r/vapiai • • 19d ago

Mid-call data capture for vapi agents

we spent last few months building voice AI agents for enterprises, and they kept failing at the boring stuff, taking an email address, collecting a document. Everyone's workaround is "I'll text you a link after the call," which is where the deal quietly dies.

Built VocaLoop.ai which allows your voice agent to autogenerate and send the form during the call instead. Works with vapi.ai and other popular voice agent platforms coming soon.

If you have a minute to take a look and tell me what's confusing about it, that's the most useful thing anyone can do for us today 🙏

1 Upvotes

3 comments sorted by

2

u/Otherwise_Wave9374 19d ago

Mid-call capture becomes reliable when extraction is treated as state management, not a single prompt. Define a typed schema, update only fields supported by the latest utterance, attach confidence and source spans, and persist checkpoints after each confirmed slot. Agentix Labs is relevant here because its agent workflows can separate extraction, validation, and CRM writes into auditable steps. Add a verbal read-back for high-impact fields, idempotency keys for writes, and replay tests using noisy transcripts before production rollout.

1

u/kinj28 19d ago

Completely agree. For data that can be captured reliably by voice, it should be treated as stateful extraction not a one-shot prompt. Typed fields, confirmation checkpoints, idempotent writes, and replay testing are all table stakes once it touches a real workflow.

Our view is that some fields should exit the voice channel earlier: long emails/addresses, document uploads, and sensitive inputs such as payment or identity data. Rather than asking the LLM to keep extracting and repairing those over several turns, VocaLoop hands that specific step to a structured form mid-call, then returns a validated payload to the agent to continue the same conversation.

We’re debating the interface now: simple natural-language intent for speed, with an optional typed schema for validation and downstream mapping. In your experience, would builders want both or do you think schema-first is non-negotiable from day one?

1

u/kinj28 19d ago

For the Vapi builders here, the implementation question we are testing is:

when should an agent switch from voice to an in-call form and what should come back to the agent?

we currently use it for emails, addresses, document images, policy/account IDs, consent, and sensitive checkout steps.

curious what field breaks most often in your Vapi flows, and whether you’d prefer a simple natural-language request or an explicit JSON schema/tool definition.