Blog
Practical writing on productivity, AI, and building software.
A hands-on guide to building a custom Tamaton agent whose memory is your actual workspace — mail, docs, files, and calendar — so triage decisions compound instead of resetting every session.
A functional definition of AI agents — systems that decide at runtime which tools to call — plus an honest map of which agent claims are real today and which are still vaporware.
Agents don't click, they parse. Here's how to name, thread, permission and store your work so AI agents in the workplace can actually use it.
Integration count is a vanity metric. What determines whether an agent is useful is whether it can assemble the right context — inbox, calendar, docs, files — in one retrieval pass.
Most "agents" in production aren't code — they're SaaS workflows running on a human's inherited permissions. Here's why that's a governance gap, and how to close it.
Public benchmarks won't tell you which model can triage your email. Here's how to build a small, honest eval set from your own inbox, docs and sheets — and what ours revealed.
Agents aren't magic buttons. Give them a scoped role, a 30-day ramp, real feedback loops, and review cycles — the same things you'd give a competent new teammate.
The bottleneck in production agent systems isn't autonomy — it's the escalation contract. Here's how to design triggers, handoff packages, and ownership rules that actually hold.
A practical test kit for knowledge workers: perturb the premises, audit the citation chain, and check whether the answer moves for the right reasons.
An analysis of 880,000+ texts found model-assisted writing converges on one style while meaning survives. Here's how to keep your voice with grounding, retrieval and better evals.
Most RAG setups fail because they staple a vector store to a chatbot. Real retrieval needs hybrid search, freshness, permissions-aware filtering, and honest evaluation.
Multi-agent systems don't fail loudly — they agree quietly and confidently. Here's why agentic workflows drift into false consensus, and how to design dissent back in.
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