· 5 min read
Your Inbox Is an API Now: Designing Work for Agent Readers
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.
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
Your Inbox Is an Eval Set: Testing AI on Real Work
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.
· 5 min read
Onboarding an AI Agent Like a New Hire: A Practical Playbook
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.
· 5 min read
AI Agents Don't Fail at Work. They Fail at Handoffs.
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.
· 5 min read
How to Tell If Your LLM Is Reasoning or Just Guessing
A practical test kit for knowledge workers: perturb the premises, audit the citation chain, and check whether the answer moves for the right reasons.
· 5 min read
LLMs Are Flattening How Everyone Writes. Fix Your Prompts
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.
· 5 min read
Prompt Injection Lives in Your Attachments, Not Your Chat
The real attack surface for AI agents isn't a clever chat jailbreak — it's the forwarded email, shared sheet, or PDF your agent reads with your permissions.
· 5 min read
How Tamaton's Search Reads Your Files Before You Ask
A concrete look at building RAG over your own email, docs, and drive — and why retrieval quality, not model size, decides whether AI knowledge work is actually useful.
· 5 min read
The Inbox Is the Real Agent Benchmark
Coding demos are graded by a test suite. Email is graded by your boss, your customer, and your calendar. Here's why the inbox is the hardest honest test of an AI agent.
· 5 min read
Reason, Plan, Act — Then What? Evaluating Agents That Do Work
Reasoning and planning demos are easy. Proving a multi-step agent actually finished the job — correctly, safely, once — is the unsolved part. Here's how to measure it.
· 5 min read
Stop Calling It an Agent: A Working Taxonomy for 2026
"Agent" now means everything from a system prompt to a six-hour autonomous process. Here's a five-tier taxonomy based on autonomy, state, and blast radius — and why most agents on sale are tier one.
· 5 min read
Fine-Tuning vs. In-Context Learning: When to Bother
Most teams reach for fine-tuning when a decent retrieval pipeline and a tight prompt would have been cheaper, faster, and far easier to change tomorrow. Here's how to tell the difference.
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