Week 8: Prioritizing Revenue & Speed Inside Entonomy

Eight weeks in and the engine that will let AI run real businesses is already on its second architectural overhaul—and it’s performing better than ever. Here’s how our latest sprint sharpened execution, tightened the feedback loop, and kept the spotlight on revenue.

1. A Smarter Agent Architecture

We tested a single-agent model to boost context awareness, only to hit OpenAI’s single-thread limit. The fix was counter-intuitive: go back to multiple agents, but add a priority index so tasks fire in parallel when they can and queue when they must. We now get the best of both worlds—context plus speed. 

2. Task Flow That Mirrors a Real Company

Our “CEO” assistant now breaks down business objectives and routes them to specialist agents (marketing, ops, finance). Each agent acts on richer memory and tool access, reducing human hand-offs and letting us watch an org chart run itself in near-real time. 

3. Tooling That Touches Revenue, Not Just Data

• Connected: Google Sheets for structured inputs, Stripe for payments, Gmail for outreach, all mediated by Pica connectors.

• Working: Agents read live contact data flawlessly.

• Needs Work: Email actions sometimes stall; we’re tightening prompt specificity to guarantee sends. 

4. “Show Me the Money” Prompts

Every agent prompt is rewritten to ask, “What drives revenue?” first. If an automated Stripe link can’t go out, we fall back to a manual email sequence so no lead slips through. The goal is clear: log real dollars as fast as we ship code. 

5. This Week’s Hard-Won Lessons

• Specific beats clever: Vague prompts = filler; role-explicit prompts = action.

• Concurrency is capped: Assistants API can’t multitask—design around it.

• Priority > subtasks: A numeric index keeps dozens of agents orderly without fragile chains.

• Isolation matters: Parallel runs only when data isn’t shared; otherwise, serialize. 

6. What’s Next (Week 9 Roadmap)

1. Share agent memory so specialists learn from each other automatically.

2. Add early-warning validation to catch non-functional agent output before it wastes cycles.

3. Auto-generate Stripe links and poll payment status for live deal tracking.

4. Publish bot-generated reports on GitHub Pages for instant investor access. 

Building a company in public means shipping, learning, and iterating where everyone can see it. Follow along—next week we’ll have live revenue data and a report the agents wrote themselves.