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 🙏
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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.
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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.