AI & RAG

Re-Validate Past Answers When a Policy Page Changes

Detects edits to a Notion compliance page, finds every prior answer that cited it, re-checks whether those answers still hold under the new text.

CategoryAI & RAG
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPolicy page edited in NotionNotionNotion
  • ActionQuery Supabase log for answers citing the changed pageSupabaseSupabase
  • ActionRe-evaluate each answer against new text with OpenAIOpenAI
  • LogicGather answers now conflicting or unsupported
  • OutputOpen Linear issue listing impacted answersLinearLinear

What it does

Closes the loop when policies change. When an approved policy page is edited in Notion, it finds every past answer that cited that page, re-evaluates each against the updated wording, and surfaces the answers that may now be stale or contradicted. This stops old guidance from quietly going out of date.

When to use it

Use it whenever your compliance corpus is living rather than fully frozen, or at the moment a review cycle publishes changes. It catches the dangerous case where an answer was correct yesterday and wrong today.

How it works

  1. 1A change to a policy page in Notion triggers the flow.
  2. 2The flow queries the Supabase answer log for prior answers that cited the changed page.
  3. 3OpenAI compares each affected answer against the new page text and judges whether it still holds.
  4. 4A logic step gathers answers that now conflict or lost their supporting passage.
  5. 5A Linear issue is created listing the impacted answers for Compliance to re-issue or retract.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect SupabaseTables, auth, storage, edge functions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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