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So Studio Flow Mapper

A companion lab prototype focused on mapping qualitative research operations from transcript ingestion through normalization, synthesis, and evidence checks.

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So Studio flow mapping with UI panels and pipeline stages — Pipeline view from ingestion to grounded recommendation output.

Stack

Swift · Node.js · OpenAI API · Whisper

Key Decision

Separate pipeline observability from authoring so researchers can inspect where evidence quality drops before final synthesis.

Outcome

Improved trust in the analysis pipeline by making each stage visible and easier to troubleshoot.

Proof System

Schema validation at each stage boundary plus deterministic checkpointing for repeatable runs.

So Studio Platform

So Studio Platform (Swift, Node.js, OpenAI API, Whisper).
Created an MCP-compatible tool interface for integration with external agent frameworks.
Built an end-to-end, production-connected AI system that automates content generation and deployment from voice input.
Engineered a multi-stage pipeline (audio -> transcription -> LLM -> validation -> publishing) using OpenAI Whisper.
Implemented an automated CI/CD pipeline where AI-generated content is version-controlled and deployed to production via GitHub -> Vercel integration.
Implemented authentication-gated tool access, restricting admin capabilities to authorized users.