Templates

AI Change Log Template (Prompt, Context, and Model Updates)

4 min read · Templates · Apr 2026

AI Change Log Template (Prompt, Context, and Model Updates)
Copy-paste change log — prompt, context, model, and tool rows with owners and rollback pins.

Copy-paste AI change log for prompt, context pack, model, and tool updates—with owner, eval evidence, and rollback registry pin.

Copy this change log into your wiki, registry repo, or ticket system. Complete a row before promoting any change to production traffic—not after a controller or customer reports drift. Silent upgrades destroy trust faster than model quality debates.

The template complements the prompt registry playbook and evaluation hooks. Pair it with the workflow eval checklist so every change cites eval evidence. Northline finance adopted this after support learned the hard way—see finance workflow case study.

When to log a change

Log a row when any of these change for a production workflow:

  • Prompt text, system instructions, or output schema
  • Context pack — KB corpus, policy PDF, retrieval tier, or extract hash
  • Model — provider, model ID, temperature, or max tokens
  • Tools — MCP server, API integration, or allow/deny matrix row

Do not log typo fixes in internal docs with zero production effect. Do log anything that could change customer-facing or controller-facing output.

Change log table (copy-paste)

Date Workflow ID Change type From → To Owner Eval evidence Rollback pin Approved by
YYYY-MM-DD support-reply-v3 Prompt v2.1 → v2.2 Process owner smoke 10/10 pass registry:v2.1 Risk forum
YYYY-MM-DD support-reply-v3 Context policy-2026-03 → 2026-04 Legal + IT pilot 25-case re-run context:2026-03 Process owner
YYYY-MM-DD finance-variance-v1 Model gpt-4o → gpt-4.1 IT smoke 10/10 pass model:gpt-4o-2026-03 Controller

Change type values: Prompt | Context | Model | Tool | Eval set

Rollback pin must be restorable in under thirty minutes—test quarterly per audit trails scale gate.

Required fields per change type

Prompt changes

  • Registry row ID and semver bump
  • Diff summary (what behavior should change)
  • Smoke eval link (minimum ten cases, one hundred percent pass)
  • Shadow traffic plan if pilot already live

Context pack changes

  • Corpus version ID or extract hash (before → after)
  • Legal or data owner sign-off for customer-safe tags
  • Re-run eval set ID and pass rate
  • Note retrieval tier if RAG workflow—see RAG in production

Model changes

  • Provider, model ID, parameter delta
  • Cost/latency note if sponsor cares—CLEAR Cost and Latency from evaluating agents with CLEAR
  • Regression eval on held-out set; no "same prompt, new model" without cases

Tool changes

  • MCP server or API endpoint (before → after)
  • Allow/deny matrix row updated per securing MCP and agent tools
  • Sanitization rule version if tool returns enter prompt

Sample entry (Northline support)

date: 2026-03-14
workflow_id: support-reply-v3
change_type: Context
from: policy_pack support-policy-2026-02
to: policy_pack support-policy-2026-03
owner: Legal (A. Chen) + Support ops (M. Ortiz)
eval_evidence: eval-set-support-v3-2026-03 — 25/25 pass
rollback_pin: registry:context/support-policy-2026-02
approved_by: Monthly risk forum vote 2026-03-12
notes: Refund window language updated; KB articles 12, 44 re-tagged customer-safe

Rollback drill (quarterly)

# Check Pass?
1 Rollback pin restores prior registry row in <30 min
2 Smoke eval passes on rolled-back pin
3 Audit sample shows correct version after rollback
4 Change log row marked ROLLED BACK with incident link

Anti-patterns

  • Slack-only announcements — not searchable, not audit-friendly
  • "Same as last month" — extract hashes drift; log anyway
  • Promote on demo quality — eval evidence column empty
  • Shared doc without owner — every row needs a named approver

Next step

Add this table to your registry repo README. Require a completed row in your release checklist before IT promotes staging to production. Governance cadence: AI risk review cadence.

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