AI Product & Systems Consultation

Building an AI-native product, agentic workflow, internal AI tool, or LLM-powered feature?

This session is for founders, engineers, and product teams looking for practical guidance around AI systems, workflows, architecture, and execution.

Best suited for

→ AI product architecture

→ Agentic workflows and tool orchestration

→ Context, memory, and workflow design

→ Practical RAG decisions and tradeoffs

→ AI UX and product design

→ Reliability and execution systems

→ Infra, latency, and scaling considerations

→ Developer tooling and AI-assisted workflows

My background

I work across AI-powered products, backend systems, distributed architecture, developer tooling, and product leadership in startup environments.

My approach is practical and execution-focused, shaped by building and operating real systems rather than purely theoretical AI discussions.

What you can expect

✓ Architecture and systems thinking

✓ Practical technical/product direction

✓ Workflow and execution feedback

✓ Tradeoff analysis and decision clarity

✓ Actionable recommendations and next steps

What this is not

✗ Live coding or pair programming

✗ Debugging/support sessions

✗ “Teach me AI from scratch” sessions

✗ Theoretical ML research discussions

✗ Outsourced engineering work

The goal is to help you build more practical, reliable, and well-thought-out AI systems and products.