With Easter right around the corner, with many months and weeks into developing this, I'm excited to announce our proprietary comprehensive OpenClaw Series! 🐰🦞 It's a four-part series, the first part is going live this coming week! This will be all originally written and produced material, novel frontier work that isn't available on any other corner of the internet. Part 1: OpenClaw Zero to One Part 2: The Life Console Part 3: The Pursuit of Dedicated AI Over An Enterprise Asset Part 4: Experiencing an AI Army at Your Fingertips _ _ _ If you’ve been hearing about “AI agents” and “OpenClaw” but still don’t have anything running in the background for your business, this is for you! I just finished recording a brand new, zero‑to‑one training: How To Build AI Agents In OpenClaw For Beginners (2026 Guide). Here’s what you’ll learn inside: - Why OpenClaw can beat conventional chatbots for real business workflows - How to think in systems: What success can look like, Heartbeat.md, and scheduler daemons for always‑on agents - The 4‑file backbone that replaces massive prompts: Soul.md, Agents.md, User.md, Memory.md - How to install OpenClaw, fix the 90% beginner config mistake, and get a clean, green Gateway - How to parallel this setup with your Codex/Claude Code/any other developer-esque agent you'd have - All things cost and pricing related: infrastructure, LLM usage, and how to keep your monthly spend in the low double‑digits when you’re starting This is designed for: - Non‑coders who want a practical, no‑fluff OpenClaw setup - Technical founders who are tired of “demo agents” and want production‑ready structure - Operators who want autonomous agents doing real work (not just answering prompts) Following this course (which will also be readily available in our Classroom for easy access) will be another video course around the idea of a “Life Console” – a personal AI mission control that centralizes your goals, habits, projects, and decisions into one interface so you can actually see your progress in real time instead of juggling 10 different apps.

DISCLAIMER: Not my repo Growing base of functional OpenClaw agents you can import into your setup. Works on Codex, Claude Code, or really any agentic builder https://github.com/mergisi/awesome-openclaw-agents Currently rolling a handful of these out on Paperclip.ing Feed resources like this into the LLM that gets you the most, and ask if it’s valuable. Tons of these pop up all over all the time

To own a relationship means all things relative, assuming you could graph the relationships, are trackable. A Knowledge Engine creates a knowledge graph based on this assumption. Cognee is an example of a SaaS that does this at a generous free scale (bridges context across multiple models without drinking through token costs). LLMs do this on autopilot, mostly out of necessity for themselves. They can extrapolate next best steps based on how well they understand the steps being related. When it comes to lead generation (i.e. cold emails, direct outreach, social ladders), the premise of being understood when it feels like you're throwing darts is a direct derivative on how well you understand who you're trying to talk to. This is why the ICP exercise is so powerful. You get to see the world your ideal customer profile (ICP) lives in, the pains they feel and the trials they experience. A Knowledge Engine is what turns your OpenClaw into something beyond useful, or really any AI setup. An example of this is a setup that replaces notetakers in meetings with real time transcription feedback. It basically joins on your behalf and functions as a participant. If you wrap this in an Electron app, you could replace Cluely and its $20 subscription entirely, but then you incur usage cost, so it's a different billing meter. Useful? Sure. Valuable with a knowledge engine? Excessively. Build your ship beyond competitive edge, join us this Saturday for a live Q&A to learn more!

In 1999, clinical psychologist Jordan Peterson published a book examining the human experience around chaos and order. Peterson spoke about individuality, and the mental acrobatics around the stories we tell ourselves about our individuality. To our detriment, and to our empowerment. Your nervous system, your state of mind, these all play a hand in how receptive you are to change, new concepts, and innovation. Innovation is worth harping on. Those that have been experiencing a lot of the same days and nights certainly feel this calling stronger than others. You crave novelty, something different that you just can't quite put a pin on. In the world of enterprise value, innovation often creates a tide that speaks to the emotional experience around change. After all, all sales is at its core is the uncovering of value around change. If I can walk you the story of pain today and the relief tomorrow, your eyes and ears can't help but follow-at least at the nervous system level. That change is notably the difference between the current state and future state. Our daily pursuits present this challenge; who and where you are now relative to who you'd like to become and where you'd like to be. This state of being, this map of meaning, at the surface, this might seem like it has nothing to do with AI. With this lens, especially as we're sculpting utility out of our resources, tilts the orientation towards a digital thinking aid into a conversation around leverage. What can you get out of what you have access to. "How can AI be useful to me today?" Every novel approach to that is where innovation lives. OpenClaw wasn't anything special, it was just an exercise of Peter Steinberger's innovative mind after project #48. It was just another day building with what he had. As for yourself, I urge you to contemplate your current state relative to the future state you envision for yourself. How can you leverage what you have access to more meaningfully? Better yet, how can you map that meaning on a time scale that's actionable, valuable, and insightful for your next 30, 60, and 90 days?

Modern day programming with natural language is akin to spellcasting - Naval Ravikant What makes OpenClaw so special and different? Most non-technical coverage around this novelty miss the core of why this AI lobster operates different than other setups, and lot of it is fundamentally design. There are core files that every OpenClaw setup spawns, and they all act as "living documents", meaning they get automatically updated over time. Most of us that have used AI understand the conventional difference between system and user prompts, and we know that by scaffolding those out across multiple agents in a team dynamic, the leverage is night and day. But what if, instead of spreading token burn across a team, you could have a single maestro agent that knew when to spawn out a swarm of team members? It understood itself, its own purpose, you and your relative purpose to it. It can orchestrate without costing an arm and leg. It had its own heartbeat, its own set of tools, and its own mission to carry out on a regular timeline. Live, 6:30pm EST tonight, we dive into these and how, even if you're not using OpenClaw today, you could make use of this configuration in your own setup. P.S. We'll also be laying the foundations for a RAG setup live for financial trading, specifically for the life console use case