ChatGPT and Codex Automation: Use quik.md or Build an Agent Inbox

ChatGPT and Codex can generate plans, review diffs, explain errors, and suggest fixes. That is not the hard part anymore.

The hard part is retention.

A good ChatGPT answer can disappear in chat history. A useful Codex review can vanish in terminal output. A real follow-up can be forgotten because it was not part of the current commit.

Automation becomes reliable when generated work lands somewhere reviewable.

The two paths

Path 1: ChatGPT and Codex plus quik.md

Use the models for thinking and code work. Use quik.md for durable follow-ups.

Example capture:

{
  "text": "Codex follow-up from PR #18\n\nFinding: webhook handler validates signature after parsing body.\nRisk: raw body may be mutated before verification.\nNext: move signature verification before JSON parse.",
  "type": "todo",
  "source": "api",
  "organize": false
}

Send it to:

POST https://quik.md/api/v1/capture
Authorization: Bearer example-key
Content-Type: application/json

Path 2: ChatGPT and Codex plus your own inbox

If you want to build your own system, the core contract is the same:

POST /capture
Authorization: Bearer example-key
Content-Type: application/json

{
  "text": "Codex follow-up from PR #18...",
  "type": "todo",
  "source": "codex",
  "sourceEventId": "github:egebese/quik:pull/18:codex-review-2",
  "metadata": {
    "repo": "egebese/quik",
    "pr": 18,
    "tool": "codex"
  }
}

The architecture is here:

Build an AI automation inbox without quik.md

Where ChatGPT fits

ChatGPT is strongest before implementation:

• turning messy requirements into a plan
• explaining a technical tradeoff
• drafting acceptance criteria
• converting user feedback into possible product work
• identifying unclear assumptions

Do not capture the whole answer. Capture decisions and next actions.

Where Codex fits

Codex is strongest near the diff:

• reviewing code changes
• finding missing tests
• spotting security issues
• checking edge cases
• proposing targeted patches

A Codex finding should end in one of three states:

1. Fixed now. Patch it before merge.
2. Rejected. Leave a reason.
3. Captured. Create an inbox item because it is real but out of scope.

How to automate the capture

Simple version:

1. Ask Codex for review findings in a structured format.
2. Manually approve the ones that should survive.
3. Send approved follow-ups to quik.md or your own capture endpoint.

More automated version:

1. Store Codex review output as JSON.
2. n8n or Make.com watches the review artifact.
3. Filter for status: follow_up.
4. POST each item to /capture.
5. Notify only if the capture fails.

n8n starter workflows are here:

Open the n8n workflow templates on GitHub

Why quik.md is useful here

The model is not the memory layer. The chat is not the memory layer. The terminal is not the memory layer.

quik.md is useful because it gives generated work a simple landing zone. Rough items can be captured first and organized later.

If you already have an internal task system, build the same capture contract. If you do not, quik.md saves you from maintaining the boring parts.

FAQ

How should ChatGPT and Codex fit into a developer workflow?

Use ChatGPT for planning, Codex for review or implementation support, and a task inbox for unresolved work.

Can I automate Codex follow-ups into quik.md?

Yes. Capture deferred findings, test gaps, and deployment risks through the quik.md capture API after review.

Can I build this without quik.md?

Yes. The self-hosted guide shows the minimum architecture.

What should not become an inbox item?

Completed work, vague notes, and every model suggestion. Capture only unresolved work with a source and next action.