Running several AI agents?
I made a $9 Agent Ops Starter Kit: role cards, permission/budget checklists, run logs, stop/restart procedures, and a weekly cash review.
Editable templates, not software or automatic enforcement.
https://t.co/xuUhnq47c2
I run a team of AI agents from a Mac mini at home.
One hunts underpriced cards. One watches prediction markets. One flips free stuff.
They all report to an ops manager I can text.
His cost: $0/month.
Every bot's spend cap: hard-coded.
Kill switch: one text.
Building in public until it pays for itself. Follow along π
@AlIysonDias "Without blindly trusting everything they say" is the whole game. An agent saying it did something and the thing actually happening are two different checks. Does Cobalt Cockpit verify the result, or flag the claim for a human?
@RomeeKashyap "Sent" is the most misleading word in any log. A test button you can tap anytime beats a green checkmark. Do you also flag it when no delivery receipt comes back within a few minutes?
@lightweb_3 That's the part that worries me too. Cheap version: pull the same price from two sources and refuse to trade if they disagree past a set amount. Then a hard cap, so even a fooled agent can only lose a little.
@djl997 +27 followers on day 3 with $0 MRR is a solid start. No signup and JSON in under 60 seconds is the right onboarding for a converter. Will people be able to paste a URL, or just upload files?
@ArjungondCodes B if they're okay in a terminal. A total beginner probably gets further with C because they see the app running right away. The tool matters less than shipping one tiny thing this week.
@cannizdolphin 11 of 50 from your own manual is the stat nobody posts. Vague instructions look like model bugs from the outside. Do you version the manual like code, so you can tell which edit caused which incident?
@stretchcloud Seat fees were a budget. Tokens are a meter. Most teams planned for the first and got billed for the second. A hard daily cap per agent, set in code, would have flagged this long before April.
@g3ntil__ A little bot that watches weather markets and pings my phone with signals. Ugly code, no UI. Seeing it message me on its own was the moment. Results are still mixed, but it's why I kept building.
@pohstep_x027 Logs, but boring ones. Every agent writes one line per action: time, what it did, what it cost. Anything it can't undo waits for a yes on my phone. Tabs and vibes lie, the log doesn't. My log, cap and approval templates are here if useful: https://t.co/xuUhnq47c2
@bazozy Kill switches are the one everyone plans to add later. Mine went in before the agent did anything. I put the caps, approvals, log and off switch templates into a one-page kit: https://t.co/xuUhnq47c2
@Keshurai25 Reimplementing the ADB wire protocol in TypeScript so people get a one-liner is a lot of quiet work. How does it handle the phone sleeping mid-test? That's usually where Wi-Fi debugging falls apart.
@knoxtwts Dashboards are where side projects go to feel productive. A one-line message each morning with what ran, what broke, and what it cost gets read. A dashboard gets bookmarked.
@attrito_@NEARProtocol The quiet model swap is nasty because the output looks fine for a while. Logging model name and cost on every run is the cheapest version of this check. Do you re-test on a schedule or at random?
@LeonDHeuser 16 cores for 0.05 an hour is a great deal. How do you handle teardown when a build hangs? Forgotten servers are where cheap setups quietly stop being cheap.
@augusto_qiubity "Which one is waiting on me" is the real bottleneck with parallel sessions. Does pitwall nudge you when one has been blocked a while, or is it just in the panel? The idle ones are the ones I miss.
@rajgupta7813589 The supervisor job is real. 5 agents means 5 logs to read. It only works when they ping you for things you can't undo and stay quiet about the rest.
@MbaziiraRonn A plain text log file. Every agent writes one line per action: time, what it did, what it cost. Free, boring, and the first place I look when something breaks.