AI moves faster
than you can read
Every day there is a new model, a new agent, a new shift in how the work gets done. Miss a week and you are behind. AI Espresso reads the firehose so you do not have to, then sends the three things that actually matter. Under three minutes, every weekday morning.
Why this exists
Keeping up became a second job.
You know the feeling. Something important shipped, everyone is already talking about it, and you are finding out late. The models, agents, and tools under your stack change every week, and the one shift that matters is buried under launch threads and hot takes.
- A dozen tools ship updates every week. Half of them change how you would build.
- The shift that matters is buried under noise, reaction, and self-promotion.
- By the time it reaches your feed, it is a week old and stripped of context.
AI Espresso is the fix. One operator reads the firehose every day and sends only what changes the work, in the time it takes to make an espresso.
AI Espresso · weekday mornings
A day of AI, in one sip.
The shifts that actually change the work, distilled to three minutes. Done before your espresso is.
What lands in your inbox
A real issue, not a mockup.
No editing, no cherry-picking. The real June 30, 2026 issue, exactly as it sent. It continues in your inbox.
Recent issues
Every issue, still here.
Nothing deleted, nothing quietly skipped. Judge the last 8 before you commit to the next one.
45 sent to date
- Lifecycle Agents become an operational resource. AWS AgentCore moves agents into normal cloud workflows, Copilot Studio organizes them around knowledge and memory, Boomi ships an Agent Garden lifecycle API.
- Runtime Production needs runtime, memory, a gate. Google frames the agent stack as services not one library, Tencent EdgeOne deploys agents like web apps, HubSpot wires G2 signals into Breeze Agents over MCP.
- Access Top models arrive through gates. GPT-5.6 Sol signals frontier models dosed like critical infrastructure, GitHub Desktop 3.6 pulls in worktrees and Copilot, Vercel Agent Runs makes runs debuggable.
- Control The workspace is set. Now the rules. Codex and Claude make the local agent a service you supervise from your phone, Vercel AI SDK 7 turns agents into a portable execution layer, Copilot for Jira closes ticket to PR.
- Telemetry Agents get hands, now meters. Gemini 3.5 Flash gains native computer control, Heron shows what an agent actually does on the web, AI PR-spam turns into an operational problem.
- Infra Agents become company infrastructure. Claude Tag turns Slack into shared delegation, Copilot App runs agent sessions on your own models, Mistral OCR 4 gives agents documents with layout not just text.
- Trust An agent is not enough without a checker. OpenAI and Trail of Bits push fixes over more reports, GitHub brings enterprise agents to JetBrains with per-turn cost, Skybridge wants to be React for in-Claude apps.
- Ops Control becomes the product. OpenAI gives admins one view of ChatGPT and Codex cost, GitHub closes the common pwn-request in Actions, Slackbot starts calling MCP tools from a channel.