securing the first paying customer, then scaling outreach to all counties.
Moat: SOC2 and HIPAA compliance will be a significant barrier to entry for competitors.
Topic Launch (Jaylen Davis):
Product: A platform for content creators to monetize video requests from fans (90% creator cut).
Feedback: The consumer-facing model has low revenue potential.
Recommendations:
Pivot to B2B: Target businesses for higher-value contracts.
Adopt a Subscription Model: Offer creators a monthly fee ($50–$99) for a community hub where fans can vote on ideas, creating a stable recurring revenue stream.
Add In-App Recording: Simplify the creator workflow by allowing direct video capture.
EdTech Platform (Elijah Stambaugh):
Product: An emotional behavior platform for schools, licensed from Ohio University.
Monetization:
School-level: $500/school + $500 implementation fee.
District-level: $25k for a 50-building district.
Acquisition: The long-term goal is acquisition by major EdTech investors (e.g., Pearson, McGraw-Hill).
Feedback: The $500/school price point is too low for a B2B product, creating a difficult sales cycle. The recommendation is to target higher-value problems or larger contracts.
AI Development & Workflows
AI Agent Security & Isolation:
Patrick's Approach: A "10/10 secure" setup using a dedicated local container with its own VM, email, calendar, and GitHub account. This provides complete isolation and prevents prompt injection.
Brandon's Approach: A "poor man's" setup where the agent is limited to a single Slack channel and cannot send emails. It can only read information and write to Google Drive, minimizing risk.
AI-Assisted Development:
Marc Juretus: Built a fitness app with a "dictate workout" feature using Vertex AI. It parses natural language (e.g., "3 sets of tricep pushdowns for 50") and logs exercises automatically.
Scott Rippey: Developing "Code Anvil Mobile," a lightweight mobile UI for a Claude Code instance. It uses the Agent SDK and a Cloudflare tunnel for secure, remote access.
Productivity & Workflow Optimization:
Brandon Hancock: Uses a Meta Quest 3 for an unlimited virtual workspace, running 15+ Claude Code instances simultaneously. This eliminates the monitor as a bottleneck, allowing one person to manage an entire business.
Morgan Cook: Switched from PowerShell to WSL (Windows Subsystem for Linux) after Claude Code struggled with Windows syntax, significantly reducing token waste from failed commands.
AI Verification & Testing:
Usai (Ty Wells): A formal verification layer for AI output. It acts as a "spell check for logic," ensuring AI-generated code and responses are semantically correct, not just syntactically valid. This solves the critical problem of testing non-deterministic AI applications.
Next Steps
Morgan Cook:
Secure the first paying customer for the Cemetery Management System.
Aggressively pursue SOC2 and HIPAA compliance.
Build a scalable go-to-market strategy.
Email Brandon for an introduction to a TinySeed-like investor once the first customer is secured.
Jaylen Davis:
Re-evaluate the Topic Launch business model, considering a pivot to B2B or a creator subscription model.
Scott Rippey:
Finalize and share the "Code Anvil Mobile" public repo.
Brandon Hancock:
Connect with Ty Wells on Friday to discuss the Usai project.
Connect with Paul Miller on Friday to discuss scaling AI projects.
Elijah Stambaugh:
Refine the EdTech platform's business model to target higher-value contracts.
Recruit a production-level AI developer for the project.
Action Items
Email Patrick gym app link + exercise video demos -
WATCH (5 secs)
Schedule Fri 1:1 w/ Ty re: Usai formal verification -
WATCH (5 secs)
Email Code Anvil Mobile repo link to group -
WATCH (5 secs)
Schedule Fri 1:1 w/ Paul re: AI project workflow -
WATCH (5 secs)
Email D3 hierarchy example to Ty -
WATCH (5 secs)
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AI Developer Accelerator — Coaching Call - February 24
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