SALES

Generate an objection-handling Loom script from demo notes after stage change

When a HubSpot deal advances past demo, an agent reads the demo notes, identifies the buyer's specific objections, drafts a tailored Loom talking-points script.

CategorySales
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHubSpot deal advances past demo stageHubSpotHubSpot
  • ActionFetch deal, notes, and transcriptHubSpotHubSpot
  • ActionAgent extracts objections and drafts Loom scriptOpenAI
  • LogicRoute standard recap vs objection-handling path
  • ActionCreate Loom seeded with agent scriptLoomLoom
  • OutputEmail video to buyer and log script to dealGmailGmail

What it does

This agent-driven workflow does the thinking before the rep hits record. When a deal advances past the demo stage in HubSpot, an AI agent reads the demo notes and call transcript, isolates the buyer's actual objections and buying signals, and writes a tailored Loom script that addresses each concern in order — so the follow-up video directly answers what's blocking the deal.

When to use it

Use it when reps record generic recaps that ignore the real friction surfaced in the demo. This ensures every follow-up Loom is built around the specific objections that matter to that buyer.

How it works

  1. 1A HubSpot deal stage change past demo fires the trigger.
  2. 2The flow fetches the deal, contact, demo notes, and any transcript from HubSpot.
  3. 3An agent analyzes the notes to extract objections, priorities, and a recommended framing.
  4. 4A logic step routes deals with no clear objections to a standard recap path versus a custom objection-handling path.
  5. 5It creates a Loom recording seeded with the agent's script, then Gmail sends the buyer the finished video and logs the script to the deal.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HubSpotCRM, deals, marketing, support.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LoomVideo transcripts, libraries.
  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.

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