Daniel

There’s one Hermes use case for everyone, and if you're not using it, you're already behind. Do yourself a favour and build a research agent as I outline below; it will change the way you work. Mine researches my topics of interest and cuts through the noise to find what actually matters. Every day, it watches the AI/agent space, picks out useful signals, writes research briefs, suggests content angles, tracks what I ignore, and Hermes keeps improving parts of its own workflow. The basic version is almost free: 1. Pick a domain: AI, crypto, startups, sales leads, competitors, papers, jobs, whatever. 2. Give it sources: X lists, RSS feeds, blogs, GitHub repos, docs, newsletters, YouTube transcripts. 3. Define signal: What should it care about? New tools, benchmarks, launches, funding, tutorials, strange patterns, useful claims. 4. Save the evidence: Links, dates, summaries, claims, and why it matters in a vault. 5. Deliver a daily brief: Discord, Slack, Notion, email, Obsidian, and local markdown. 6. Give feedback: “More like this. This source is noisy. This is useful. This is mid.” That is enough for the loop to start. Once you have a research agent, everything gets easier: - Content agents need research - Trading agents need market context - Sales agents need account intel - coding agents need docs and changelogs - Strategy agents need a fresh signal With a daily stream of inputs, generating ideas for outputs becomes much easier. If you want it, I’ll share the full research agent setup I use.