AI Automation vs Manual Work: Where the Handoff Should Actually Move
Where the AI-to-human handoff should actually sit in a workflow, using refund and return approval as the worked example.
Practical writing on AI systems, agents, automation, and lessons from building.
Where the AI-to-human handoff should actually sit in a workflow, using refund and return approval as the worked example.
A criteria-based comparison of Wix, Squarespace, Shopify, 10Web, and Durable for small business owners who want to sell online with AI.
HITL is not a single AI project setting. It is a per-step placement decision based on reversibility, liability, and model confidence.
A designed teardown of the coordination layer under Greek bookkeeping: inbox invoices, classification, myDATA transmission, rejections, and the accountant who still signs. A model, not a client build.
A designed teardown of the coordination layer under CE marking: product intake, requirement mapping, evidence gap analysis, test coordination, technical file generation, and the engineer who signs. A model from the lab, not a client build.
A designed teardown of the coordination layer under freight forwarding: structured intake, carrier rate aggregation, customs documents, booking, and human exception handling. A model from the lab, not a client build.
A designed teardown of the coordination layer under property due diligence: property identification, registry retrieval, document extraction, risk assembly, and professional review. A model from the lab, not a client build.
A designed teardown of the coordination layer under public procurement: tender discovery, qualification against capability, requirement extraction, bid assembly, and deadline tracking. A model from the lab, not a client build.
A designed teardown of the coordination layer under elevator compliance: asset registration, obligation discovery, a compliance calendar, contractor coordination, and certificate storage. A model from the lab, not a client build.
A first-hand teardown of the scheduled research system that runs my own SEO and AI-visibility work: three weekly agents, a pre-spend budget gate, an idempotency guard that refuses to pay twice, and an eight-code exit taxonomy that tells a human what actually happened.