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Aakash Verma

@VermaAakash3 • 27,600 subscribers

AI Guy || Encouraging the sharing of AI Insights || AI Tools || 107K LinkedIn Audience. For Collab Query : [email protected]

Shorts

CapCut Black Friday brings 60% OFF Pro and 40% OFF Ultra! Oct 20–30, only on CapCut Desktop. A creative promo needs more than eye-catching visuals. Every cut, sound, and transition should help sell the idea. With CapCut PC, I can bring AI-generated scenes into a multi-track timeline, refine the pacing, and layer effects to turn an initial concept into a polished Black Friday marketing video. From the first draft to the final cut, the creative control stays in your hands. #capcutpc #capcutmarketing #capcutsale #capcutblackfriday

CapCut Black Friday brings 60% OFF Pro and 40% OFF Ultra! Oct 20–30, only on CapCut Desktop. A creative promo needs more than eye-catching visuals. Every cut, sound, and transition should help sell the idea. With CapCut PC, I can bring AI-generated scenes into a multi-track timeline, refine the pacing, and layer effects to turn an initial concept into a polished Black Friday marketing video. From the first draft to the final cut, the creative control stays in your hands. #capcutpc #capcutmarketing #capcutsale #capcutblackfriday

31,035 views

Free afternoon. Plenty of saved ideas. Somehow, no idea what to do. I built Side Quest Jar with Eazo to help me choose a small adventure that fits my time, budget, and energy. Here’s how that thought became an app 🧵

Free afternoon. Plenty of saved ideas. Somehow, no idea what to do. I built Side Quest Jar with Eazo to help me choose a small adventure that fits my time, budget, and energy. Here’s how that thought became an app 🧵

38,602 views

Most AI image workflows still have the same problem: Generate. Download. Open another tool. Upload again. Repeat. Then I found a different way of working 👇

Most AI image workflows still have the same problem: Generate. Download. Open another tool. Upload again. Repeat. Then I found a different way of working 👇

133,105 views

Most multilingual benchmarks evaluate one language at a time, but many people in India switch languages naturally in conversation. So I shared the same sentence with Cartesia and Sarvam, moving from Hindi to English mid-way, just like everyday Hinglish. No translation, just natural code-switching. Here is the comparison.

Most multilingual benchmarks evaluate one language at a time, but many people in India switch languages naturally in conversation. So I shared the same sentence with Cartesia and Sarvam, moving from Hindi to English mid-way, just like everyday Hinglish. No translation, just natural code-switching. Here is the comparison.

62,123 views

Nano Banana Pro is incredible. Pair it with Gamma, and you have a complete creative studio right in your browser. I asked it to "Build a social media strategy for a $1B brand," and it produced a hyper-realistic grid in under a minute. Discover how it works: [Comment “Gamma” and I’ll send you 500 prompts to get started]

284,864 views

This looks way too close to a real mountain bike shoot 👀 The camera movement, POV shots, jumps, landscapes… This is Wan 3.0 on Magnific. And it's currently up to 40% OFF until September 30.

This looks way too close to a real mountain bike shoot 👀 The camera movement, POV shots, jumps, landscapes… This is Wan 3.0 on Magnific. And it's currently up to 40% OFF until September 30.

35,977 views

Creators won’t notice this immediately. But it’s a big shift. Freepik is now Magnific. Not a rename. Not a pivot. Just the platform finally matching the level it already operates at. Here’s what changed 🧵👇

Creators won’t notice this immediately. But it’s a big shift. Freepik is now Magnific. Not a rename. Not a pivot. Just the platform finally matching the level it already operates at. Here’s what changed 🧵👇

61,356 views

Videos

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Robots don’t just need better hardware They need models that understand requests, plan next steps, and keep going until the job’s done. That’s what makes nature will's new physical-world foundation Model Natura-1 interesting

Robots don’t just need better hardware They need models that understand requests, plan next steps, and keep going until the job’s done. That’s what makes nature will's new physical-world foundation Model Natura-1 interesting

121,853 views • 11 days ago

Imagine you’re using FlovaAI to bring the lead character’s SFX makeup to life for the first night of a Resident Evil outbreak. The details and atmosphere turned out insanely cool! Flova makes even the wildest character concepts feel cinematic. 🧟‍♂️🔥 Give the effect a try in Flova:

Imagine you’re using FlovaAI to bring the lead character’s SFX makeup to life for the first night of a Resident Evil outbreak. The details and atmosphere turned out insanely cool! Flova makes even the wildest character concepts feel cinematic. 🧟‍♂️🔥 Give the effect a try in Flova:

36,615 views • 5 days ago

Up to 60% OFF on CapCut Desktop starts Oct 20. Jean Phil is everywhere, and the AI character trend is only getting bigger. So I wanted to try creating my own version of this workflow inside CapCut PC. First, generate the character image with CapCut AI Image. Then bring that character into AI Video and turn a static design into a creative video. The interesting part is seeing the whole process happen in one place: Character creation → Video generation → Final content. A character is just the beginning. The real fun starts when it moves. #capcutpc #capcutmarketing #capcutsale #capcutblackfriday

