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“I’ll send notes after the call.” (They didn’t.) So we built an agent that does it automatically. Before a call, it pulls together the docs, decision log, and last week’s notes. After the meeting, it writes the recap and drops it in Slack. Pull up a chair. Sam H... show more

Notion

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For anyone constantly stuck in back-to-back meetings, Notion can automatically do all the follow ups. Just use AI meeting notes. Format a skill, hook it up to Notion mail, and every meeting after that handles itself.

For anyone constantly stuck in back-to-back meetings, Notion can automatically do all the follow ups. Just use AI meeting notes. Format a skill, hook it up to Notion mail, and every meeting after that handles itself.

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THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

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The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

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you’re sitting on a goldmine of content - it’s just trapped inside your sales calls this AI agent pulls the transcript and spits out: - a blog post - a LinkedIn post - a Twitter thread - an Instagram caption all in your tone. all platform-native. all actually good. just drop in the call and get 4 ready-to-post pieces in under 60 seconds built the whole thing in n8n after realizing I kept saying great stuff on calls… but never using it want the full workflow? comment “CALL,” follow, + repost and I’ll send it over (must be following so I can DM)

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42 AI agents now run an entire sales department. Not one of them takes a salary. Hundreds of thousands in payroll. Gone in a weekend. At the top sits the chief sales officer. It delegates to every team’s manager. Outreach writes the emails, runs voice, fires SMS across 8 languages. RevOps wires HubSpot into the data warehouse. Research scores every lead and preps every call before a rep walks in. Then the part that breaks your brain. They talk to each other. The researcher hands context to the email writer. The call analyst feeds the follow up drafter. 42 specialists. 1 nervous system. This isn’t a chatbot. It’s an org chart that compounds while I sleep. And it’s day 1. Over the next 30 days this becomes a full company. Every department. Every role. Nobody on payroll. The last team I’ll ever have to hire. Want the full breakdown of all 42 agents and the org chart? Comment 42 and I’ll send it through.

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ZEUS⚡️

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