https://t.co/fcIHirfk8U can now summarize casual reasoning out of your learning contents. This will help users to study and challenge logic reasonings, thus improving pattern detection & gap analysis. P.S. Here is one example i did based on a Reddit post for Stripe dispute.

Drowning in content? Good. Now learn only what matters. Most content should be ignored. Some deserves a follow-up. Old tools make it hard to find, track, and actually learn it. Introduce SaveForLater Learning Dashboard. #KnowledgeWork #AIProductivity #Founders #LifelongLearning

Your Beautiful Dashboard with Flying Agents: - Your AI Squad🫡 Let's have some fun. - Droppy: Just drop the link like it's hot! I'll handle the rest 💅 - Viby: Need help finding your saves? I gotchu fam 🤗 - Glimmer: Ready to learn smartly? Let's get deep! 🧠 #ai #aiagent

Finally, you want a "Context-aware Framework" and ready to apply into your work & life. Go for it! 😍

"Context-aware Concepts List", enjoy it!

"Punchy Vibe Post" to help you remember better:

Enhanced "Posts Creation" feature today: 😎 In https://t.co/HWbKLjPzLd, for every insight point, you can now enjoy 3 posts to continue deep dive - share a punchy post about this insight - understand better about key concepts - try a context-aware framework & see POC plan #ai

cooking a new feature for https://t.co/HWbKLjPzLd coming soon to production. From your favorite youtube, we create insights. From digestible insight, we create inspirations. Enjoy premium "Inspiration Posts" grounded by your favorite insights. #ai #aitool

Context Engineering = The New Data Engineering? Think about it. 🤔 Prompt is the new query. Context is the new schema. And retrieval is the new SQL. In that world, context engineers are like the ETL pipeline designers of AI behavior. #context #AI #PromptEngineering

Introducing https://t.co/HWbKLjPzLd We believe your attention deserves better than tiktok. Our debut June 2025: Turn any YouTube video into a vibey insight map. Skip the fluff, spot the signal, and explore visual insight map that help you learn faster and remember more. #ai

Visual Language. Camera Angle Concepts.

Skills are the new currency—but mastering them isn’t just about learning more. The world needs "Skill Intelligence". - Skill Alignment - Skill Evaluation - Skill Assessment The best learning is SELF-LEARNING. My AI Music - Level Up. Enjoy it. https://t.co/vcUJOIyWji

This GenAI App is so fun. UX design is great! My prediction: We all need "Roll The Dice" feature. :) #genAI

Stanford University just released free online courses. No payment Required. Here are best courses you don't want to miss in 2024:

"I really want to get into a play mode, fast. " Then, maybe we can think boldly here: - Let's say "goodbye" to the data management. - Instead, enter the new world: let the agent play. - It is all about getting right agent into play session with proper mode.

Agents could progress through stages such as “New,” “Learning,” “Mature,” and “Specialized” based on cumulative performance and user feedback. These stages could guide when and how to retire, retrain, or clone an agent for new scenarios. 👉 Agent Lifecycle Management

Using TraceRun data, the system could automatically suggest new agents based on projections—essentially, “if you continue to prompt in this way, here’s a potential agent profile.” 👉 Auto-Setup of New Agents from Trace

Provide a dashboard where users can view each agent’s historical performance, core characteristics, and evolution over time. This would include timelines, major behavioral shifts, and any significant changes in prompt-response dynamics. 👉Dashboard For Agent Performance

Use time-series data to observe how each agent's responses change over time or adapt to new prompts and models. Agents can contribute "memory" of their past performance and adjust accordingly, creating a natural progression in their capabilities. 👉 Agent Evolution Over Time

Second, each emerging agent (from pattern analysis) could be given a distinct profile—essentially a name and character based on its interaction history. It could include preferred prompts, typical responses, and any performance metrics with use cases. 👉 Define Agent "Profiles"