The catch: Running costs blew up in 2026.
Winners use:
- Cheaper/open models for 80% of loops
- Outcome-based pricing
- Extreme niche focus
Want the full stack + 3 hottest niches right now?
Bookmark this and start this weekend.
🧵 7/7
Eric Schmidt: "if you really want to make money, it's easy. found an agentic AI company."
Spoiler: Supply of builders = tiny. Demand = enormous.
Here’s the exact 2026 playbook to build an AI company run entirely by agents + hit $10k/mo
🧵1/7
Step 5: The 2026 twist
Old: 1 prompt → 1 output
New: Agent does → QA checks → if fail, loop back → repeat until done
This is what makes it "employee level" not "chatbot level"
🧵 6/7
Anthropic just dropped the official guide to prompting Claude Fable 5.
And it’s completely different from how you prompt Opus.
3 things you need to know:
1. You can now tell Claude how hard to think.
Set “Effort” to minimal, medium, high, or extreme in your prompt.
Extreme = take your time and think deeply.
minimal = quick answers, no reasoning.
Opus never had this. Fable 5 does. use it.
2. Give Fable 5 the whole problem at once.
Stop breaking your prompts into small pieces. Fable 5 is built to work on long, complex tasks in one go. the more space you give it, the better it does.
3. Your old “be concise” prompts don’t work anymore.
Fable 5 defaults to detailed answers. if you want short responses, you have to say exactly how short. use word limits or show it an example of the length you want.
That’s it. if you’re using Fable 5 with old prompts, you’re getting worse results than you should.
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Study for 30 minutes a day.
Stay consistent for 90 days.
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👇Comment "AI" if you're starting today.
🔁 Repost to help others learn.
🔖 Bookmark this—you'll come back to it.
🚀 Want to get the most out of Claude Cowork?
A simple setup can save hours every week:
✅ Create an ABOUT ME file
✅ Add clear instructions & preferences
✅ Save your best outputs as templates
✅ Let Claude challenge your assumptions
Good systems beat good prompts. 💡
Making a video is easy, making it engaging is hard
so we turned the patterns pros use into HyperFrames skills for agents
now your agent can add the graphics and captions where they belong, based on your message
adjustable to your brand and repeatable
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@AdeKass_II@wisingman@queenhadassah24 Exactly!! Which implies that those bucket lists do not exist for virgins from the Christian worldview. And even if it once existed they are willing and ready to forgo it.
Requirements:
• Strong Python (FastAPI/Django/Flask) + React/TypeScript
• Experience with SQL databases (Postgres/MySQL)
• Knowledge of AWS/Azure, Docker, CI/CD pipelines
Apply: https://t.co/eOfVpekU5M
🔁 Repost to help a developer break into AI
🧵 3/3
🚨 Hiring Now:
Work From Anywhere
A fast-rising startup is hiring a Full Stack Developer to build real-world AI applications 🌍
◽ Employer: Titan AI
◽ Role: Full Stack Developer (AI Applications)
◽ Location: Remote (Worldwide)
◽ Pay: Competitive
🧵 1/3
Responsibilities include:
• Building AI-powered products using LLMs for banking workflows
• Designing scalable backend systems & APIs
• Connecting AI models to web/mobile applications
• Optimizing performance, scalability & infrastructure
🧵 2/3
Hi guys, I built an open-source alternative to @pewbeam_ai in one week.
https://t.co/WwyVRtv8H3
Started coding during a Sunday church service. By the following Sunday, we were using it live during our church service. Wild.
Here's what Rhema does: it listens to your pastor's sermon in real-time, detects Bible verse references as they're mentioned, and displays them on screen instantly. No manual clicking, no dedicated slide operator needed.
The tech stack:
- Tauri 2.0 with a Rust backend handling all the heavy lifting: audio capture, transcription pipeline, verse detection logic, and system tray integration
- Local AI embeddings using Qwen3-0.6B so everything runs on-device with zero cloud dependency. Your sermons never leave your machine
- Real-time audio transcription paired with semantic search against a full Bible verse database
The Rust backend was a deliberate choice. We needed low latency audio processing and efficient memory usage for running an embedding model locally, and Rust delivers on both.
Is it perfect? Probably not. But the core functionality works and we're already using it in a real church environment
This is where you come in. Rhema is fully open source and we need contributors to help take it to the next level. Whether it's improving the verse detection accuracy, adding multi-language support, building a better overlay UI, adding support for more Bible translations, or optimizing the transcription pipeline, there's real work to be done and real impact to be made.
If you're a Rust developer, a frontend engineer, an ML enthusiast, or just someone who loves building tools for the church, come build with us.
Star the repo. Fork it. Open a PR. Let's make this the go-to open-source solution for live Bible verse display in churches worldwide.
https://t.co/WwyVRtv8H3