· 4 min read
Fifty Tools Won't Save a Context-Starved Agent
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.
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
· 4 min read
Build a Custom Agent in Tamaton: Inbox Triage in 20 Minutes
A build log for one real Tamaton custom agent that triages the inbox, checks the calendar and docs, drafts replies, and files attachments — plus the three failure modes we fixed.
· 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
AI Agents Now Need Identity: Credentials for Non-Humans
AI agents aren't human users or dumb service accounts — they're a third identity class. Here's how to issue agent credentials and scope permissions before your inbox pays for it.
· 5 min read
How Tamaton Agents Finish Multi-Step Tasks Without Losing the Thread
A concrete walkthrough of building a Tamaton agent that triages inbox, drafts replies with real context, and books follow-ups — with a human holding the approval button.
· 5 min read
How Tamaton Evaluates Its Own Agents Before You Do
Inside the eval harness we run on inbox triage, doc drafting, and calendar scheduling — the golden sets, the scoring rubrics, and the failure modes we refuse to ship.
· 5 min read
How Tamaton's AI Reads Your Inbox So You Don't Have To
A concrete walkthrough of Tamaton's inbox triage agent: how 84 unread messages become a ranked queue with searches run, drafts written, and calendar holds already placed.
· 4 min read
Every Agent Gets Its Own Identity: How Tamaton Scopes Access
Shared API keys give bots the run of your whole workspace. Tamaton issues each agent its own identity with per-layer, per-resource permissions instead.
· 5 min read
How to Evaluate an AI Agent That Books Your Meetings
Task-completing agents can't be graded like chatbots. Here's an eval framework built around side effects, reversibility, and the cost of being wrong.
· 4 min read
Multi-Agent Systems Are Coordination Problems, Not Model Problems
The bottleneck for multi-agent setups isn't a smarter model — it's shared state, clean handoffs, and knowing who owns the calendar. Coordination is the real work.
· 5 min read
Custom Agents in Tamaton: Give an AI a Standing Order
Move past one-off prompts. Build a persistent Tamaton agent that watches your inbox, files, and calendar, then acts on a schedule with human checkpoints.
· 4 min read
Give Your Calendar an Agent, Not Another Assistant Bot
A scheduling bot books slots. A real AI calendar agent remembers, decides, and negotiates. Here's how to design the second one.
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