Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Most AI tools stop at generating text. The real test is whether they understand systems, workflows, and developers. I tested GLM-4.7 from a builder’s perspective — UI, architecture, apps, and core logic.

Dipti Sharma

30,537 subscribers

122,577 views • 7 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Need to generate images at scale? Use the BudgetPixel API. Create bulk images, test different styles, generate variations, and bring image generation into your own apps, tools, and workflows faster. Perfect for developers, creators, and teams building with AI.

Need to generate images at scale? Use the BudgetPixel API. Create bulk images, test different styles, generate variations, and bring image generation into your own apps, tools, and workflows faster. Perfect for developers, creators, and teams building with AI.

BudgetPixel AI

185,371 views • 24 days ago

Most AI tools generate text and stops at the first answer. Viktor executes & keeps going until the work is actually done. He has a persistent workspace, connects to your actual tools, and performs actions: sending emails, updating CRMs, building apps, generating reports. You don't copy-paste outputs. Viktor does the work end-to-end. 👇 (THREAD 🧵)

Most AI tools generate text and stops at the first answer. Viktor executes & keeps going until the work is actually done. He has a persistent workspace, connects to your actual tools, and performs actions: sending emails, updating CRMs, building apps, generating reports. You don't copy-paste outputs. Viktor does the work end-to-end. 👇 (THREAD 🧵)

Wesley

157,987 views • 1 month ago

Google is making a bet on Vibe Coding tools by making it simpler for non-developers to create apps with AI. Gemini Canvas is soon to get a "Select and Ask" feature for "in-painting" of the selected UI area.

Google is making a bet on Vibe Coding tools by making it simpler for non-developers to create apps with AI. Gemini Canvas is soon to get a "Select and Ask" feature for "in-painting" of the selected UI area.

🚨 AI News | TestingCatalog

54,192 views • 11 months ago

BudgetPixel AI API is now here for developers and builders. You can now use the API to generate images and videos directly from BudgetPixel AI, making it easier to bring powerful AI creation into your own apps, workflows, and products.

BudgetPixel AI API is now here for developers and builders. You can now use the API to generate images and videos directly from BudgetPixel AI, making it easier to bring powerful AI creation into your own apps, workflows, and products.

BudgetPixel AI

238,606 views • 26 days ago

StarVector is out on Hugging Face StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.

StarVector is out on Hugging Face StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.

AK

254,342 views • 1 year ago

Parallel Search + Extract tools in the @Vercel AI SDK make it easier than ever to give AI agents, apps, and workflows access to the most accurate and token-efficient web context. Here's our very own Manvesh demoing a simple implementation of the tools in an AI project.

Parallel Search + Extract tools in the @Vercel AI SDK make it easier than ever to give AI agents, apps, and workflows access to the most accurate and token-efficient web context. Here's our very own Manvesh demoing a simple implementation of the tools in an AI project.

Parallel Web Systems

21,913 views • 8 months ago

Artificial intelligence is increasingly embedded in your workday. Filmed from the perspective of AI glasses, this video follows an intellectual property journalist through routine assignments and workplace scenes, showing how AI tools are applied in real tasks and quietly integrated into daily workflows.

Artificial intelligence is increasingly embedded in your workday. Filmed from the perspective of AI glasses, this video follows an intellectual property journalist through routine assignments and workplace scenes, showing how AI tools are applied in real tasks and quietly integrated into daily workflows.

IPR in China

33,986 views • 5 months ago

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

King

155,637 views • 7 months ago

🚨 Out now: Inside the Robot: Architecture Benchmark Report 1,000 developers share what’s shaping robotics today, from AI-driven systems to real-world deployment challenges. What’s holding the industry back, and what’s next? 🔗

🚨 Out now: Inside the Robot: Architecture Benchmark Report 1,000 developers share what’s shaping robotics today, from AI-driven systems to real-world deployment challenges. What’s holding the industry back, and what’s next? 🔗

QNX News

22,528 views • 2 months ago

2026 is the year of the robot, but developer tools are stuck in workflows similar to 2009 pre-GitHub software workflows. We’re changing that at Tnkr, building workflows so developers can, build, fork, mod/remix, and deploy more robots in the real world! Happy new year !

2026 is the year of the robot, but developer tools are stuck in workflows similar to 2009 pre-GitHub software workflows. We’re changing that at Tnkr, building workflows so developers can, build, fork, mod/remix, and deploy more robots in the real world! Happy new year !

Ayo

44,231 views • 7 months ago

Last week we launched our Superagents. This is the fastest I’ve seen a product grow from 0. A lot of excitement from users, and more importantly – people actually started using it in real workflows almost immediately. We started getting a lot of feedback from how people were actually using it. We shipped 8 things to Base44 Superagent this week. The one I can't stop demoing: Mini Apps is wild. Your agent can now build and show a small working app right inside the conversation. Not text, actual interactive UI with your real data.

