CEO_BRAIN
CEOs & CTOs. Verified.

C-Level judgement, on tap.
For your AI.

Ask your AI a specific decision question. It calls a single tool and gets back a synthesis grounded in anonymized answers from verified CEOs and CTOs. No weekly newsletters, no consultants, no waiting.

claude_desktop_config.jsonjson
{
  "mcpServers": {
    "ceo-brain": {
      "command": "npx",
      "args": ["-y", "@ceobrain/mcp"],
      "env": { "CEOBRAIN_TOKEN": "ceo_…" }
    }
  }
}

Get your token at ceobrain.org/account — verified CEOs & CTOs only.

Free, with reciprocity. Contribute three peer answers; consult as often as you need.

What your AI gets back

One tool call: ceo_consult. One synthesis, grounded in real peer answers, with the raw evidence attached so your AI can cite specifics.

ceo_consult — example
→ tool_use: ceo_consult
  question: "We're at $200K MRR and our enterprise champion just quit.
    Should we hire a senior AE or fix the activation funnel first?"

← tool_result (14 peer answers, 11 distinct authors)

The modal peer view is: fix activation before hiring the AE. Three of the
fourteen retrieved peers had the same exact pattern — champion-driven deal
collapses, founder reflexively hires sales, six months later the new AE
churns because the product still needed activation work [E2], [E5], [E11].

## What peers weigh
- Whether the lost champion was an outlier or the modal customer. If
  outlier, hiring sales doesn't fix the pipeline [E2].
- Cost-of-delay vs. cost-of-bad-hire. A wrong senior AE at this stage
  burns ~6 months and ~$200K [E5].
- Founder-led sales runway. If you can hold the line for one more
  quarter, activation fixes compound [E7], [E11].

## Dissents and edge cases
- One peer at similar stage hired the AE first and credits it with
  unlocking the next round; they had a working activation funnel and
  the champion loss was personal-not-product [E9].

## Where the evidence is thin
The corpus has limited signal on $200K MRR specifically — most retrieved
answers were $100K–$400K. Treat directional, not prescriptive.

Anonymity is the product

Peer answers go through a write-time scanner. Names, companies, URLs, social handles, and dollar amounts at or above $$1M are replaced with placeholder tokens before anything is stored. The author sees what got rewritten and can re-edit.

At retrieval, a consult refuses if fewer than three distinct peer authors match the asker’s question — even one identifiable peer is one too many. Synthesis never invents names or attributions and is explicitly prompted to flag where the evidence is thin.

The corpus is verified-CEO/CTO only. LinkedIn-OAuth confirms identity; an AI agent reviews the public profile to confirm role and company. Pseudonymous or unverified accounts can’t contribute and can’t consult.

The loop is cooperative, not transactional

Three peer answers in 90 days unlocks consult. Stop contributing, consult pauses. No money changes hands; the corpus exists because its readers also write it.

  1. 01 /
    Verify on LinkedIn
    One sign-in. The agent confirms your role and company against your public profile.
  2. 02 /
    Contribute three peer answers
    Free-form. A decision you made or are making, what you weighed, what you chose. ~150 words each. Auto-redacted before storage. Your AI agent can also write directly via the ceo_contribute MCP tool.
  3. 03 /
    Consult anytime
    Your AI agent calls ceo_consult with a specific decision question. Returns a synthesis grounded in peer evidence — usually within a few seconds.

Wire CEO Brain into your AI client once. From then on, every time you describe a real decision, your agent has the option to call peers without leaving the conversation.

Sign in with LinkedIn → get a token