44 stories
Most AI tutorials show you a chatbot demo. This video shows you how that demo actually becomes a production system inside a bank — one component at a time, with the real engineering reasoning behind each addition. We start with 3 boxes: a chat UI, an agent, and an LLM.
An AI agent team can fully automate customer onboarding - from intake and CRM setup to Slack welcome and follow-up - without a single developer.
Point tools handle one step. A Mindra agent team handles all of it - research, personalization, sequencing, approval, and CRM sync.
Everyone seems to have an AI roadmap. Watch these courses. Learn these frameworks. Follow this path. But after building AI applications, interviewing engineers, and working with AI in production, I've realized that many people are focusing on the wrong things.
AI agents can take real actions across your business tools. Here is how to decide which actions run automatically and which need a human sign-off first.
AI ops sounds like a heavy, year-long lift. It does not have to be. Here is how to adopt a governed AI department in stages, starting with one flagship workflow that goes live in weeks.
Everyone seems to have an AI roadmap. Watch these courses. Learn these frameworks. Follow this path. But after building AI applications, interviewing engineers, and working with AI in production, I've realized that many people are focusing on the wrong things.
View all Projects: https://www.youtube.com/playlist?list=PLN6lWsI6DyWSb-LB-mZFCdsIVPuf9EMxA In this video, we build a real Agentic AI application that connects directly to AWS and manages cloud resources through natural language.
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