The latest articles on DEV Community by G vishnu vardhan reddy (@vishnu_2004). https://dev.to/vishnu_2004 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3886848%2F7fa1aeff-c529-4961-8a0c-b3734921ecd7.png https://dev.to/vishnu_2004 en G vishnu vardhan reddy Sun, 19 Apr 2026 03:52:43 +0000 https://dev.to/vishnu_2004/deakmind-10jf https://dev.to/vishnu_2004/deakmind-10jf <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8dd5zoapox7p9nrepozw.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8dd5zoapox7p9nrepozw.png" alt=" " width="800" height="400"></a><br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fwmsqh83aqf1n9zmi3am2.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fwmsqh83aqf1n9zmi3am2.png" alt=" " width="800" height="379"></a><br> Inside DealMind AI: How the System Actually<br> Works<br> At first glance, DealMind AI looks like a clean dashboard. But under the surface, it’s built on a<br> layered architecture designed to mimic how humans think through sales problems.<br> It starts with user input—simple questions about a client or deal. That input is then processed by a<br> reasoning engine powered by a large language model.<br> What makes it different is the memory layer. Instead of discarding past interactions, the system<br> stores and retrieves them when needed. This allows it to connect dots across time, something<br> traditional AI struggles with.<br> There’s also a deal intelligence component that extracts structured insights. Rather than giving<br> vague answers, it breaks information into actionable pieces like strategy, risks, and next steps.<br> When everything comes together, the output feels deliberate and focused. It’s not just<br> answering—it’s guiding.<br> From a technical perspective, the combination of reasoning, memory, and structured outputs is<br> what gives DealMind its edge.<br> <a href="https://github.com/billashiva15/DevnovateHackathon/tree/main" rel="noopener noreferrer"></a></p> ai architecture llm rag