Up to 60% OFF on CapCut Desktop starts Oct 20. Jean Phil is everywhere, and the AI character trend is only getting bigger. So I wanted to try creating my own version of this workflow inside CapCut PC. First, generate the character image with CapCut AI Image. Then bring that character into AI Video and turn a static design into a creative video. The interesting part is seeing the whole process happen in one place: Character creation → Video generation → Final content. A character is just the beginning. The real fun starts when it moves. #capcutpc #capcutmarketing #capcutsale #capcutblackfriday

35,981 views • 11 days ago

This woman explains in 16 minutes why the way we're teaching kids is broken, and what AI-personalized learning could actually look like. Save it; it's the clearest case for AI in education you'll watch this year.

This woman explains in 16 minutes why the way we're teaching kids is broken, and what AI-personalized learning could actually look like. Save it; it's the clearest case for AI in education you'll watch this year.

103,215 views • 1 month ago

This feels less like AI editing and more like building your own creative engine 👀 Started with a few visuals. And suddenly the workflow started producing cinematic-looking videos like this. 🧵

This feels less like AI editing and more like building your own creative engine 👀 Started with a few visuals. And suddenly the workflow started producing cinematic-looking videos like this. 🧵

118,774 views • 5 months ago

Most AI video tools can generate clips. The real challenge starts after that: - Keeping the same character. - Keeping the same style. - Turning one idea into an actual campaign. After trying Lovart with Seedance 2.5... I think we're entering a different phase of AI creativity. 👇

Most AI video tools can generate clips. The real challenge starts after that: - Keeping the same character. - Keeping the same style. - Turning one idea into an actual campaign. After trying Lovart with Seedance 2.5... I think we're entering a different phase of AI creativity. 👇

47,691 views • 2 months ago

AI agents just got simple. Like really simple. Building AI agents is now accessible to everyone, without the need for coding, complex setups, or a full tech team. A groundbreaking platform is revolutionizing this narrative. Meet Carla Torres the easiest way to build, manage, and scale AI agents. What makes Airia different? It simplifies everything. ✔️ No technical background needed ✔️ Works with any model GPT, Claude, Gemini, Mistral & more ✔️ Enterprise-grade security ✔️ Built for creators, teams & companies Transform an idea into a functional AI agent in minutes. The part that amazed everyone Airia offers 2,500+ pre-built agent templates. Search. Pick one. Customize. No blank screens. No starting from scratch. Just instant value. This is why founders, creators, engineers, and enterprises are enthusiastically joining the Airia Community every day. Why it matters AI agents are shaping the future of work. Airia makes it easy, fast, and secure for anyone to bring AI to life. If AI agents are part of the 2025 vision, this platform is the perfect place to start. 🔗 Explore the Airia Community 2,500+ ready-to-use agents are waiting at #Airia #AIAgents #AIPlatform #AICommunity #AIForBusiness #AgenticAI #NoCodeAI

AI agents just got simple. Like really simple. Building AI agents is now accessible to everyone, without the need for coding, complex setups, or a full tech team. A groundbreaking platform is revolutionizing this narrative. Meet Carla Torres the easiest way to build, manage, and scale AI agents. What makes Airia different? It simplifies everything. ✔️ No technical background needed ✔️ Works with any model GPT, Claude, Gemini, Mistral & more ✔️ Enterprise-grade security ✔️ Built for creators, teams & companies Transform an idea into a functional AI agent in minutes. The part that amazed everyone Airia offers 2,500+ pre-built agent templates. Search. Pick one. Customize. No blank screens. No starting from scratch. Just instant value. This is why founders, creators, engineers, and enterprises are enthusiastically joining the Airia Community every day. Why it matters AI agents are shaping the future of work. Airia makes it easy, fast, and secure for anyone to bring AI to life. If AI agents are part of the 2025 vision, this platform is the perfect place to start. 🔗 Explore the Airia Community 2,500+ ready-to-use agents are waiting at #Airia #AIAgents #AIPlatform #AICommunity #AIForBusiness #AgenticAI #NoCodeAI

