There is an unbelievable amount of engagement farming on the timeline around AI.
Non-technical people larping about how easy it is to use openclaw to build anything.
Hype people claiming open source models are just as good as frontier models.
Surface-level people saying they switched from Claude to ChatGPT or vice versa because of XYZ in the news or because they are bad at prompting.
I mean, I guess it was always like this. But this time around it feels extremely excessive.
If you're using Claude Code and don't have these three small things added, you should.
1. Dangerously Skip Permissions
Turn this on, and you never have to accept any plans they make. It'll just automatically do whatever it wants, which you were gonna do anyway, so just turn it on and save time lol
2. Plan Mode
Plan mode helps Claude plan its steps before actually doing it. If you go straight into action, it might make a few moves that could be done in a better, smarter way.
So whenever you're trying to figure something out, tell it to do it in plan mode and then action it.
You can do this with dangerously skip permissions as well. After it decides what to do in Plan Mode, it'll automatically start skipping permissions.
3. Hooks
Shell scripts that fire at specific Claude Code events. Pre-command. Post-tool. On-error.
I have a hook that auto-commits every time a build passes tests. Another sends a Discord message when Claude finishes a long task. Another runs lint before Claude touches any file.
Woke up this morning, made coffee, checked YouTube. Today's short was already posted.
Yesterday I built a single automation that runs daily: content calendar → script → AI avatar video → YouTube upload.
No editing. No rendering. No uploading. It just runs.
Everyone keeps talking about the possibilities of making money with Openclaw, but nobody actually shows you how
So, I made a skill for your Openclaw that transforms it into a one-man AI real estate marketing machine.
This skill took me 2 weeks, 50+ hours and ~$800 in API credits to make
With this skill, your Openclaw will autonomously make videos like the one below by simply scraping images from listings
No approval gate. Fully autonomous. Output decided by your CRONs cadence.
It's exactly what mine does, and that's exactly what you should be doing with yours. Run the CRON once a day; if you sell at least one video, you should make $300-$800 each.
Also: total cost per video: ~$5.00
I truly believe this skill is one of the most practical ways you can actually make money with Openclaw in the lowest effort way possible.
Most people will read this, maybe bookmark the tweet, and never take action. All I hope is that one of you guys actually takes action and makes money with this.
Because of how long this skill took me to make, I'm only giving the entire thing away to my paid Subscribers on Twitter. You'll also have direct access to me for any troubleshooting + any other Skills I make like this in the future (one more dropping this week)!
You just have to feed it to your Openclaw and link a few API keys.
This will be the first of many Openclaw skills/overpowered AI that I only offer to my Subs!
Full Skill + a lot more is waiting for you here for $25/m: x.com/ashen_one/crea…
The Bot Log | Update 08
T-minus 60 hours until the Dell GB10 drops and we give our AI arbitrage swarm real vision capabilities. ⏳
You can’t migrate a messy, bloated agent to heavy enterprise silicon. So tonight we completely rebuilt the Maxbots_Enterprise architecture to cleanly separate Logic from State.
🧠 Right Brain: Persistent Memory & Rules
🛠️ Left Brain: Progressive Disclosure SOPs
Huge credit where it’s due — this clean split came straight from two killer videos:
• @simonscrapes and his “Claude Skills Like the 1%” framework (the exact Left Brain SOP structure we used)
• @openclaw (built by @steipete) and his “OpenClaw Memory Mistake” fix (the Right Brain persistent memory system)
Their blueprints turned a messy swarm into something hardware-ready. The hive is now structured.
Now we wait for the silicon. 👇
GM 🌞
I’ve been quiet for a while because of this piece. It’s literally taken weeks of my life recently as I’ve pushed to finish something I started over a year and a half ago.
Now I’m finally adding colour, then going in for another shading pass before the highlights.
i think the new MacBook Neo is the best device for AI work
a year ago i would’ve said most people should just get an ipad with a keyboards. that and an iphone is enough
but now you really need a laptop so you can use claude code and codex, or you’re missing out
for $700 you get a great, secure laptop that has literally everything you’ll ever need. it’s a complete package. you need to be a complete idiot to buy a mac mini when this exists
@spaceMonster yeah, i think everyone is going to either going to use cloud inference (99% of people) or have a local box at home and connect to it remotely. lugging around a phat macbook pro just so it can run inference locally (very slowly) really makes no sense
I turned a Zillow listing into a cinematic property renovation video for $15.
Realtors pay $200-$1,000 for videos like this.
Which means you can build these with AI and sell them to agents for a profit.
This is all done with just listing photos and Calico AI.
Here's how the system works:
→ Pull a Zillow listing and download property photos (exterior, living room, bedroom, backyard)
→ Use Calico to generate a redesigned home in a consistent renovation style (modern flip, luxury upgrade, contemporary reno)
→ Animate the transformation with Veo 3 or Kling 3.0 directly inside Calico — walls update, furniture changes, landscaping appears
→ Generate alternate versions (night shots with ambient lighting, different design styles)
→ Drop the clips into an editor, add music and a realtor contact screen
The result: a cinematic before-and-after renovation video from nothing but listing photos.
Comment "LISTING" and I'll send you the exact prompts and full tutorial I used (must be following so I can DM you).
The Constraint Set is the key mechanic.
Before any CRO fix reaches the output, it's checked against explicit resolution rules:
H1 conflicts? Lead with emotion, embed keyword naturally.
Nav links? Keep them. Reduce visual weight instead of removing.
Internal links? Remove decorative only — never architectural.
Every fix tagged: ✅ SEO-safe · ⚠️ SEO-constrained · 🚫 SEO-blocked
Four phases:
1. Single observation pass (one fetch, both audits draw from the same data)
2. SEO analysis → generates a Constraint Set
3. CRO analysis — every recommendation checked against the Constraint Set before surfacing
4. Unified report