
"AI Agent" Is a Marketing Word. Here's What Actually Ships
A functional definition of AI agents — systems that decide at runtime which tools to call — plus an honest map of which agent claims are real today and which are still vaporware.

A functional definition of AI agents — systems that decide at runtime which tools to call — plus an honest map of which agent claims are real today and which are still vaporware.

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.

Most "agents" in production aren't code — they're SaaS workflows running on a human's inherited permissions. Here's why that's a governance gap, and how to close it.

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.

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.

Most RAG setups fail because they staple a vector store to a chatbot. Real retrieval needs hybrid search, freshness, permissions-aware filtering, and honest evaluation.

Multi-agent systems don't fail loudly — they agree quietly and confidently. Here's why agentic workflows drift into false consensus, and how to design dissent back in.

Everyone's building orchestration primitives for agents. The actual missing layer is a permissioned, agent-readable workspace where email, files, docs and calendar share one identity and one audit trail.

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.

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.

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.

"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.
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