# Skool About + Pinned Post Copy (Operator Lab)

Updated: 2026-05-05

Guardrail: do not publish posts, invite members, upload files, or send messages without explicit action-time confirmation.

## About Page (paste-ready)

### Headline

Stop your AI coding agent from repeating the same mistake twice.

### What this is

ThumbGate Operator Lab is a free Skool group for operators shipping Claude Code, Codex, Cursor, Gemini CLI, Amp, OpenCode, and MCP-based workflows.

Bring one repeated failure from one real workflow. We turn it into an enforceable **Pre-Action Gate** (a check that runs before the risky action), plus a proof run you can defend.

### What you’ll do here

1. Post one repeated mistake (with context).
2. Get a diagnosis: what to block, what to validate, what to log.
3. Turn it into one prevention rule + one gate.
4. Produce a small proof pack (before/after behavior and verification evidence).

### Who it’s for

- Solo operators building agentic workflows
- Teams standardizing risky local actions (coding, deploy, data access)
- Consultancies shipping Claude-first automation for clients

### How to post (template)

1. Agent/tool:
2. Repo/workflow:
3. What it keeps doing:
4. What should happen instead:
5. What you’ve tried already:
6. What would make you trust the fix (proof):

### Optional next step (paid, if you want it)

If you have one workflow owner and one repeated failure that blocks rollout, the next step is a **Workflow Hardening Diagnostic** (`$499`) or **Workflow Hardening Sprint** (`$1500`) depending on scope.

Intake:

- `https://thumbgate-production.up.railway.app/#workflow-sprint-intake`

Proof (truth + engineering evidence):

- `docs/COMMERCIAL_TRUTH.md`
- `docs/VERIFICATION_EVIDENCE.md`
- `proof/compatibility/report.json`
- `proof/automation/report.json`

## First Pinned Post (“Start Here”)

Welcome to ThumbGate Operator Lab.

If your AI coding agent keeps repeating the same mistake, post it using this format:

1. Agent/tool:
2. Repo/workflow:
3. The mistake it keeps repeating:
4. The correct behavior:
5. Where the risk is (deploy? data? approvals?):
6. What proof would convince you it’s fixed:

Rule here: the best first win is narrow — one mistake, one gate, one proof run.
