ChatGPT surface for ThumbGate

ThumbGate for ChatGPT

Use the live ThumbGate GPT to preflight risky agent actions, capture typed thumbs-up/down lessons, and route those lessons into local enforcement for Codex, Claude Code, Cursor, Gemini CLI, and MCP-compatible agents.

Live GPT link: /go/gpt Action schema: /openapi.yaml Local gate: npx thumbgate init
ChatGPT + ThumbGate typed feedback -> rules
Before I run this migration, check whether this repeats a rejected deploy pattern.
ThumbGate: Require evidence first: test output, rollback path, and the exact affected tables. Then install the local gate so future agents are blocked before execution.
thumbs down: agent claimed the release was published before checking npm and CI npx thumbgate init --agent codex

What ships today

This is the ChatGPT-facing distribution page. It keeps the claim precise: ChatGPT is the discovery, advice, checkpointing, and typed-feedback surface. The hard block still runs in the local agent or CI lane.

Live GPT entrypoint

The public GPT lets users paste proposed actions, risky commands, PR steps, deploys, refunds, and agent plans before running them.

GPT Action schema

The OpenAPI schema is publicly served for GPT Actions import and kept in the package so installs do not depend on hidden docs.

Local enforcement path

ThumbGate still blocks repeated mistakes where work happens: Codex, Claude Code, Cursor, Gemini CLI, Amp, OpenCode, MCP, and CI.

Install flow

Open the ThumbGate GPT

Use the GPT for setup help, action review, and typed feedback. If the direct link does not open, search Explore GPTs for ThumbGate by Igor Ganapolsky.

Import the GPT Action schema when configuring a custom GPT

Use https://thumbgate.ai/openapi.yaml as the Actions schema. API key auth uses a bearer token from the ThumbGate environment.

Install the local gate

Run npx thumbgate init or the agent-specific command so lessons can become pre-action checks in the coding session.

Honest capture note: ChatGPT's native thumbs rating buttons are not the ThumbGate memory path. Type thumbs up: or thumbs down: with one concrete sentence so ThumbGate can store a structured lesson.

Enterprise packaging

Teams can use ChatGPT as the human-facing review surface while ThumbGate enforces policy in the local or server-side execution lane. That gives buyers a simple story: one GPT for triage, one Codex plugin for coding, one shared lesson/rule store for repeat prevention.

Use both OpenAI surfaces

Codex gets the execution-side plugin. ChatGPT gets the review and lesson-capture entrypoint. Together they make ThumbGate visible before the mistake and enforceable when the agent reaches for tools.