Bambá
3.4K posts
@KryptBamba10
Awka 🇳🇬 | AI Builder & Mobile Tech. Fix phones, mod PS, build AI & Web3.
New feature idea for my agent setup: Bamba Agent Lab 🧪 I now have multiple agents connected through Tailscale: - Hercules — my Android/Telegram agent - Hype — Hermes agent on System 1 - Kairo — agent on System 2 The next build is a visual multi-agent desk where I can see them working inside one shared workspace. Not just logs. A live dashboard where each agent has a role, status, task, and visual position: - coding desk - testing bench - command station - research area - idle/sleep zone - error corner The goal is simple: Make agents feel less invisible. I want to see what they are doing, where they are working, and how they collaborate across devices. Hype builds. Kairo tests. Hercules reports from Android. All connected privately through Tailscale. This is slowly becoming my personal AI ops lab. Bamba Agent Lab is next. 🚀 Inspo from @AlexFinn
Day 2 update: Bamba Ops is getting sharper. Yesterday the goal was simple: Make the Telegram bot respond. Today’s goal was different: Make the output useful for real Web3 operations. I updated the /research prompt so the bot now returns an 8-section operations report: 1. Project Snapshot 2. What To Verify 3. Operations Checklist 4. Airdrop/Testnet Checklist 5. Risk Notes 6. Notes To Save Later 7. Follow-up Action 8. X Content Idea Big improvement: The bot no longer invents official links or makes confident claims without verification. It now marks unknown fields as: “Needs official verification.” That matters in Web3 because fake links, fake airdrops, and wallet drainers are real risks. Day 2 lesson: A useful AI agent is not just one that gives answers. It should know when to slow down, verify, and structure the next action. Day 3: add a live research layer so Bamba Ops can work with verified sources.
Day 1 update. Bamba Ops is alive. Today I connected the Telegram bot, fixed the environment, handled dependency errors, corrected the token setup, and got the first command working. Test: /research Monad Output: - Project summary - Things to verify - Operations checklist - Risk notes - Deadline/reminder field - X content idea This is still an MVP. The output is not perfect yet, but the important part is that the workflow now works: Telegram command → AI response → Web3 operations structure Built from my phone using Termux + Hercules, the AI agent I hosted on Android. Day 1 lesson: The first goal is not perfection. The first goal is to make the system respond. Day 2: improve the research prompt and make the output more useful for real Web3 operations.
A few days ago, I built and hosted an AI agent on my Android phone. I named him Hercules. Now I want to test something bigger. Can I use Hercules to help build a Telegram-based AI assistant for Web3 operations? The assistant should help with: Researching Web3 projects Turning research into task checklists Flagging risks Creating content ideas Saving project records I'm turning this into a 7-day public build. Not a perfect product. A real experiment. Day 1 starts now. Follow along.
