SDLC vs AI-DLC: why technology leaders are switching
A working guide to AI-DLC for CTOs and VPs of Engineering - what changes at each stage, what it returns, what goes wrong, and how to explain it to your board.
Playbooks
Reference guides that stay current. Each one carries a version and a "last reviewed" date, and changes when the practice changes.
Agentic AI reference architecture for enterprise
A six-layer reference architecture for enterprise AI agents - work definition, orchestration, tools, memory, guardrails, operations - with steps and checklists.
How to evaluate an agentic AI vendor
Seven steps to evaluate an agentic AI vendor before you sign - refusals, evaluation set, traces, cost per run, compliance, ownership, pilot. With a checklist.
How to make your business agent-ready
Eight steps that let AI agents find, buy from and get help from your business as customers, with a scorecard, disqualifiers and a checklist for this quarter.
Agent harness playbook: let the model choose, not act
How to add a decision layer to an agent harness without handing the model authority. Eight steps for a CoE or R&D team, the risks, the compliance checks, a lab.
How to scope a forward deployed engineering engagement
Eight contract steps for a forward deployed engineering engagement - outcome, access, ownership, shadow, platform, checks, price and exit. With a checklist.