How to Humanize Error Code Documentation After ChatGPT

How to Humanize Error Code Documentation After ChatGPT

ChatGPT error docs define codes in prose paragraphs integrators never read. Lock code, HTTP status, cause, and copy-paste fix first. Humanize explanation once—not invented codes or wrong retry logic.

4 min read
error codesapi documentationdeveloper docstroubleshootingai humanizer

Integrators live in failure mode. ChatGPT error documentation gives them literary definitions: three paragraphs on what "unauthorized" means philosophically, no curl that reproduces the 401, and retry advice that contradicts your rate limiter.

Support tickets follow. Churn follows. The fix is not prettier prose—it is code → cause → copy-paste fix on one screen.

Human Writes is the voice pass after engineering locks codes and fixes. It does not invent ERR_PAYMENT_402 or tell users to retry when your API returns non-retryable 400.

Related: humanize API documentation, developer changelog, runbooks, README first-run. Hub: best practices for humanizing AI content.

What AI error docs get wrong

FailureIntegrator pays
Invented error codesWrong grep in logs
Wrong HTTP statusBad client handling
"Contact support" with no fix pathTicket flood
Essay definitionsSkim past, still broken
Retry advice that ignores idempotencyDouble charges

Users forgive overview fluff on the happy path. They do not forgive wrong fixes on the error path.

Error entry fact block (lock first)

For each code, fill from server source and a real log line:

FieldExample (your real values)
Codehumanize/quota_exceeded
HTTP status429
When it happensDaily word cap hit mid-request
Cause (one sentence)Account over daily limit
Fix (copy-paste)curl or SDK snippet that succeeds
Do notRetry without backoff / wrong key
Support?When to open ticket + required IDs

Prompt: "Build error table rows from this data only. Each row: code, status, cause, fix. No new codes."

Error docs vs API overview vs runbook

ArtifactReader stateSuccess test
Error code docBroken integrationFix works in 5 min
API overviewLearning productFirst 200 OK
RunbookOn-call engineerIncident resolved
ChangelogReturning integratorKnows what changed

Cross-link from API auth page to error table—see API docs guide for the auth + one working call baseline.

Row template integrators scan

ColumnHumanize?Notes
CodeNoExact string
StatusNoNumeric
CauseYesPlain language
FixLightKeep commands exact
Example responseNoFrom real server
RelatedLightLink other codes

Humanize cause paragraphs. Never humanize JSON keys or status numbers.

Before and after

AI error entry:

The unauthorized error indicates that authentication credentials provided with the request may be invalid or insufficient. Users should ensure they are following best practices for secure API access and verify their configuration meets our documentation standards.

After fact block + one humanize pass:

humanize/unauthorized — HTTP 401
Cause: Missing or wrong API key in the Authorization header.
Fix:

curl -sS -X POST "https://api.humanwrites.example/v1/humanize" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text":"test","purpose":"General"}'

Do not retry with the same rejected key—rotate in the dashboard first. If the key is correct and you still see 401, open a ticket with request id from the response body.

Second version has code, status, cause, and copy-paste fix.

Workflow

  1. Export codes from OpenAPI / proto / server enum—single source of truth.
  2. Pull three real support tickets per top code; extract fixes that worked.
  3. Build the table; no model until every fix was tested in staging.
  4. One ChatGPT pass for consistent row order if helpful; diff against export.
  5. One Human Writes pass on cause prose only.
  6. Link each error from the API auth page and from SDK exception docs.
  7. Changelog any new code the day it ships—pair with developer changelog.

For incident narrative after codes fire in production, see incident postmortems—different artifact, same rule: facts before polish.

What not to do

  • Publish codes the server never returns.
  • Humanize until curl flags or header names change.
  • Tell users to "retry aggressively" on non-idempotent POSTs.
  • Write essay intros before the fix table.
  • Paste production logs with customer keys into a consumer chatbot.

Bottom line

Error code docs win when integrators can grep the code and run the fix. Lock codes and copy-paste steps from engineering, humanize cause prose once, and keep JSON honest.

Paste stiff error copy on Human Writes after every command matches a curl that succeeded in staging—not from memory.