AI & RAG

Real-Time Objection Answer API Grounded in Battlecards

Exposes a webhook that takes a competitor objection from any tool, retrieves matching win-loss evidence and battlecard rebuttals, and returns a grounded, cited rebuttal as JSON.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerTool POSTs objection to webhookHTTP webhook
  • ActionEmbed and match against win-loss notesPostgreSQLPostgres
  • ActionPull approved rebuttals from battlecardNotionNotion
  • ActionCompose grounded rebuttalOpenAI
  • OutputReturn cited rebuttal as JSONHTTP webhook

What it does

It provides an HTTP endpoint that any internal tool — a Chrome extension, a CRM widget, a dialer — can call with a raw objection string. The workflow retrieves the closest win-loss evidence and approved rebuttals, then returns a structured, cited rebuttal the calling tool can render inline.

When to use it

Use it when you want battlecard intelligence embedded directly inside the tools reps already live in, rather than a separate chat surface. Good for teams building lightweight UI on top of a shared knowledge base.

How it works

  1. 1A tool POSTs an objection and competitor to the webhook.
  2. 2The objection is embedded and matched against win-loss notes in Postgres.
  3. 3Approved rebuttal snippets are pulled from the Notion battlecard for that competitor.
  4. 4An LLM composes a grounded rebuttal constrained to retrieved sources.
  5. 5The endpoint returns JSON with the rebuttal text and source citations.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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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