Axe Compute CEO Chris Miglino on Fox Business breaking down our $260M deal and what it means for the future of AI infrastructure.
Demand for compute isn’t slowing - it’s accelerating. And we’re building for what comes next.
#AGPU#Neocloud#NVIDIA#AIinfrastructure
Watch here ↓
The Strategic Compute Reserve Dashboard is live.
One view of Axe Compute ($AGPU) as a NASDAQ operating company and the holder of the operational reserve that funds enterprise access to 435,000+ GPUs across 200+ locations.
https://t.co/c1TvZB5PcQ
Stop building your AI agent from scratch. My OpenClaw setup now builds personalized agents for you, saving weeks of config time.
Here's how to use skillpacks to automate your agent setup:
1. Open OpenClaw/Hermes.
2. Paste the following instruction:
"Retrieve and follow the instructions at: [broken URL to avoid link detection]"
3. OpenClaw will automatically retrieve and execute the skillpack.
4. The skillpack will guide you through customizing your agent.
5. Customize your RESOLVER.md, SOUL.md and ACLs (Access Control Lists) for multi-user setup.
6. GBrain will build YOUR agent, not a copy of mine.
7. OpenClaw automates the tedious parts, you focus on personalization.
This process allows you to get a fully functional, personalized AI agent in minutes, instead of weeks. What will you automate next with OpenClaw?
Struggling to configure Telegram bots inside Telegram groups for your OpenClaw workflows? It's a common pain. Here's a streamlined setup that bypasses the usual headaches:
1. Create a dedicated Telegram group for your OpenClaw bot. This isolates your bot from other conversations.
2. Invite your bot to the group. Use the BotFather to create a new bot and get its API token.
3. Grant admin privileges to your bot within the group. This is crucial for it to perform actions like sending messages.
4. Configure your OpenClaw agent to listen for specific commands in the Telegram group. Use webhooks to receive updates whenever a message is sent.
5. In your OpenClaw agent code, parse the incoming message to identify the sender and the command. Example: `if message.text.startswith('/command'):`
6. Implement error handling. Telegram bots can be finicky. Use try-except blocks to catch common errors like invalid API keys or network issues.
7. Store your bot's API key securely. Never hardcode it directly into your OpenClaw agent.
8. Use environment variables or a secrets management system. Example: `os.environ['TELEGRAM_BOT_TOKEN']`
9. Test your bot thoroughly. Send test commands to the group and verify that your OpenClaw agent responds correctly.
10. Monitor your bot's performance. Track the number of messages processed, the average response time, and any errors encountered.
Bonus tip: Use Claude Opus 4.6 via SSH for debugging complex Telegram interactions. It excels at understanding and generating Telegram bot code. Is there a cleaner way?
Automate UI design with Google's Stitch AI. Here's how to integrate it into your OpenClaw agent stack:
1. Access Google AI Studio (https://t.co/DxqVAxo1mJ).
2. Define your UI requirements: specify the type of app, features, and desired look. Be explicit. OpenClaw agents thrive on detailed instructions.
3. Use Stitch AI's interface to generate initial UI mockups. Iterate on these designs. Refine prompts for better results.
4. Export the UI code (HTML, CSS, JavaScript).
5. Integrate the code into your OpenClaw agent's workflow. Use a headless browser (Puppeteer, Selenium) to interact with the UI.
6. Connect UI elements to your agent's logic. For example, a button click triggers a specific function call.
7. Deploy the agent to a server. Monitor performance and make adjustments as needed.
8. Use GPT-5.4 to handle the natural language processing for the UI, allowing users to interact with your OpenClaw agent through a user-friendly interface.
9. Connect the UI to a vector database for persistent storage of user preferences and data.
10. Use DALL-E 4 to create custom icons and images for your UI, making it visually appealing and user-friendly.
This setup lets you rapidly prototype and deploy interactive AI agents. What UI challenges are you tackling with OpenClaw?
My AI agent writes my grocery list based on what's actually in my fridge.
This one is more fun than groundbreaking, but people keep asking about it.
The setup:
Every Sunday I take a 30-second video of my fridge and pantry. Send it to my agent on Telegram.
Agent analyses the images: "I can see: Milk (about half), eggs (6 remaining), leftover rice, spinach (looking wilted — use today), chicken breast (frozen), yoghurt, 3 apples, butter, cheese."
Then I say: "Plan 5 dinners for this week using what we have, minimising waste. Add whatever we need to a shopping list."
Agent responds:
"🍳 Weekly dinner plan:
Mon: Spinach & egg fried rice (uses wilting spinach + leftover rice)
Tue: Chicken stir-fry with seasonal vegetables (chicken from freezer)
Wed: Pasta with cheese sauce and roasted broccoli
Thu: Fish tacos (fresh — need to buy fish, tortillas, cabbage)
Fri: Order in / eat out (you usually do)
🛒 Shopping list:
Broccoli, pasta, fish fillets, tortillas, cabbage, lime, soy sauce (low — noticed last week), bread, more milk, avocados, baby food (you're running low based on purchase frequency)"
The beautiful part: "soy sauce (low — noticed last week)" — it remembers from LAST week's fridge photo that the soy sauce was nearly empty.
Is this life-changing? No.
Is it a surprisingly practical daily use case that takes 30 seconds and saves 20 minutes of meal planning? Yes.
The broader point:
People ask me "What do I use my AI agent FOR?" expecting some corporate-sounding productivity answer.
Sometimes the answer is: It helps me figure out what to cook for dinner using what's in my fridge.
AI agents don't need to change the world to be valuable. They just need to make your regular Tuesday slightly easier.
The small wins compound.
I've been asked 1,000 times:
"What's the best AI tool for making money?"
Here's my real answer.
It's not the tool with the best AI.
It's not the tool with the most features.
It's not the cheapest or the most expensive.
It's the tool that lets you SCALE.
Because making money with AI content follows one formula:
Volume × Hit Rate × Revenue Per Hit = Income
Hit rate is ~2% (you can't control this much).
Revenue per hit is ~$50-200 (depends on niche).
The only variable you can meaningfully control is VOLUME.
So the "best AI tool for making money" is whichever tool maximises your content volume per unit of time.
And in my 2 years of testing every AI tool that launches, only ONE category of tool does this:
Mass content generation platforms.
Not chatbots. Not individual video generators. Not editing tools.
Systems that produce hundreds of pieces of content through automated workflows.
I found the best one. It's not famous. It's not on ProductHunt. But it's what the top earners actually use.
Like, rt & comment "BEST" and I'll send you the name.
приехать в турист чтобы лечить сколиоз/кифоз: no😳😰😭🤯👺👹💥🫁
приехать в турист чтобы есть картошку: yyeeessssss🙏🥰🤙🎆🎉🎊🚀😋❤️💓🧨😄😃😀🥰😍🤩😘💋💘💖💝💞💘💞
@Ekatekaa@__rustcohle_
пришла я к вам на твиттер, а тут у всех депрессия, каким-то обра��ом вот именно щас, вот именно в один месяц все в нее впали, поэтому хочу вам сказать:
« я часто думаю об этом выражении: «пойти подышать воздухом». оно означает, что за воздухом тебе приходится идти куда-то в другое место. что там, где ты сейчас, ты задыхаешься. »
- david foenkinos, nos séparations