SUMMARIZATION

On thread resolution, log a structured FAQ entry to Postgres

When a support thread is marked resolved in Discord, summarizes it into a structured FAQ record (question, answer, tags.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDiscord thread marked resolvedDiscordDiscord
  • ActionRead full thread transcriptDiscordDiscord
  • ActionExtract normalized Q/A, tags, and confidenceOpenAI
  • LogicSkip if confidence below threshold
  • OutputUpsert FAQ record into Postgres knowledge basePostgreSQLPostgres

What it does

The moment a Discord support thread closes or gets a resolved tag, this workflow captures the exchange while it is fresh and writes a normalized FAQ row to your Postgres knowledge base. The result is a queryable, deduplicated table of solved problems rather than a sea of chat history.

When to use it

When you want your support knowledge in a database you control so it can power on-site search, a help widget, or reporting on which issues recur most. Event-driven capture means nothing is lost between scheduled runs.

How it works

  1. 1The trigger fires on a Discord thread being resolved (close or resolved tag/reaction).
  2. 2The flow reads the full thread transcript.
  3. 3OpenAI extracts a normalized question, a self-contained answer, topic tags, and a confidence score.
  4. 4A logic step checks confidence and skips low-quality or off-topic threads.
  5. 5The structured record is upserted into the Postgres FAQ table, keyed so re-resolved threads update instead of duplicate.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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