Last week we launched our Superagents. This is the fastest I’ve seen a product grow from 0. A lot of excitement from users, and more importantly – people actually started using it in real workflows almost immediately. We started getting a lot of feedback from how people were actually using it. We shipped 8 things to Base44 Superagent this week. The one I can't stop demoing: Mini Apps is wild. Your agent can now build and show a small working app right inside the conversation. Not text, actual interactive UI with your real data.

Maor Shlomo

14,175 views • 4 months ago

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Markandey Sharma

49,777 views • 2 months ago

Destra Network | $DSYNC We’re launching a new series on X to help our community understand the real power of Destra NPC & Primus. Platforms like Clawd have shown how AI can automate workflows and connect tools. But they are primitive But automation is only the first step. What we’re building with NPC & Primus goes much further. This series will cover: • How to use the NPC platform • How Primus thinks, plans, and executes independently • How full systems are built end-to-end by AI • Why native AI infrastructure outperforms simple integrations Most platforms focus on triggering actions. Primus doesn’t just connect apps—it designs logic, writes contracts, deploys infrastructure, and manages execution end to end. Below is a demo of Primus building a decentralized voting system from scratch. No templates, no rigid flows, no hand-holding—just fully autonomous systems. Good tools helped start the movement. NPC is defining the next phase. More episodes coming soon. — Destra Network

Destra Network | $DSYNC We’re launching a new series on X to help our community understand the real power of Destra NPC & Primus. Platforms like Clawd have shown how AI can automate workflows and connect tools. But they are primitive But automation is only the first step. What we’re building with NPC & Primus goes much further. This series will cover: • How to use the NPC platform • How Primus thinks, plans, and executes independently • How full systems are built end-to-end by AI • Why native AI infrastructure outperforms simple integrations Most platforms focus on triggering actions. Primus doesn’t just connect apps—it designs logic, writes contracts, deploys infrastructure, and manages execution end to end. Below is a demo of Primus building a decentralized voting system from scratch. No templates, no rigid flows, no hand-holding—just fully autonomous systems. Good tools helped start the movement. NPC is defining the next phase. More episodes coming soon. — Destra Network

Destra Network

18,244 views • 6 months ago

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

Future Stacked

52,003 views • 3 months ago

SwiftUI: You can chain free and open-source STT, TTS, and LLMs to build voice/vision apps with Core AI. Here is a demo I was experimenting with: - Whisper: Speech-to-text - Kokoro-82M: Text-to-speech - Qwen3-VL 2B: Vision I converted Pocket TTS and VibeVoice to Core AI models and tried with Gemma 4. All is working great.

SwiftUI: You can chain free and open-source STT, TTS, and LLMs to build voice/vision apps with Core AI. Here is a demo I was experimenting with: - Whisper: Speech-to-text - Kokoro-82M: Text-to-speech - Qwen3-VL 2B: Vision I converted Pocket TTS and VibeVoice to Core AI models and tried with Gemma 4. All is working great.

Amos Gyamfi

79,756 views • 1 month ago

Current AI cannot solve difficult, real-world problems. The path to AGI is a focus on improving reasoning systems, multi agent workflows, and coordination.

Current AI cannot solve difficult, real-world problems. The path to AGI is a focus on improving reasoning systems, multi agent workflows, and coordination.

Sentient

13,067 views • 5 months ago

Elon Musk: In 5-6 years, the phone becomes an AI edge node — basically a screen and audio "no apps, no operating systems" a cloud AI talks to your on-device AI, generating real-time video you'll get everything through AI that anticipates what you want

Elon Musk: In 5-6 years, the phone becomes an AI edge node — basically a screen and audio "no apps, no operating systems" a cloud AI talks to your on-device AI, generating real-time video you'll get everything through AI that anticipates what you want

Haider.

1,024,800 views • 9 months ago

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

Tanvir

18,160 views • 3 months ago

> 20 free daily tokens covers a full working session on GPT 5.5 or GLM > Opus 4.7 handles 2-3 serious architecture tasks per day at zero cost > one GitHub account can link to multiple Tembo accounts, the math on that is obvious > 5 minutes to sign up. 10 minutes to your first merged PR > no clarifying questions, prompts have to be precise, the agent just executes > the $100/month tools and the $0 tool are now producing the same output on most tasks and most developers haven't noticed yet this is not a discount → this is the same models → the same → capability → the same output → for nothing!

> 20 free daily tokens covers a full working session on GPT 5.5 or GLM > Opus 4.7 handles 2-3 serious architecture tasks per day at zero cost > one GitHub account can link to multiple Tembo accounts, the math on that is obvious > 5 minutes to sign up. 10 minutes to your first merged PR > no clarifying questions, prompts have to be precise, the agent just executes > the $100/month tools and the $0 tool are now producing the same output on most tasks and most developers haven't noticed yet this is not a discount → this is the same models → the same → capability → the same output → for nothing!

Shadow Nick

26,539 views • 2 months ago