CHATBOTS
Conversational Voice Intake with Missing-Field Follow-Up
An agent transcribes a field voice note, checks the extracted entry against required fields, asks the worker follow-up questions for anything missing.
How it runs
The automated pipeline, trigger to output.
- TriggerWorker sends voice note in chat
- ActionTranscribe audio to textElevenLabs
- ActionExtract and validate required fieldsOpenAI
- LogicAll mandatory fields present?
- ActionAsk follow-up questions until complete
- OutputCreate validated Airtable record and confirmAirtable
What it does
This is an agent-driven intake that won't file an incomplete report. It transcribes the worker's voice note, extracts the required fields, and if anything mandatory is missing or ambiguous it replies with targeted follow-up questions in chat. Once the worker answers, the agent reconciles everything and writes a complete record to Airtable.
When to use it
Use this when report quality matters and partial submissions cause downstream pain — compliance logs, asset audits, or any intake where a missing serial number or location is unacceptable. The conversational loop guarantees clean records.
How it works
- 1A worker sends a voice note into the chat interface, starting the conversation.
- 2ElevenLabs transcribes the audio.
- 3The agent extracts required fields and validates them against the report schema.
- 4A branch checks whether all mandatory fields are present and unambiguous.
- 5If gaps remain, the agent asks targeted follow-up questions and waits for replies, looping until complete.
- 6Airtable creates the finished, validated record and the agent confirms with the row link.
Set it up
What you configure once, before turning it on.
- 1Connect ElevenLabsText-to-speech, voice cloning.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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