@supertommy@ollama Was thinking I'm just the one noticing this:
-I reached 50% of my weekly usage by just using glm-5.2 for 3 sessions in Ollama Cloud, this is about 600 requests.
-For reference, I have been using more than 4000 requests for DeepSeek for just 10% of the weekly limit.
@ollama
SEO isn’t enough anymore. Buyers are asking ChatGPT, not Google.
If you want your brand recommended by AI, think Answer Engine Optimization (AEO):
✅ Write niche, specific content
✅ Use tables & lists AI can parse
✅ Build “surround sound” with reviews/case studies
✅ Show up on Reddit
Old SEO = clicks.
New SEO = AI mentions.
Your MVP isn’t your masterpiece. Why cling to a rough draft?
1. It’s a test, not the goal
-Airbnb’s MVP lacked payments, maps
-Twitch was one guy’s livestream
2. Pivot fast, learn faster
-Stripe’s “devpayments” API evolved
3. 80% of startups fail by Year 5 (CB Insights)
Lesson: Your MVP is a stepping stone. Embrace change to build something timeless.
#LEEEVE #WWERaw Naomi Ukraine Tarkowski #ValeTudo
Here are a couple of real world examples where I’m using agents -
1. Compliance. In most regulated industries content must be reviewed and approved before it is published online. This is typically done by lawyers. It’s expense, slow, and creates a massive bottleneck limiting personalization. Our agents perform a complete review, along with an audit trail, and suggested improvements while keeping a human in the loop. Review cycles have dropped by 95% from weeks to minutes.
2. Using agents we are bringing training to life. Hundreds of hours of video training courses are now completely interactive. Students can probe the material in new ways, test their knowledge, and ask questions outside of the boundary of course from hand picked reliable sources. Leaning has changed from linear sequences to dynamic and interactive.
3. Inside the enterprise executives have struggled to use their data for decisions and insights. The data is siloed, incompatible, and poorly understood. Data catalogs have been built to help solve this problem but they are still failing because the data is still inaccessible by those who need it. With agents we enable executives to ask any question they want, across any data silo and get answers in minutes instead of waiting for expensive specialists to build dashboards. Insights are delivered in the board room.