Collaboration between Eleanor Berger and Hadi Khan shows law firms and AI engineers share a generational opportunity to reshape service delivery economics.

Context engineering reframes building with AI from creative guessing to systematic software practice.

Phased adoption aligns tooling investment with project maturity, ensuring each addition solves specific, well-understood scaling problems effectively.

Eight actionable levers and a disciplined workflow that turn runaway token fees into predictable, profitable AI budgets.

Actionable frameworks for adopting AI-assisted software engineering across complex projects and teams.

A universal 5-principle AI framework for transformative impact, applicable from emerging startups to established businesses.

Great datasets separate enduring AI products from short-lived demos. Put data first; prompts, models, and algorithms will fall into line.

Frameworks won’t save you — focus on what only you can build.

Achieve high ROI and dependable outcomes by embedding AI innovation within structured workflows.

Confidently select reliable, cost-effective AI models for critical applications using a clear research, shortlist, evaluate framework.

A very brief introduction to language and models and prompting