AI automation for real work
AI workflow guides for choosing tools, review steps, and handoffs.
When inputs, review points, and handoffs are vague, automation stalls before it reaches daily work.
Library
A practical read of google/agents-cli as an agent lifecycle tool: scaffold, ADK code, eval data, deployment, logs, and the checks I would require before using it.
Fable 5's return, Sonnet 5's arrival, and Claude Science together show Anthropic repositioning Claude across daily work, frontier reasoning, and scientific research.
Bank of England warnings about agentic AI are not only a market story. The harder question is what happens when many AI systems move money in the same direction at once.
AI data centers are no longer a distant infrastructure story. The real question is how power demand, grid upgrades, and utility bills get allocated.
OpenAI's GPT-5.6 Sol, Terra, and Luna preview shows why teams should plan around model access, security review, and fallback routes.
A practical memo for choosing one paid AI subscription across ChatGPT, Claude, Gemini, Perplexity, and Copilot by work location, review effort, and handoff.
Paths by job
What to clarify first
When inputs, review points, and handoffs are vague, automation stalls before it reaches daily work.
Each guide starts from the work itself: the incoming material, the review point, the failure case, and the next handoff. The tool choice comes after that.