· 4 min read
Automating Inbox Triage With Agents: What Actually Works
A field-tested breakdown of which inbox tasks AI agents handle reliably today, and where human review still isn't optional.
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#search#security#spreadsheets#startups#storage#tamaton#unified-workspace#workflow#workflows
· 5 min read
AI Agent Identity: Why Your Bot Needs Its Own Credentials
Borrowing a human's login is a security disaster waiting to happen. Here's why AI agents deserve their own scoped, revocable, auditable identities.
· 4 min read
Give Your Agent a Login: Custom Agents in Tamaton
A concrete walkthrough of building a scoped Tamaton agent that triages your inbox, drafts replies, and files documents — with its own identity and permissions.
· 4 min read
How to Evaluate an AI Agent Before You Let It Touch Your Inbox
A practical evaluation framework — task success, tool-call accuracy, hallucination rate, and recoverability — for deciding whether an agent is safe near your email and calendar.
· 4 min read
Shell Injection in AI Coding Agents: A Defense Playbook
Autonomous coding agents run commands you didn't write. Here's how to sandbox them like the untrusted executors they are — instead of trusting model alignment.
· 4 min read
Does Your AI Tool Leak IP? A Data-Flow Audit Guide
A practical framework for tracing exactly what leaves your environment when AI touches your documents, code, and email — before it becomes someone else's training data.
· 4 min read
Real-Time Guardrails Beat Better Models for Code Quality
The Sonnet 4.6 guardrail results suggest output validation, not raw model choice, is the highest-leverage lever for reliable AI code.
· 4 min read
Zero-Trust for AI Agents: Scoping Permissions in Your Stack
Treat every agent action as untrusted by default. Here's how to build permission boundaries around inbox, files, and calendar instead of handing out blanket access.
· 4 min read
The Inbox Is the Real Agent Benchmark
Email is the hardest test for an AI agent: ambiguous intent, irreversible actions, and real trust. Here's why most demos quietly avoid it.
· 4 min read
How to Evaluate an Agent That Edits Your Spreadsheet
Spreadsheet edits demand cell-level, deterministic evaluation — accuracy, reversibility, and formula integrity — not vibes-based scoring.
· 4 min read
Why AI Agents Aren't Coworkers — and Why That Matters
Calling AI agents 'digital employees' quietly erodes human accountability. Treat them as orchestrated, audited tools instead — here's how and why.
· 4 min read
Are You Leaking IP Through Your AI Tools?
A concrete audit of where your prompts, files, and context actually travel across AI assistants — and the data boundaries every enterprise should demand.
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