Newbie question. What are the differences of using Orgo or a VPS as Hostinger?. What are the pros and cons of each?. Thanks.

I recorded a 9:33 walkthrough of Bops, the business-ops agent app I built over a weekend. If you're building agents for yourself or clients, there are three parts worth looking at: 1. The actual task. I ask Boppy about a recent sales meeting and use email and company research for context. 2. The conversation. I move from the app to a phone call, then text, with the same context carried across. 3. The build. I show the Paper design, the T3 Code + Claude workflow, and how I connected computers, email, calls and business tools. As you watch, pick one task you'd hand to your own agent. List the information it needs, where the work happens, and how you'd check the result. Then compare that with the pieces in this build. What would that first task be for you? Full walkthrough in the first comment.

Watching a computer-use agent click through an interface on video makes automated operations look almost solved. The friction usually starts the moment you try handing that exact workflow over to run reliably inside a messy client setup. Most of the real challenge seems less about setting up the agent logic and more about keeping track of edge cases without sitting there watching it execute. For those running these for real businesses, where does the workflow usually break down first?

Keeping track of everything after deployment gets messy fast. The workflow I've been using: github.com - code + version history n8n.io - workflows and integrations docs.google.com - client SOPs and documentation floment.ai - tracking each agent as a project with fixes, tests, and next actions That last part became way more important once I had multiple things running. "Deployed" doesn't mean finished when clients start finding edge cases 😅 How are you guys managing agents after they're actually live?

The new Agent Operators episode with Karsten Stinis is live. Karsten installs managed AI agents for businesses in Belgium. His offer is €2,750 for the setup, then €250 a month for support. The part I'd pay attention to is what happens during the installation: he watches the client work, finds a recurring task, and aims to have something useful waiting for them the next morning. Before you install the agent, decide what it will finish. A morning briefing is a good example: meetings, open tasks, and unanswered emails worth following up on. The person can open it, check the sources, and decide whether it helps. Whether you're building for yourself or a client, try scoping one overnight job: 1. The job: choose one recurring task. 2. The inputs: name the inbox, calendar, or task list it needs. Connect the accounts and check access. 3. The result: decide where the output should appear and when it should be ready. Make it easy to trace back to its sources. 4. The review: choose who checks it. Keep outgoing messages as drafts for the first run, and have a person approve them. Run it once. Read the output with the person who will use it. Use their corrections to improve the next run before adding another job. In the episode, Karsten walks through Hermes on Orgo, Composio for connecting business tools, Honcho for memory, and how he monitors usage and incidents. Keeping the workflow working is part of the service. He also reports one client's agent setup being built in 22 minutes. Humans still handle the tool and account connections. Watch the full conversation: How He Sells AI Agents for €2,750 + Monthly Support https://www.youtube.com/watch?v=Y8MJG3iDtSo What would you want your agent to have ready tomorrow morning? Share the job below.