Day: January 11, 2026
AI and Creativity: Tools, Taste, and Craft — What the Evidence Says and Practical Steps for Creators
This evidence-based overview examines how AI and creativity are changing creative work, taste, and craft. It summarizes observable signals, reported benefits and limits, documented risks (legal, economic, cultural), how different groups are affected, and practical guidance creators and organizations can use now.
Self-hosting LLMs: A Practical Guide to Evaluation, Trade-offs, and Deployment
A practical, evidence-based guide to evaluating self-hosting LLMs: who benefits, what capabilities to expect, hardware and cost considerations, security and compliance trade-offs, common pitfalls, and realistic alternatives backed by official docs and third-party benchmarks.
How to Monetize Data with AI: Practical Business Models, Costs, and a 6‑Month Execution Plan
A practical, evidence‑based guide for product managers, data leaders, and founders who want to monetize data with AI. Covers realistic business models, step‑by‑step execution, tooling and pricing ranges, compliance checkpoints, risks, and metrics to measure ROI. Includes citations to vendor pricing and regulatory guidance so you can build a defensible plan.
AI Writing Systems: From Draft to Publish — Reliable Prompt Engineering & Production Workflows
A practical guide to building repeatable, auditable AI writing systems that take content from draft to publish. Covers core principles, recommended prompt structure, a step-by-step production workflow, and rigorous quality-control techniques including evaluation, monitoring, and common failure modes.