Twelve months ago, Google published the Agent-to-Agent protocol spec with 50 supporting organizations.
The most uncomfortable benchmark result in agentic AI right now: a single agent matched or outperformed multi-agent architectures on 64% of tested tasks —...
A customer support agent shipped last quarter at a startup I advise. It handled refund requests beautifully — for the first ten turns of each conversation.
Every agent framework that shipped before 2026 solved the same problem in the same embarrassing way.
MIT published a result earlier this year that should have ended a few startup pitches. Take a multi-agent system performing reasonably well — 90.
Most teams securing their agents are still doing chatbot-era work.
Between March and May 2026, OpenAI, Google, Anthropic, and Microsoft each shipped production-grade agent SDKs.
You hear the artifact at second 47. Not a stutter, not a glitch — the voice just shifts.
Most agent frameworks burn tokens on reasoning traces before every tool call.
A researcher opens a GitHub issue. The title reads: "The login button does not work!
Last month I watched an agent support system maintain 99.7% uptime for three weeks.
Between April 9 and May 1, AWS, Google Cloud, and Microsoft each shipped an agent registry.
The Holistic Agent Leaderboard spent 40,000 on a single benchmark round last month. Nine models, nine benchmarks, 21,730 rollouts.
OpenAI swapped ChatGPT's default model from GPT-5.3 Instant to GPT-5.
AWS shipped a managed MCP server last week that exposes every AWS API through a single tool called call_aws. One tool.
Every agent memory discussion starts the same way: how do we store what the agent learned? Vector database, embedding model, retrieval pipeline.
Five agents sounds like a team. In practice, it's a conference call where everyone talks over each other and nobody takes notes.
The agent frameworks all demo the same thing — an LLM reasoning through a task, calling tools, returning results. Clean loop, clean demo.
A WHERE clause fixed multi-tenancy in 2015. Your SaaS app had one database, one schema, and a tenant_id column on every table.
Last week I added a fifth MCP server to a coding agent I've been running in production. Response quality dropped off a cliff.