AI & RAG

Weekly audit of stale battlecards and unanswered rep questions

On a weekly schedule, an agent reviews Dropbox battlecard recency against the Postgres log of unanswered rep questions.

CategoryAI & RAG
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires the audit
  • ActionList Dropbox battlecards with last-modified datesDropboxDropbox
  • ActionQuery Postgres for question volume and unanswered topicsPostgreSQLPostgres
  • LogicRank by staleness, demand, and answer-failure rate
  • ActionWrite prioritized digest via OpenAIOpenAI
  • OutputPost freshness-and-gaps digest to FrontFront

What it does

Produces a weekly enablement health report. An agent cross-references how recently each Dropbox battlecard was updated with the topics reps actually asked about (including the ones the RAG couldn't answer), and delivers a ranked digest of which content is stale, which is missing, and which is heavily used and worth keeping current.

When to use it

Use it when you own a sales content library and need a recurring, evidence-based view of what to update or create next, rather than guessing. It turns scattered usage signals into a single Monday-morning action list.

How it works

  1. 1A weekly schedule triggers the agent run.
  2. 2The agent lists Dropbox battlecard files with their last-modified dates.
  3. 3It queries Postgres for question volume per topic and the logged unanswered questions from the past week.
  4. 4Reasoning logic ranks items by staleness, demand, and answer-failure rate.
  5. 5OpenAI writes a concise prioritized digest with specific recommendations.
  6. 6The digest is posted to the enablement team's Front inbox.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect FrontShared inbox, conversations.
  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.

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