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Aakash Verma

@VermaAakash323,443 subscribers

AI Guy || Encouraging the sharing of AI Insights || AI Tools || 107K LinkedIn Audience

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]

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]

284,842 次观看

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 次观看

Generate $15,000/month with 10 Minutes of work. No Scams, Just Automation. 3 Simple Steps To Start:🧵

Generate $15,000/month with 10 Minutes of work. No Scams, Just Automation. 3 Simple Steps To Start:🧵

16,357 次观看

You can make $300/hr working at night if you have: • Wi-Fi • A laptop • Free time Here's Secret side Hustle you can do at night that pay $300/hr Try it now :

You can make $300/hr working at night if you have: • Wi-Fi • A laptop • Free time Here's Secret side Hustle you can do at night that pay $300/hr Try it now :

13,585 次观看

Videos

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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 Verma

22,889 次观看 • 1 个月前

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