· 5 min read
Giving AI Agents a Wallet: What Machine Payments Mean
Agent identity and payment rails are shipping for real. Here's what actually changes when your agent can pay for things without you in the loop.
Blog
From the Tamaton team
Practical writing on productivity, AI, and building software.
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· 5 min read
Fine-Tune, Edit, or Steer? Adapting LLMs Without a Retrain
Fine-tuning, knowledge editing, and activation steering solve different problems at wildly different costs. Here's how to pick the right one — and what breaks when you don't.
· 4 min read
How to Evaluate an AI Assistant Before You Trust Your Inbox
Stop judging AI assistants on vibes. Build a 50-item golden set from your own work and score them on retrieval, refusals, and cost per resolved task.
· 5 min read
Agent Strategy Decks Are Everywhere. Working Agents Aren't.
Every vendor shipped a 2026 AI agent strategy framework this quarter. The agents that survive real work share three unglamorous traits — and break in predictable ways without them.
· 5 min read
Your Inbox Is a Retrieval Problem, Not a Sorting Problem
Folders and filters were a workaround for bad search. In an AI-native stack, your inbox is a messy index — and treating it that way changes triage, search, and follow-up.
· 4 min read
Confident, Wrong, and in Your Spreadsheet
A hallucinated sentence is awkward. A hallucinated formula is expensive. Here's a taxonomy of where generative AI fails in structured work — and the guardrails that catch each type.
· 5 min read
LLMs as Research Instruments: What the Skeptics Get Right
Public policy researchers are arguing about whether LLM-assisted coding counts as method. Their objections — bias, reproducibility, opaque provenance — apply to your Tuesday afternoon analysis too.
· 5 min read
Bound the Blast Radius: Scoping Custom Agents in Tamaton
An agent with access to every email, doc, and file is a liability until you scope it. Here's how to define, test, and audit custom agent permissions in Tamaton.
· 4 min read
Give Your Agents an Identity, Not a Borrowed Password
Shared service accounts and copied human credentials make AI agents untraceable and over-privileged. Here's what agent-native identity looks like in a real productivity stack.
· 4 min read
How to Actually Evaluate an LLM Feature Before You Ship It
A practical eval playbook — golden sets, LLM-as-judge with guardrails, and regression tracking — for teams shipping AI, not writing papers.
· 5 min read
The GenAI Paradox: Faster Output, Weaker Recall
New research suggests generative AI speeds work up while quietly reducing what people actually learn. Here's how to restructure AI-assisted work so speed doesn't cost you understanding.
· 5 min read
Package Hallucinations and Other Ways Agents Invent Reality
A field guide to grounding failures — fabricated npm packages, invented spreadsheet columns, phantom calendar events — and the design patterns that catch them before they ship.
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