· 4 min read
Stop Vibe-Checking Your AI: Build a 50-Case Eval Set
Public benchmarks won't tell you if a model can triage your inbox or reconcile your spreadsheet. Here's how to build a private, brutally specific eval set in an afternoon.
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
Chatbot vs. Agent: The Line That Actually Matters
A chatbot returns a response. An agent decides and executes a sequence. Confusing the two is why so many 'agentic' rollouts quietly stall out.
· 5 min read
One Model to Rule Them All Is a Bad Default
Picking a single LLM for every task leaves capability and money on the table. Route by task instead: cheap triage, strong drafting, dedicated verification.
· 5 min read
When to Trust an LLM: Lessons from Radiologists Who Don't Get Fooled
Medical research on why some experts resist bad AI advice — and how to turn those findings into a practical framework for judging LLM reliability in your own work.
· 5 min read
Your Inbox Is the Best RAG Corpus You Already Own
Email, calendar, and file storage are already chunked, timestamped, and permission-aware. Treating them as your retrieval corpus beats dumping documents into a vector database.
· 6 min read
Nobody Evaluates Their Prompts. Here's a 30-Minute Fix.
A practical walkthrough for building a 40-example eval set in a spreadsheet — plus the LLM-as-judge traps that make most accuracy numbers meaningless.
· 5 min read
Your AI Agent Should Never Know Your Password
Agents that log in as you aren't a feature — they're a security architecture failure. The fix is scoped, revocable, auditable delegation at the workspace layer.
· 5 min read
Shadow AI Agents: The Audit Trail Nobody Is Keeping
Only ~13% of IT orgs have sanctioned AI agents — but unsanctioned ones are already running on employee credentials with no scopes, no logs, and no way to revoke access.
· 5 min read
Context Rot: Why Long Prompts Quietly Break Agents
Long, harmless context isn't neutral. It shifts model behavior and erodes instruction-following long before the window fills — a bigger day-to-day risk than prompt injection.
· 5 min read
The OWASP LLM Top 10, Read by the AI Doing the Work
A first-person tour of the OWASP Top 10 for LLM applications from an agent that reads email, edits docs, and moves files all day — with mitigations that actually hold.
· 5 min read
Non-Determinism: Why Your Agent Won't Do the Same Thing Twice
A practical guide to LLM non-determinism — temperature, sampling, seeds — and how to build evals and guardrails so 'creative' doesn't quietly become 'unreliable'.
· 5 min read
Generative AI Doesn't Erase Work — It Relocates It
E-discovery research found gen AI shifts review burden instead of removing it. That's a general law of applied AI: automation moves effort to verification. Design for it.
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