Articles
News
Industry updates, product releases, and short notes—sorted by time.
Q1 glance: models sprint, products chase execution
Public signals on cadence, enterprise buying, open weights, and information overload (not investment advice).
Don’t stop at leaderboards: three practical questions
Task shape, context window, and failure cost matter more than “strongest model” bragging.
Writing with AI: delegate vs own
Outlines, tone variants, and fact‑checking—how to split work so it still sounds human.
Text‑to‑image prompts: a cheat sheet for most jobs
Subject, style, light, lens, and negatives—structured beats adjective spam.
Multimodal models: a quick weekly lens (sample)
Image, speech, and video understanding are reshaping creative and automation workflows.
Privacy hygiene with everyday AI: a ten‑item checklist
Redaction, account separation, and API keys—readable even if you’re not engineering staff.
Five habits for coding with AI: faster and safer
Branching, tests, sensitive files, dependency bumps, and human review—practical for solo devs and small teams.
RAG 101: skip the vector DB drama until three basics hold
Chunking, provenance, and evaluation matter more than which embedding you pick first.
Running an AI directory: do you need detail pages?
When a full tool page pays off vs when a tight list is enough—from the reader’s view.
Agents and skill packs: from “chatty” to “uses your tools”
How runtimes like OpenClaw wire CLIs/APIs via Skills—and why you should read SKILL.md carefully.
Local vs cloud models: choose by scenario
Privacy, cost, latency, and capability—quick rules for when to run weights on-device.
Multimodal workflow: from a single image to a reviewable pipeline
How to split image/text/audio work, keep intermediates, and debug or revise cleanly.
Save context in long chats: five practical habits
From “conclusion first” to chunk summaries—fewer repeats, fewer wasted tokens, steadier threads.