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What if AI had to work on legacy systems, with no APIs, no data egress, and weak hardware? In many real-world enterprise environments, especially across emerging markets, AI systems face constraints that most modern agents are not designed for. There are no APIs. Sensitive data cannot leave the device. Applications are legacy Windows software. Hardware is often low-spec. Systems are shared and tightly regulated. Under these conditions, most AI agents fail โ either technically or from a security and compliance standpoint. The core insight I arrived at was that planning, perception, and execution must be separated, both technically and trust-wise. Planning does not require raw data. Perception does not require cloud intelligence. Execution must remain local and deterministic. This led to a split-state architecture, where on-device vision interprets screen state, a local sanitization layer abstracts sensitive information, and only high-level intent is used for planning. All execution โ and all sensitive data โ remains on the device. The cloud never sees raw screens, identities, or records. To validate this, I built an early prototype system, now called Laryaa aOS. It is an execution platform designed to let AI agents operate inside legacy and regulated environments without APIs or data egress. The architecture was novel enough that a provisional patent was filed around the core execution and sanitization model. This is not an RPA tool, a vertical SaaS product, or a copilot. It is an execution layer for autonomous agents, with the hospital workflow serving only as one proof point. --- Laryaa has recently evolved into Laryaa aOS โ not a single product, but a platform. Laryaa aOS is still early. Weโre building, learning fast, and validating through conversations. At this stage, Iโm: Exploring conversations with a co-founder (tech / product / GTM) Open to early investment discussions (pre-seed) For more details on the architecture, visit https://laryaa.com โ Raju Founder, Laryaa aOS hello@laryaa.com

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If you use AI agents, youโve probably faced these problems. I've explained 5 common issues and how to fix them. 1. ๐๐ผ๐ป๐๐ฒ๐ ๐ ๐๐ผ๐๐ ๐ถ๐ป ๐๐ผ๐ป๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ฉ๐ข๐ญ๐ญ๐ฆ๐ฏ๐จ๐ฆ: AI agents often forget earlier parts of a conversation or
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In the rapidly evolving digital landscape, APIs (Application Programming Interfaces) serve as essential connectors among software applications, enabling seamless communication between systems. However, their accessibility also makes them prime target
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Why AI Automation Breaks in Regulated Environments? Most AI automation tools are designed for cloud-first, API-rich systems. But large parts of the real world donโt operate that way. This insight came directly from trying to deploy AI co-pilots i
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Building Reviv | Ent...ย โขย 1y
WHAT ARE AI AGENTS ? AI agents are software programs that use artificial intelligence to interact with their environment, collect data, and perform tasks. They can be programmed to achieve specific goals, and they can learn from their experiences.
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Every Dream is Worth...ย โขย 11m
๐ซ Al Agents Are Coming-90% Will Fail Without This Key Factor Al agents promise seamless automation and intelligent decision-making, but their effectiveness hinges on one crucial factor: high-quality data. Without clean, structured, and accessible
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Everyone is building agents, but only a small number truly understand what it takes to run them in production. Hereโs the part people usually avoid saying: ๐ ๐ฎ๐ธ๐ถ๐ป๐ด ๐ฎ๐ด๐ฒ๐ป๐๐ ๐ถ๐ป ๐ฑ๐ฒ๐ ๐ถ๐ ๐ฝ๐ฟ๐ฒ๐๐๐ ๐ฒ๐ฎ๐๐. In development, everything
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๐ Hello Startups! IT Engineer Seeking Exciting Opportunities in India ๐ Hey everyone! Iโm Anup Thatal, a software & data engineer with over 3 years of hands-on experience building scalable web apps, APIs, and digital infrastructure โ especially in
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Data scientist, Data analyst, AI engineer, or AI agent builder? Which one is best? I've explained below. 1. ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ This field teaches you how to ๐ฎ๐ป๐ฎ๐น๐๐๐ฒ ๐ฑ๐ฎ๐๐ฎ, ๐ฏ๐๐ถ๐น๐ฑ ๐ ๐ ๐บ๐ผ๐ฑ๐ฒ๐น๐, ๐ฎ๐ป๐ฑ ๐ฑ๐ฒ๐ฝ๐น๐ผ๐ ๐๐ต๐ฒ๐บ ๐ถ
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What is an API? Have you ever ordered food at a restaurant? The internet works in a similar way! An API (Application Programming Interface) is like a waiter - it takes your request, delivers it to the kitchen (backend), and brings back the response.
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