I build small AI workflow prototypes where the model is one component in a traceable system: input capture, prompt/model step, validation, fallback route, and operator-readable output.

Best fit:

OpenAI or Claude workflow proof before a larger build

n8n, Make, or Zapier flow that needs reliability checks

transcript, form, email, or webhook input that needs structured output

automation that needs review gates instead of blind publishing

Deliverable:

workflow map

input/output schema

first working path or implementation plan

validation and fallback rules

handoff notes and next-slice backlog

Public proof: AI Workflow Reliability shows the operating shape, and PackBridge shows the same reliability habits around API/webhook handoffs, persistence, and audit trails.

I use Claude and Copilot for parts of my workflow. All code and deliverables go through me before they reach you.