· 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.
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
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.
· 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
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
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.
· 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
Memory Is Not a Feature, It's a Retrieval Problem
Assistants don't fail at memory because models forget. They fail because memory gets stored as a text blob instead of a governed store with recency, decay, provenance and conflict rules.
· 4 min read
The Spreadsheet Is the Best Eval Harness You Already Own
You don't need an ML platform to measure AI quality. A well-structured sheet turns vibes-based prompting into something you can actually score and improve.
· 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
Agent Identity in Tamaton: Every Bot Gets Its Own Keys
Shared service accounts make agent activity untraceable. Here's how scoped per-agent identities, capability grants, and audit trails fix that.
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