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Patrick Chouinard
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AI Developer Accelerator — Coaching Call - February 10
VIEW RECORDING - 108 mins (No highlights)
Meeting Purpose
A developer coaching call on AI agent frameworks and business strategy.
Key Takeaways
OpenClaw is a game-changer for automating tedious tasks, but requires a secure, isolated setup (e.g., dedicated VM, strict API keys) to mitigate its inherent security risks.
AI's speed shifts developer value from coding to business strategy. The new focus is on business discovery, value-based pricing, and using AI to solve high-value problems, not just write code.
Advanced OpenClaw setups optimize cost and performance by using a multi-channel Discord interface to manage context, routing tasks to cost-effective models (e.g., OpenRouter), and calling Claude Code headlessly for complex work.
AI-assisted debugging and documentation are essential. Morgan's Drizzle ORM and Vercel deployment issues highlight the need for persistent, project-specific documentation to avoid repeating complex fixes.
Topics
The OpenClaw Revolution: Automation & Security
OpenClaw (formerly Clawd) is a powerful agent framework for automating tasks.
Core Use Cases:
Patrick: Monitors Montreal traffic to trigger early alarms for public transport delays.
Ty: Automates monthly client invoicing by pulling usage data from emails and credit cards.
Security is paramount. The framework is not hardened out-of-the-box, making isolation critical.
Patrick's Strategy: Treats the agent as a "co-worker" with good intentions but no inherent security.
Runs in an isolated Proxmox VM.
Uses a dedicated identity (Gmail, GitHub, calendar).
Uses API keys with strict caps to limit the blast radius of any error.
Ty's Strategy: Built a custom "Secure Claw" on AWS, accessible only via a Telegram bot.
Advanced Architectures for Efficiency:
Patrick's Setup:
Interface: Discord, with dedicated channels to isolate conversation context.
Memory: A three-layer system to improve precision and reduce token usage:
Global memory (agent identity)
Channel-specific memory (task context)
Conversation context
Model Routing: Uses OpenRouter for cheap, daily tasks (e.g., Qwen 3) and calls Claude Code headlessly for complex work, leveraging an existing subscription without API key sharing.
Project Management: Uses GitHub Projects for task tracking and Obsidian for a searchable journal of the agent's decisions.
AI's Impact on Development & Business Strategy
AI's speed fundamentally changes the developer's role and value proposition.
Jake's Experience: Used Claude to fix ~1,000 Jira bugs in 30 minutes, a task that would have taken months manually.
Insight: This speed shifts the focus from coding to business strategy. The value is in solving the client's core problem, not just executing tasks.
Paul's Approach:
Business-First Consulting: Prioritizes understanding the client's business problem over showcasing AI features.
Strategic Investment: Uses AI's coding efficiency to free up resources for deeper business discovery and process improvement.
Targeting "Unsexy" Industries: Focuses on practical, repeatable problems (e.g., logistics, sales automation) that offer high commercial value.
Project Demos & Technical Challenges
Marc:
Fitness App: Next.js/Python on Railway. Features an AI trainer with adjustable personas (e.g., "drill sergeant").
Stock School App: Vercel/Google Cloud. A paper-trading app that grants $25k virtual capital after users complete tutorials.
Scott (Clarity App): A developer tool combining code-based context with project management.
Features: GitHub sync for code analysis, prompt generation for Claude Code, and a time-blocking feature that suggests work times based on calendar availability.
Monetization: Stripe-integrated plans ($20–$50/mo) with AI usage credits and top-up packs.
Ryan:
Social Platform: Optimized performance by replacing raw images with thumbnails.
Upcoming Projects: An e-commerce site (integrating USPS/label printers) and a London taxi tour booking system.
Cost-Saving Tip: Scott suggested running the email system locally on a virtual environment to avoid high cloud usage costs.
Morgan:
Drizzle ORM Bug: A silent failure in a Drizzle ORM connection pool was caused by missing prepare=false in the connection string.
Vercel Deployment Issue: Vercel's IPv4-only support prevents using dedicated Supabase Postgres roles for multi-tenancy, forcing a fallback to the less-secure main postgres user.
Sharp Library Fix: Required a vercel.json file and package.json updates to correctly install platform-specific optional packages for Windows and Linux.
Next Steps
Marc: Investigate Clerk and WorkOS as alternatives to Supabase for authentication.
Ryan: Consult Scott on setting up a local virtual environment for the e-commerce email system to manage costs.
Raghav:
Record all client meetings and transcribe them for AI analysis.
Use AI to research clients before meetings and generate tailored prompts.
Paul: Host the next meeting.
Action Items
Host next AI Developer Accelerator coaching call -
WATCH (5 secs)
Evaluate Clerk + Dockploy for auth/hosting -
WATCH (5 secs)
Build OpenClaw bot; start forex/day-trading tutorials -
WATCH (5 secs)
Build chess-teaching app -
WATCH (5 secs)
Schedule 1:1 w/ Scott re: local Claude/email setup -
WATCH (5 secs)
Record IT services + tax consultant meetings; transcribe for AI analysis -
WATCH (5 secs)
Research IT services + tax consultant targets pre-meetings -
WATCH (5 secs)
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AI Developer Accelerator — Coaching Call - February 10
AI Developer Accelerator
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