AI & RAG

Grade Coda page impact when source of truth changes

When the canonical source data changes in Postgres, finds the Coda wiki pages most semantically related and grades how badly each now contradicts the new truth.

CategoryAI & RAG
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSource-of-truth record changes in PostgresPostgreSQLPostgres
  • ActionEmbed changed record with OpenAIOpenAI
  • ActionRetrieve top related Coda pagesCodaCoda
  • LogicGrade contradiction; keep above threshold
  • ActionFlag affected pages in CodaCodaCoda
  • OutputEmail contradiction digest to doc ownerGmailGmail

What it does

Inverts the usual freshness check: instead of waiting for pages to age, it reacts the moment the source of truth itself changes. When a tracked record updates, the flow embeds the change, retrieves the most related wiki pages, and grades each on how strongly it now conflicts with reality, surfacing the docs a single data change just invalidated.

When to use it

Use it when a product spec, pricing table, or policy record changes and you need to know immediately which wiki pages went out of date because of it, rather than discovering it during the next audit.

How it works

  1. 1A Postgres change event (insert/update on the source table) triggers the run.
  2. 2The changed record is embedded with OpenAI.
  3. 3A retrieval step finds the top-K most similar Coda pages from the page embedding index.
  4. 4Each candidate page is graded for contradiction against the new record.
  5. 5A branch keeps only pages above the conflict threshold.
  6. 6Affected pages get a contradiction flag written to Coda and a digest is sent to the doc owner via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect CodaDocs, packs, automations.
  4. 4
    Connect GmailRead, draft, send, label.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.