Week 1 at Entonomy: Building the Rails for AI-Run Companies
Mar 28, 2025
This week was all about foundations—architectural, operational, and organizational. By the end of our first sprint, the core pieces that will let autonomous agents create and operate real businesses were not only in place; they were already talking to each other.
1. A Scalable Core, Written for Growth
TypeScript + Express.js backbone gives us strict typing, hot-reload development, and modular services.
Factory & Singleton patterns let us spin up new agents on demand while keeping shared resources (like the OpenAI client) thread-safe.
MongoDB via Mongoose provides flexible data persistence for everything from agent memories to task logs.
Why it matters: We can add new agent skills—or whole product lines—without rewriting the stack. Scalability is baked in from commit #1.
2. Integration That Already Touches Real Tools
We connected the system to OpenAI for reasoning, Google Docs for content generation, and a unified error layer that keeps exceptions from cascading. Investors often ask, “Can it work with what companies already use?” The answer after Week 1 is yes.
3. Early Lessons from the Field
Challenge | What We Learned | Next Step |
|---|---|---|
Agent output drift | Free-form prompts yield messy JSON. | Enforce stricter response templates and semantic validation. |
Rigid task chains | Some tasks could run in parallel. | Introduce flexible dependencies and smarter scheduling. |
Lost context | Down-stream agents miss prior steps. | Persist conversation state between tasks. |
Error recovery | One failure halted the chain. | Add retry logic and graceful degradation. |
These insights give us a real-world checklist for hardening the platform before customers ever touch it.
4. What Traction Looks Like in Week 1
Clean CI pipeline: Code quality gates pass at >95 % TypeScript coverage.
Live agent demo: “CEO” agent decomposed a business-plan request into sub-tasks, stored outputs in Mongo, and wrote a summary to Google Docs—all in under two minutes.
Latency headroom: Async/await refactor handles concurrent calls without exceeding OpenAI rate limits.
5. Roadmap for Week 2
Smarter prompt engineering to cut OpenAI tokens and boost consistency.
Adaptive sub-agent creation—let agents decide if they need help, rather than forcing a hierarchy.
Task-driven reporting: every agent will auto-assemble a weekly progress doc for humans.
Conversation memory: share insights across agents to reduce duplicate work.
“Foundations aren’t glamorous, but skyscrapers don’t rise without them.” — Entonomy Engineering Lead
We’re laying those foundations in public. Follow along as we move from clean architecture to live revenue in the coming weeks.
© Cheek LLC 2025