How Talos AI Ships an AI Service in 30 Days

Week 1: Problem validation

Before we write a single prompt, we validate the business case. Is this a real problem people pay to solve? Is the current solution manual, slow, or expensive?

Week 2: Pipeline architecture

We design the end-to-end pipeline on paper. Every step, tool, validation checkpoint. We use n8n as the orchestration layer with webhook triggers that Claude can call as tools.

Week 3: Build and test

Build in n8n, write the prompt corpus, test against real data. Focus on edge cases and failure modes, not happy paths.

Week 4: QC, pricing, launch

The QC layer is a dedicated Claude call evaluating output against criteria. Pricing is based on value delivered, not API costs. Launch means the pipeline is live and accepting real client work.