Private On-Device Lead & Note Triage Agent
The Problem Managing unstructured consultation notes and inbound client leads often takes hours of manual review. Relying on public cloud AI APIs to parse sensitive notes introduces data privacy risks, potential data l
The Problem
Managing unstructured consultation notes and inbound client leads often takes hours of manual review. Relying on public cloud AI APIs to parse sensitive notes introduces data privacy risks, potential data leakage, and recurring API costs.
The Solution
I built a private, local-first triage agent that automatically ingests raw meeting notes or audio transcripts, parses key metadata (client name, core requirements, budget, priority level), and outputs formatted JSON ready for immediate loggingβall while keeping sensitive data secure.
Architecture & Schemas
- Ingestion: Raw text prompt or consultation transcript.
- Processing Engine: Relevance AI node pipeline configured for schema-based extraction.
- Output: Structured JSON containing prioritized action items and client details.
Demonstration & Proof of Work
Watch the live demonstration of the triage workflow in action:
https://youtu.be/VB0aQ3cRUJU
Why On-Device AI Workflows Matter
Building local-first AI pipelines ensures complete ownership over data privacy, protecting confidential client information while eliminating ongoing cloud infrastructure fees.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.