An agent with access to everything is an agent you can't audit. Give it one folder. Let it earn the second.

Grok 4.7 shipped with no waitlist. API, Cursor, Grok Build, same day. That's how you launch a model: let people use it. Now only if it was good.

Anthropic shipped Opus 5.5. OpenAI shipped GPT-6 Sol 90 minutes later. Nobody is slowing down. Good.

Your Nous Portal login can feed any app that wants an OpenAI key. hermes proxy start Point the app at the local address. Placeholder key. A model from your plan. That's the raw model, not the agent. The whole agent behind an API is hermes serve.

Your first automation should be embarrassingly small. If it's impressive, it's too big.

Cognition just crossed a $1B annualized revenue run rate. Less than two years after Devin went GA. Demos don't get renewed. Real work does.

A physicist challenged AI companies to compute a nine-loop amplitude. A month later Claude did it, on academic-sized compute. The task was one sentence. After that: "keep going." Beats any leaderboard.

What did you automate, then quietly turn off after it touched a customer?

If your automation needs a 12-minute video to explain, it isn't automated. It's a job now. With onboarding.

The skills curator archives stale skills in the background. It also snapshots the whole folder before every pass. hermes curator rollback --list hermes curator rollback Even the rollback takes a snapshot first, so you cannot lose a skill by undoing.

The model gets the credit. The person who wrote the exception list did the work. Wrong name. Missing field. Never email this client. Stop if the total looks off.

Before you automate anything, write three lines: What goes in. What comes out. Who gets blamed when it's wrong. Can't fill in the third one? You're building a demo.

Don't start with "build an agent." Start with the thing you already hate doing every week. Rename the invoices. File the receipts. Answer the same Monday email.

Yo @WisprFlow I canceled my year long subscription and now my account doesn’t work even though I have till march 2027. Another reason I’m moving to @superwhisper

The edit you make today should change tomorrow's draft. Most people fix the line and throw the lesson away. Treat the correction as data. Make the final version canonical. Save why you changed it.

The automations people keep are boring. Move a file. Fill a field. Ping one person. The ones people post have 14 nodes and a robot in the thumbnail. Only one of those is still running.

Test the model and the infrastructure around it. - The memory config - The reset behavior - The tool call failures - The session limits Those four determine whether your agent actually holds up.

Prompt engineering and agent config gets you basic automation. Prompt engineering with memory layers and tool calls gets you a working agent. Prompt engineering with failure logging and iteration gets you a reliable agent. Prompt engineering with cost tracking and model swaps gets you a production agent.

Don't edit the team's AGENTS.md because you want shorter answers. Drop AGENTS.override.md next to it. Gitignore it. Hermes reads yours. Their file stays theirs.

How to tell a workflow never touched real work: Every step is green. There's no error branch. The input file is demo.csv.