If you saw the recent video showing the Telegram-based 24/7 agent interaction, here's the next evolution — a brand new web interface with a dynamic live chat. What's New Streaming Chat UI — Unlike Telegram, this web chat streams responses in real-time, just like you'd expect from a modern AI agent. It's a much smoother experience. Notifications Dashboard — Get live notifications for everything happening across your swarm so you're always in the loop. Process Monitoring — View and manage all running processes, cron jobs, and scheduled tasks in one place. See what's enabled, what's running, and the differences between them. Triggers & Webhooks — A new triggers system lets you set up webhooks that feed into your event handler, or have it send webhooks on your behalf. If you've dug into the Pokebot at all, this opens up a lot of automation possibilities. Want Early Access? Jump into the No Code Architects community. Members will get early access to these releases in beta. And I'll go deeper into how it's made and the tools behind it, which I think is truely valuable. No one online talks about that. A lot of the time, its the tool BEHIND that tool, that's really magic. Like Clawdbot, its cool, but the real tool behind it is pi-mono. If you're the type who wants to take advantage of these ground breaking tools, help shape feature, give feedback, and stay on the bleeding edge — that's where it's happening. If you want to be part of building this — the No Code Architects is the place.

Business isn't hard because it's complicated. It's hard because it forces you to do the things you don't want to do. Most people never figure this out. They spend years convinced they're missing the perfect strategy, the right tactic, the course that finally unlocks everything. They scroll, they research, they plan. And the whole time, they ignore what's sitting right in front of them — the most basic actions that actually move the needle. Pick up the phone. Make the call. Text the potential client. Create the content. Cut the expenses. Have the brutal conversation about money with your spouse. Tell your kids, "I can't come today." Nobody wants to hear this. I didn't either. The Search for the Secret I wanted the secret plan. I was searching for it — the hidden playbook that successful people weren't sharing. But here's what I learned: I wasn't going to wait for it. And the real breakthroughs in my life didn't come from a new framework or a better funnel. They came from facing fears and making hard choices. From uncomfortable conversations with real people about real things. That's it. That was the whole secret. Why Good Strategies Feel Wrong (after the excitement wheres off) Here's the thing about genuinely good strategies: they're boring and/or scary. They ask you to prioritize two or three actions, repeat them relentlessly, and get zero results at first. That's not a bug — that's the point. Good strategies work because they leverage an insight that no one else can sustain or are scared to do. The insight itself is usually simple. Obvious, even. It's an observation of how the system works and where the opening is. Anyone can see it. Almost nobody can execute it — because execution comes with fear, discomfort, and the constant temptation to quit and go find something easier. That's when it all falls apart for most people. Not at the strategy level. At the feeling level. What Actually Changed for Me I know all of this because I lived it. For a long time, I was the person refreshing my feed looking for the missing piece. Convinced that if I just found the right strategy, things would finally click.

Hey Academy! Most AI agent platforms put your data at risk—so I built my own secure bot and I'm giving it to you for free. In this video, I'll walk you through the Pope Bot: a self-hosted AI agent that runs 24/7 using GitHub Actions and Docker containers. You'll see how to set it up from scratch, connect it to Telegram, and trigger jobs via API. I'll show a real example—building a financial advisor that does daily market research automatically. You'll also learn how the security architecture keeps your API keys and credentials safe using GitHub Secrets, how the bot logs everything to Git for full transparency, and how it can even analyze its own performance to improve over time. Step-by-step install included. ▸▸ The Pope Bot → https://github.com/stephengpope/thepopebot

🔴 Live Stream – Tuesday, February 3rd at 11 AM >> CALENDAR << I'll be covering four topics I've been digging into lately: 1. OpenClaw (aka Maltbot/Clawdbot) Going beyond the surface on this one — I'll break down the lesser-known underlying framework that powers OpenClaw and what makes it interesting. 2. Remotion.dev + AI Video Orchestration I've been building an MCP that connects to various AI APIs and Airtable to manage assets and orchestrate video creation — scenes, segments, faceless videos, demo videos, etc. I'll walk through what's possible with Remotion as a web-based video editor paired with Claude Code. 3. Running Your Own Local LLM If you're going to have an AI agent/assistant running 24/7, paying for expensive models like Claude around the clock isn't practical. I'll share my thinking on how to set up a local machine running models like DeepSeek or Kimi for always-on tasks, while reserving premium models for when you actually need them. 4. AI Chat Interfaces as a SaaS Framework I built a YouTube Strategist SaaS (thumbnail help, research, etc.) on top of a framework I created for launching chat-based SaaS apps quickly. The idea: instead of designing complex UI for every feature, give an LLM the right tools and let the chat interface handle it. I'll demo the app and walk through the framework. Hope to see you there! 🎙️

I built my own AI agent, it's called the Pope Bot, and it works kind of like OpenClaw (Moltbot) but with two big differences: it's more secure and way more scalable. Here's the basic idea: You send the bot a task (via API, Telegram, whatever). The bot creates a branch in GitHub with that job. GitHub Actions picks it up, spins up a container, runs the task, and checks everything back into the repo when it's done. Nothing runs on your computer. It runs in the cloud. Your API keys? Stored securely in GitHub Secrets. They get injected at runtime and don't just sit around exposed somewhere. And like OpenClaw it can modify itself. I told it to add a scheduled task (a cron job) to run every 30 minutes. It figured out how to update its own config, pushed the changes back to the repo, and now it just... does that. On its own. It also builds its own tools over time. Say you tell it to check your email. It doesn't have a tool for that yet. So it looks at the API, figures out the call, writes the code, and saves that skill back into the repo. Next time? It already knows how. It only figures it out once. So your bot gets smarter the more you use it. And because everything lives in Git, if you ever wanted to share your assistant with someone, you just share the repo. They swap out their keys and they're exactly where you are. I'm working on getting this out to you all as soon as I can. It's one of those things that's easier to build than explain — but more coming shortly.