OpenAI, Google, and Anthropic just published guides on:
• Prompt engineering
• Building agents
• AI in business
• 601 AI use cases
9 of the best guides you can't miss:
This GitHub repo can make money while you sleep.
No joke.
Twitter bots
YouTube Shorts automation
Affiliate marketing
Open-source.
https://t.co/zOEGU2aJpK
Stop saying AI can't design.
Cursor + Opus 4.5 just helped me build a landing page with scrollytelling animations in under 10 mins that designers charge thousands for.
If your landing page still looks like a 2010 app, that's not an AI problem. That's a workflow problem.
🚨 ByteDance (the company behind TikTok) just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself.
It's called DeerFlow.
Give it a task that would take you hours. It breaks it down, spawns sub-agents, and delivers the finished result.
Not a chatbot. Not a copilot. An AI employee with its own computer, filesystem, and memory.
Here's why this is different from every other AI agent:
It has its own sandbox. A real isolated Docker container with a full filesystem. It reads files, writes files, executes code, runs bash commands. It doesn't just suggest things. It actually does them.
No other agent framework gives the AI its own actual computer.
Here's what it can do out of the box:
→ Deep research across the entire web with cited sources
→ Generate full reports with charts and analysis
→ Build complete websites and web apps
→ Create slide decks from scratch
→ Generate images and videos
→ Run Python scripts in its sandbox
→ Spawn sub-agents that work in parallel on different parts of a task
→ Remember your preferences, writing style, and workflows across sessions
Here's how it handles complex tasks:
You say "Research the top 10 AI startups in 2026 and build me a presentation."
DeerFlow's lead agent breaks that into sub-tasks. One sub-agent researches each company. Another collects funding data. Another finds competitor analysis. They all run in parallel. Results converge. A final agent builds the slide deck with generated visuals.
One prompt. Multiple agents. Complete deliverable.
Here's the wildest part:
It started as a simple deep research tool. Then the community started using it to build data pipelines, automate content workflows, spin up dashboards, and create full applications. ByteDance realized it wasn't a research tool anymore. It was a SuperAgent harness. So they rewrote it from scratch.
DeerFlow 2.0 hit #1 on GitHub Trending on launch day.
Works with GPT-4, Claude, Gemini, DeepSeek, Ollama, or any OpenAI-compatible API.
Skills load progressively. Only what the task needs, when it needs it. No context window bloat.
22.7K GitHub stars. 2.7K forks. 1,531 commits. Hit #1 on GitHub Trending.
100% Open Source. MIT License.
🚨 BREAKING: Someone just open-sourced a tool that optimizes your website for AI search engines.
It’s called geo-seo-claude. It optimizes any website for AI search engines like ChatGPT, Perplexity, and Claude.
→ Runs full GEO audits with parallel subagents
→ Delivers 60-second visibility snapshots
→ Analyzes structured schema markup for LLMs
→ Exports complete PDF reports
100% Open-Source.
BREAKING: Someone just dropped the ultimate startup toolkit for free.
It's called Founders Kit and it has every resource a founder needs to go from idea to IPO.
Paul Graham essays. YC courses. Pitch deck examples. Fundraising guides. 200+ tools across design, analytics, automation, and marketing.
No paywall. No newsletter gate. No BS.
100% Open Source.
MIT released a devastating number.
95% of all corporate AI projects are failing.
Because nobody knows how to install it.
@mcuban says this is the biggest job opportunity since the personal computer.
Cuban built his first fortune doing one thing:
Walking into offices in the 1980s and showing people who had never touched a computer how to use one.
He says the exact same thing is happening right now with AI.
Except the gap is even bigger.
There are 33 million companies in the United States.
30 million of them are one person operations.
Millions more have under 500 employees.
No AI budget, team or strategy in place and they are completely in the dark.
MIT looked at generative AI inside big companies and the numbers are insane.
Most have AI initiatives and run pilots.
Almost all fail to deliver real business results.
Because nobody knows how to wire them into actual workflows.
Cuban’s advice to his own kids, ages 15, 19, and 21: Learn to implement AI,
Walk into a shoe store , law firm or a trucking company.
Show them exactly what AI does for their specific business.
That is the big opportunity now.
Ideas come quick. 💡
Going live with them? Not always. ❌
So, we built a library of 25,000+ landing page templates for startups, portfolios, restaurants, fashion brands, travel sites and more.
No designer? No budget? No problem.
Choose one. Make it fit for your needs. Go live! 🚀
Check them out, here: https://t.co/pAhR91us7R
#Rocket #VibeSolutioning