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Case 04 · upwork · 5.0 stars
A chatbot that captures clean, structured data — not messy conversations.
Most chatbots collect conversation; this one collects data. We built a conversational intake flow that asks until it has every required field, validates each answer against the schema, and structures the result before it ever touches a database. Duplicate detection blocks the same record from being created twice — even when users restart mid-flow. Clean, validated records are routed straight into the client's reporting stack, so dashboards reflect reality instead of typos and partial entries. The client rated the engagement 5.0 stars.
What we built
- Conversational intake with per-field validation and forced completeness
- Structured-output enforcement (schema-constrained LLM responses)
- Duplicate-record blocking across sessions and restarts
- Clean routing of validated data into the client's reporting system
Structured
every captured record
Blocked
duplicate entries
5.0★
Upwork rating
Stack
n8nClaude/OpenAIStructured Outputs
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