40,334 views • 10 months ago

Alright, this one’s worth your attention if you’re building or deploying agents. Future AGI just open-sourced their entire platform and i don’t mean a trimmed-down version. this is the full stack: UI, backend, simulation engine, evals, optimization loop, observability, guardrails, gateway, docs. all in one repo. Apache 2.0. I’ve been putting it through its paces on production agents, and what stands out isn’t just the breadth it’s the architecture. Most of the current “agent reliability” stack is fragmented. tracing lives in one tool, evals in another, guardrails somewhere else. you end up manually connecting dots, and the agent itself doesn’t really improve you just keep patching prompts and hoping for the best. This flips that model. It’s built as a closed feedback loop: simulate failures → evaluate in real time → detect production issues → learn from them → generate fixes → validate against real traffic → check regressions → redeploy → monitor again And when something new breaks, the loop just runs again. no manual glue. The simulation piece is especially strong. instead of static test cases, it generates adversarial, multi-turn conversations based on how your agent actually behaves basically hunting for the exact scenarios where your system fails confidently. ran a few thousand simulations on our side… caught things we definitely would’ve missed. Evals run fast (sub-50ms) across modalities. not LLM-as-judge trained classifiers. guardrails are built-in, not layered on top. observability gives you step-level visibility into reasoning, cost, latency, quality. But the real shift is the optimization loop. Most tools tell you *what* broke. this system actually fixes it, validates the fix, and ensures nothing else regresses. That’s the missing layer. It’s clearly built with production in mind not a research demo. and the fact that it’s self-hostable makes it even more relevant if you’re running serious workloads. If you’ve been duct-taping together infra around your agents, this is probably the closest thing to a unified system i’ve seen so far. Worth checking out. If you're serious about deploying reliable AI agents, this is worth a look: 👉 You can also try it instantly (no setup) via their cloud version:

Alright, this one’s worth your attention if you’re building or deploying agents. Future AGI just open-sourced their entire platform and i don’t mean a trimmed-down version. this is the full stack: UI, backend, simulation engine, evals, optimization loop, observability, guardrails, gateway, docs. all in one repo. Apache 2.0. I’ve been putting it through its paces on production agents, and what stands out isn’t just the breadth it’s the architecture. Most of the current “agent reliability” stack is fragmented. tracing lives in one tool, evals in another, guardrails somewhere else. you end up manually connecting dots, and the agent itself doesn’t really improve you just keep patching prompts and hoping for the best. This flips that model. It’s built as a closed feedback loop: simulate failures → evaluate in real time → detect production issues → learn from them → generate fixes → validate against real traffic → check regressions → redeploy → monitor again And when something new breaks, the loop just runs again. no manual glue. The simulation piece is especially strong. instead of static test cases, it generates adversarial, multi-turn conversations based on how your agent actually behaves basically hunting for the exact scenarios where your system fails confidently. ran a few thousand simulations on our side… caught things we definitely would’ve missed. Evals run fast (sub-50ms) across modalities. not LLM-as-judge trained classifiers. guardrails are built-in, not layered on top. observability gives you step-level visibility into reasoning, cost, latency, quality. But the real shift is the optimization loop. Most tools tell you what broke. this system actually fixes it, validates the fix, and ensures nothing else regresses. That’s the missing layer. It’s clearly built with production in mind not a research demo. and the fact that it’s self-hostable makes it even more relevant if you’re running serious workloads. If you’ve been duct-taping together infra around your agents, this is probably the closest thing to a unified system i’ve seen so far. Worth checking out. If you're serious about deploying reliable AI agents, this is worth a look: 👉 You can also try it instantly (no setup) via their cloud version:

22,915 views • 6 months ago

Help This AI Medical Agent Win a Webby! Vote It delivers real-time expert feedback, reduces human error, and brings life-saving medical education to places most needed. You can help bring global recognition to innovation that saves lives!

Help This AI Medical Agent Win a Webby! Vote It delivers real-time expert feedback, reduces human error, and brings life-saving medical education to places most needed. You can help bring global recognition to innovation that saves lives!

40,940 views • 1 year ago

I just built a finance app without touching code using Replit inside ChatGPT. I typed one line: Replit ⠕, Create a lightweight app that helps users track expenses, categorize spending, and see monthly summaries. Immediately: → The app began building. → Logic + storage were set up. → A working preview appeared inside ChatGPT. Then I refined it by talking: → Add spending categories. → Show monthly breakdowns. → Improve the dashboard. You can: • Start in ChatGPT. • Keep iterating in the same conversation. • Or open it in Replit to publish and scale. It genuinely makes you think: “I could build an app right now.” If you’ve ever had an idea but didn’t know where to start, this removes the friction. 👉 Try it:

I just built a finance app without touching code using Replit inside ChatGPT. I typed one line: Replit ⠕, Create a lightweight app that helps users track expenses, categorize spending, and see monthly summaries. Immediately: → The app began building. → Logic + storage were set up. → A working preview appeared inside ChatGPT. Then I refined it by talking: → Add spending categories. → Show monthly breakdowns. → Improve the dashboard. You can: • Start in ChatGPT. • Keep iterating in the same conversation. • Or open it in Replit to publish and scale. It genuinely makes you think: “I could build an app right now.” If you’ve ever had an idea but didn’t know where to start, this removes the friction. 👉 Try it:

23,392 views • 10 months ago

This guy has literally demonstrated the simplest 11 faceless YouTube niches that can be monetized on YouTube in 2026.

This guy has literally demonstrated the simplest 11 faceless YouTube niches that can be monetized on YouTube in 2026.

10,473 views • 7 months ago

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