· 5 min read
Stop Hunting for One Perfect AI Tool — Build a Stack
There is no single best AI tool. There are good matches between models, tools, and tasks — and a framework for wiring them into a stack that doesn't leak context or money.
All#ai#ai-agents#ai-productivity#applied-ai#automation#calendar#context-switching#deep-work#documents#email#engineering#engineering-leadership#invisible-ai#knowledge-work#llm-evaluation#product-updates#productivity#prompt-engineering#remote-work#search#security#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 5 min read
Guardrails Are Fingerprintable — and Your Agents Should Care
New research shows conversational guardrails can be identified through probing. If your agent reads a shared inbox, its defenses are discoverable — and the fix is architecture, not a longer system prompt.
· 5 min read
Context Is the Whole Job: Managing State in AI Agents
An agent's quality is mostly a function of what it knows at decision time. Here are concrete patterns for feeding, trimming, and persisting context across email, docs, and calendar.
· 5 min read
Agents Don't Fail at Reasoning. They Fail at Hour Three.
Long-running AI agents rarely collapse because they can't think. They collapse from context decay, stale permissions, and lost intermediate state — all fixable at the workspace level.
· 4 min read
Most 'AI Agent Use Cases' Are Cron Jobs With Anxiety
A practical test for when to use an AI agent versus a plain script in an LLM costume. Three questions decide it: ambiguity, branching, and recoverable failure.
· 4 min read
Your Model Didn't Get Dumber. Its Post-Training Changed.
Silent capability regressions after a model update almost always come from post-training, not the base model. Here's how to build a regression eval suite in a day.
· 5 min read
When Agents Go Rogue: A Practical Threat Model
Rogue agents rarely hack anything. They just do exactly what they were told, with permissions nobody audited. Here's a concrete threat model and containment patterns.
· 5 min read
The Productivity Paradox: When AI Doubles Your Workload
AI rollouts often add work instead of removing it. Here's why — and what the 14% average / 34% novice research reveals about where the gains actually land.
· 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.
· 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.
Get started
Reserve your @tamaton.ai email
Claim your address before someone else does — free to start, with an AI-native inbox built in.