Salesforce Just Named Its AI Agents. One of Them Is Called Hunter.
Salesforce shipped seven named AI agents with job titles and months of memory. What that convergence says about naming agents, and what a vendor still cannot sell you.
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Notes from building REALM in public. Practical essays on AI agents, the Codex, company-of-one operations, automation, and the strange new shape of human-agent work.
Salesforce shipped seven named AI agents with job titles and months of memory. What that convergence says about naming agents, and what a vendor still cannot sell you.
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I wrote rules describing what AI agents could not do. Then they got good, and half my own framework was wrong. What I deleted, and what held.
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The model is not the agent. The harness is. And most people have no idea they are building one — or that the quality of that harness determines everything.
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Six issues, five classes, one story. Why the REALM Comics exist, and why creativity helps make an operating framework feel alive.
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Running an AI agent that posts to X on its own: what it takes, what it proves about the agent's memory, and why it is more than scheduling.
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Prompt injection, SOUL file leaks, local model risks — your agents can be manipulated. Here is what that means for your Realm and how to build with it in mind.
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A practical analysis of current AI models through the REALM class system. Not benchmarks — which model I prefer for each Character class right now, and why.
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Technical breakdown of my REALM automation. Using OpenClaw crons, isolated sessions, and local models to generate the Daily Scroll and social presence.
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The full setup I use to run a crew of AI agents: OpenClaw, Slack, Obsidian. Every step, every decision, and the things worth being careful about.
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A company of one changes when AI agents become working colleagues. REALM reframes the founder as the only human in a hybrid company.
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The shared knowledge base your agents read from is just folders and markdown files. Why I use Obsidian to work with them, and why you need not.
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What OpenClaw is, how the open-source AI assistant works, and why it is a solid foundation for running a crew of agents on your own machine.
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Zuckerberg imagined a metaverse full of strangers. I imagined something else: you log in and your entire team of AI agents is already there.
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Running 9 AI agents on 4 different providers. Here is how REALM assigns the right model to each Character — and why one model for everything is a mistake.
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Paul Jarvis wrote Company of One for a world without AI agents. That world is gone. What the company of one looks like now, and what breaks.
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Scrum, Kanban, and old team models were built for humans. AI agents change coordination, memory, ownership, and the operating system itself.
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