
Aakash Verma
@VermaAakash3 • 23,443 subscribers
AI Guy || Encouraging the sharing of AI Insights || AI Tools || 107K LinkedIn Audience
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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 Verma22,889 次观看 • 1 个月前

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 次观看 • 6 个月前

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 次观看 • 5 个月前

🚀 𝐁𝐮𝐢𝐥𝐝 𝐀 𝐏𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐥𝐞 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐯𝐞𝐧 𝐈𝐝𝐞𝐚𝐬 Finding the right business idea can be tough. But what if you had access to 750+ proven ideas based on real success stories? This free database offers: ✅ Ready-to-use business ideas inspired by real-world wins ✅ Weekly updates with 10+ fresh ideas ✅ Categories like AI, home-based, local, micro SaaS, and more 💡 Whether you’re looking for a side hustle or aiming for passive income, you’ll find plenty of ideas to explore. Must Visit - And the best part is it’s live on Product Hunt Support from here - 👉 Now Stop guessing—start building with ideas that work! 💡 #SEOTools #DigitalMarketing #RankTracking #SEOStrategy #WorkSmarter
Aakash Verma31,512 次观看 • 1 年前

🚀 Just tried AgentX and wow. This changes everything. Most AI tools give you one chatbot. AgentX gives you an entire AI team — each agent with its own role, tools, and tasks. No code. No limits. Just results. 💥 👇 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐞𝐝 𝐦𝐞 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭: ✅ Drag-and-drop build multiple Agents in a team (even non-tech people can also build agent orchestration) ✅ Agents can talk to each other and complete complex workflows - each use different LLM ✅ Deploy anywhere: WhatsApp, Slack, Email, IG, and more ✅ 1000+ MCP servers plug and play in one click. Whether you're a startup, a solo maker, or a big company — this is a must-try. 🧠 If you’ve ever dreamed of launching an AI workforce in minutes, start with AgentX. 𝐋𝐞𝐭'𝐬 𝐭𝐫𝐲 𝐀𝐠𝐞𝐧𝐭𝐗 𝐡𝐞𝐫𝐞 - And Guess what AgentX live on Product Hunt 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐇𝐞𝐫𝐞 - #AI #NoCode #AgentX #MultiAgentSystems #FutureOfWork #LLM #AutomationTools #ProductivityBoost
Aakash Verma25,982 次观看 • 11 个月前
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