AI & RAG

Generate a collateral-backed deal brief on demand

Accepts a webhook with a prospect's industry and pain points, retrieves the most relevant Dropbox collateral.

CategoryAI & RAG
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook with prospect contextHTTP webhook
  • ActionBuild and embed retrieval queryOpenAI
  • ActionRetrieve matching collateral from PostgresPostgreSQLPostgres
  • ActionDraft deal brief with OpenAIOpenAI
  • LogicAttach Dropbox share linksDropboxDropbox
  • OutputReturn brief in webhook responseHTTP webhook

What it does

Turns deal context into a tailored brief. Given a prospect's industry, use case, and objections, it queries the collateral index for the best-matching case studies and one-pagers, then has OpenAI assemble a short brief that recommends which assets to send and the talking points behind them.

When to use it

Use it from a CRM button or call-prep tool when a rep wants a fast, on-message starting point for a specific opportunity, drawing only from approved collateral rather than improvising.

How it works

  1. 1A webhook delivers the prospect context payload.
  2. 2OpenAI turns the context into a retrieval query and embeds it.
  3. 3A retrieval step pulls the top matching collateral passages from Postgres.
  4. 4OpenAI drafts a deal brief: recommended assets, why each fits, and key talking points.
  5. 5A logic step attaches the live Dropbox share links for each recommended file.
  6. 6The brief is returned as the webhook response for the calling tool to display.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect DropboxFiles and folders.
  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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