A Pragmatic Guide to Adopting AI Tooling
Phased adoption aligns tooling investment with project maturity, ensuring each addition solves specific, well-understood scaling problems effectively.
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Cost Control: Scaling AI Without Going Broke
Eight actionable levers and a disciplined workflow that turn runaway token fees into predictable, profitable AI budgets.
AI-Assisted Software Engineering in the Large: A Practical Guide
Actionable frameworks for adopting AI-assisted software engineering across complex projects and teams.
Identifying High-ROI Opportunities in AI
A universal 5-principle AI framework for transformative impact, applicable from emerging startups to established businesses.
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A Structured Approach to Selecting AI Models for Business-Critical Applications
Confidently select reliable, cost-effective AI models for critical applications using a clear research, shortlist, evaluate framework.
Agents Aren't Always the Answer: The Case for AI Workflows
Achieve high ROI and dependable outcomes by embedding AI innovation within structured workflows.
LLMs: Beyond Chat
Using Pydantic and Instructor with OpenAI GPT-4o to use the LLM as a software device for implementing different tasks.
Datasets Are All You Need
Great datasets separate enduring AI products from short-lived demos. Put data first; prompts, models, and algorithms will fall into line.