Four phases to build an AI-run company.
This isn't a moonshot. It's a methodical plan. Each phase builds on the last, creating the infrastructure for truly autonomous AI operations.
Give AI eyes. Before AI can run a company, it needs to see what's happening. Errors, logs, metrics, user behavior—everything.
This phase builds the observability stack that powers all future AI decisions. Without visibility, there's no intelligence.
Why this matters for AI: Claude and other LLMs are incredibly capable—but they're blind. They can't see your production errors, your user analytics, your server metrics. These tools give AI the context it needs to make real decisions.
# With Reflex + Recall + Claude
> Error spike detected in PaymentsController
> Querying logs for context...
> Found: NilClass error on line 42
> Root cause: Missing user.subscription
# AI can now suggest or apply fix
Today: AI helps you debug faster.
Tomorrow: AI fixes it autonomously.
Task: Add dark mode
Created from user feedback analysis
1. Add CSS variables for theme
2. Create toggle component
3. Store preference in localStorage
4. Update 12 affected components
Give AI hands. Orchestration, task management, browser automation. The infrastructure for AI to actually do things.
This phase creates the project management layer. AI can break down tasks, coordinate work, and control browsers to test and deploy.
The key insight: LLMs can already write code. What they lack is the ability to manage projects, coordinate tasks, and interact with the real world. These tools bridge that gap.
The first AI developer. Not a copilot. Not an assistant. An autonomous agent that ships features end-to-end.
Using the observability and build tools from phases 1-2, the AI developer can read requirements, write code, run tests, and deploy—without human intervention.
Receive Task
From Synapse task queue
Analyze Context
Read codebase via Recall
Write Code
Using Claude + context
Test & Validate
Run tests, check errors via Reflex
Deploy
If tests pass, ship it
Monitor
Watch for issues via Pulse
APEX
CEO
FORGE
CTO
ATLAS
CFO
HERALD
CMO
COMPASS
CPO
SENTINEL
CISO
ADVOCATE
CCO
CLOSER
CRO
8 executives coordinating 24+ worker agents
The AI executive team. A full C-suite of AI agents running the company autonomously, with human oversight for key decisions.
APEX (CEO) coordinates the team. FORGE manages engineering. HERALD runs marketing. Each executive has worker agents reporting to them.
The endgame: You wake up to a morning briefing from your AI CEO. She summarizes overnight activity, highlights decisions that need your input, and asks for approval on strategic changes. Everything else runs autonomously.
You can't build an autonomous AI developer without observability. How would it know if its code broke something?
You can't build an AI executive team without project management tools. How would they coordinate and assign work?
Each phase creates the prerequisite infrastructure for the next. It's not just a business plan—it's a technical dependency graph.
THE FORMULA:
Observe (visibility) + Build (action) + Develop (coding) = Operate (autonomy)
Building in public. Follow along.
0 / 7 products launched
Overall Progress
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We're in the early stages of Phase 1, building the observability foundation. Each product will be released as it's ready, with full documentation and MCP integration.
Watch us build this in real-time. Every product, every milestone, every decision.