Aakash Verma
@VermaAakash3 • 27,069 subscribers
AI Guy || Encouraging the sharing of AI Insights || AI Tools || 107K LinkedIn Audience. For Collab Query : [email protected]
Shorts
![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]](https://image.24vids.com/tw-1995730633143058698/amplify_video_thumb/1995730579728596993/img/IHG7rwARSmOlrhwG.jpg)
Videos
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. 👇
Aakash Verma47,691 Aufrufe • vor 1 Monat
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
Aakash Verma40,334 Aufrufe • vor 9 Monaten
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:
Aakash Verma22,910 Aufrufe • vor 4 Monaten
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:
Aakash Verma23,357 Aufrufe • vor 8 Monaten
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