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When it launched, people used it for things they didn’t expect. Chatbots. Internal tools. Dashboards. Removing friction didn’t just make them faster, it revealed new demand. Lesson four: speed exposes new needs.
TOOLS
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Speed Reveals Hidden Demand and Unexpected Use Cases
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Modular System Architecture: API, Authentication, AI Agents, and Chatbots
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Next came structure.
They broke the system into modular building blocks:
API builder for REST, GraphQL, and webhooks
Authentication with Google, JWT, and social login
AI agents for automations and integrations
Chatbots that deploy anywhere
Each piece was self-contained but -
Build the Backend First, the Interface Later
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— Groq Inc (@GroqInc) 28 novembre 2025
They built the interface last.
Instead of starting with UX, they built a backend that could generate its own endpoints and deploy automatically.
Then they added a simple layer: “Describe what you need.”
The prompt became the config.
Lesson three: build for what users want… pic.twitter.com/8SbeYRloIUThey built the interface last. Instead of starting with UX, they built a backend that could generate its own endpoints and deploy automatically. Then they added a simple layer: "Describe what you need." The prompt became the config. Lesson three: build for what users want
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Neurana: Converting Plain Language Descriptions Into Running Software
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So they asked a dangerous question:
“What if describing an app was enough to build it?” That question became Neurana, a system that turns plain language into running software. -
Designing Effective Toolsets for LLM-Based Agents
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One of the biggest challenges with using agents today is figuring out how to provide the LLMs with a toolset that it understands how to use accurately, is not overly broad, and enables meaningful tasks to be completed. After testing out various approaches, we have found a use
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Deep Agents Weekly Roundup: Resources for Complex Task Automation
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🚀 Deep Agents: The Weekly Roundup 🚀 Dive into our new resources to help you build Deep Agents capable of handling complex, long-running tasks. ✏️ Context engineering is key to reliable agents. Deep agents need detailed context and prompts, and filesystems can help manage that context. We wrote up some strategies for using filesystems to improve agent reliability. Read the blog: blog.langchain.com/how-agent… 🤷♀️ What are Deep Agents? – We break down the key things to know when you’re building an agent to handle more complex tasks. Watch the video: piped.video/watch?v=IVts6ztr… ⚽ Using Skills with Deep Agents CLI – Agent skills are now available in the Deep Agents CLI, enabling you to use the large and growing collection of public skills with your agents. Watch the video: piped.video/Yl_mdp2IiW4/?utm_me… & blog: blog.langchain.com/using-ski… 📚 LangChain Academy Course – If you’re not sure how to get started, our free LangChain Academy course covers the four features that set Deep Agents apart: planning, file systems, sub-agents, and prompting. By the end, you'll design, implement, and deploy your own. Enroll now: academy.langchain.com/course…
→ View original post on X — @marcusborba, 2025-11-28 18:49 UTC
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Getting Started with AI in 2026: Complete Tutorial to Not Be Late
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How to start AI in 2026? Here is the complete tutorial → https://youtu.be/lOkO9nOyem0 You are not late. Not yet, but don't wait. #ArtificialIntelligence #ChatGPT #Gemini3 #AI
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Claude Scientific Skills: Open-Source AI Research Assistant Platform
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Claude Scientific Skills. Turn Claude into your AI research assistant capable of executing complex multi-step scientific workflows across maths, biology, chemistry, medicine, and beyond. 100% open-source (123+ skills).
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Veo Preferred Over Flow for Text-to-Video Generation
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Def prefer Veo for text/img to video. Flow doesn’t have video to video yet.
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MongoDB AI Resources: From Local Prototypes to Real-World Production
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This is a goldmine of AI resources by MongoDB!
— Akshay 🚀 (@akshay_pachaar) 28 novembre 2025
(free and geared towards real-world AI engineering)
Building AI prototypes locally is fun.
You can experiment quickly, push code, and try out different models with almost zero setup.
Building AI for real users is where things get… pic.twitter.com/rFRBrokFjWThis is a goldmine of AI resources by MongoDB! (free and geared towards real-world AI engineering) Building AI prototypes locally is fun. You can experiment quickly, push code, and try out different models with almost zero setup. Building AI for real users is where things get