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Sri Laasya Nutheti

@n_sri_laasya • 7,025 subscribers

I build AI agents for a living | Grad @Cornell | Prev agents @AgentOpsAI; ML Research @MIT, @IITMadras, and @WeillCornell | @joinodf fellow | Scholar @GHC ✨

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I built a multi-agent framework that pre-approves loan applications in under 5 minutes 🎉 1. Integrated 5 agents that make use of Experian and Plaid APIs for real-time credit and financial verification 2. The agents look up credit score, DTI, LTV, assets, property valuation and income to assess the risk profile of the application 3. Used AgentStack to build the system, and AgentOps 🖇️ for observability Full access in DMs.
1:20
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I built a multi-agent framework that pre-approves loan applications in under 5 minutes 🎉 1. Integrated 5 agents that make use of Experian and Plaid APIs for real-time credit and financial verification 2. The agents look up credit score, DTI, LTV, assets, property valuation and income to assess the risk profile of the application 3. Used AgentStack to build the system, and AgentOps 🖇️ for observability Full access in DMs.

Sri Laasya Nutheti

312,580 просмотров • 1 год назад

we are building at the Y Combinator web agents hackathon this weekend. introducing clawtrace: on-call security for openclaw web agents. openclaw is powerful. but it’s hard to fully trust what your agents are actually doing. that’s why we built clawtrace. clawtrace lets you: - know when your agents go rogue - detect anomalies in behavior - track sessions, tool calls, thinking states here’s how it works:
1:53
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we are building at the Y Combinator web agents hackathon this weekend. introducing clawtrace: on-call security for openclaw web agents. openclaw is powerful. but it’s hard to fully trust what your agents are actually doing. that’s why we built clawtrace. clawtrace lets you: - know when your agents go rogue - detect anomalies in behavior - track sessions, tool calls, thinking states here’s how it works:

Sri Laasya Nutheti

14,165 просмотров • 3 месяцев назад

Big CPG brands like Unilever spend millions running customer surveys just to decide what to launch next. We built simulation agents that think like real people — so you can test product ideas before spending a cent. 🧠 Mirrors real-world preferences, behaviors, and tradeoffs 📊 Responds like an actual customer — with scores and reasoning 🌍 Customizable by any demographic: urban, suburban, rural Test your product ideas with simulations of real people, only way easier, and cheaper. Built with OpenAI’s Agents SDK + AgentOps 🖇️ for full observability. Want access? Comment “Agents” + follow me — I’ll DM it to you.
1:35
n_sri_laasya's profile picture

Big CPG brands like Unilever spend millions running customer surveys just to decide what to launch next. We built simulation agents that think like real people — so you can test product ideas before spending a cent. 🧠 Mirrors real-world preferences, behaviors, and tradeoffs 📊 Responds like an actual customer — with scores and reasoning 🌍 Customizable by any demographic: urban, suburban, rural Test your product ideas with simulations of real people, only way easier, and cheaper. Built with OpenAI’s Agents SDK + AgentOps 🖇️ for full observability. Want access? Comment “Agents” + follow me — I’ll DM it to you.

Sri Laasya Nutheti

36,206 просмотров • 1 год назад

I just replaced my real estate broker with an AI agent. 🏡 Finds properties 💸 Breaks down mortgage options 📍 Explains neighborhoods Found a cute apartment in SF under $0.01. Built using OpenAI’s Agents SDK + AgentOps 🖇️ for real-time visibility into every step your agents take. 👇 Access in the comments!
1:13
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I just replaced my real estate broker with an AI agent. 🏡 Finds properties 💸 Breaks down mortgage options 📍 Explains neighborhoods Found a cute apartment in SF under $0.01. Built using OpenAI’s Agents SDK + AgentOps 🖇️ for real-time visibility into every step your agents take. 👇 Access in the comments!

Sri Laasya Nutheti 🖇️

20,851 просмотров • 1 год назад

I built a real estate assistant that does what agents wish CRMs could. Powered by Google A2A, Gemini and AgentOps 🖇️, it connects to Notion (CRM), email, MLS, and listing platforms—then automates follow-ups, lead research, and marketing. No tabs. No toggling. No busywork.Just one agent. Focused on closing deals. DM for access!
0:42
n_sri_laasya's profile picture

I built a real estate assistant that does what agents wish CRMs could. Powered by Google A2A, Gemini and AgentOps 🖇️, it connects to Notion (CRM), email, MLS, and listing platforms—then automates follow-ups, lead research, and marketing. No tabs. No toggling. No busywork.Just one agent. Focused on closing deals. DM for access!

Sri Laasya Nutheti 🖇️

16,315 просмотров • 1 год назад

Content creators charge $100-$400 for a single blog post— I built a multi-agent system that does it for <$0.01 (yes, less than a dollar) 🎉 3 RAG agents powered by AgentOps 🖇️ & AgentStack: 1. RAGs documents, blog posts, press articles, websites, and GitHub repos for rich context 2. Auto-generates SEO-friendly keywords that rank well on Google 3. RAG chatbots that create a high-level outline and generate content for each section—fully customizable via chat Final SEO-optimized blog post delivered in less than 5 mins 🚀 DM for access.
1:19
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Content creators charge $100-$400 for a single blog post— I built a multi-agent system that does it for <$0.01 (yes, less than a dollar) 🎉 3 RAG agents powered by AgentOps 🖇️ & AgentStack: 1. RAGs documents, blog posts, press articles, websites, and GitHub repos for rich context 2. Auto-generates SEO-friendly keywords that rank well on Google 3. RAG chatbots that create a high-level outline and generate content for each section—fully customizable via chat Final SEO-optimized blog post delivered in less than 5 mins 🚀 DM for access.

Sri Laasya Nutheti 🖇️

13,155 просмотров • 1 год назад

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