AI-Assisted Prototyping

After Deepak’s AI course I built my first product entirely by myself, no team, just AI tools: a credit-card platform on Lovable, Supabase and Chatbase, live for under $60. Any idea keeping me up at night is now a few weeks from reality.

Before this course I felt anxious about using AI tools. After it, I’m confidently exploring them and have already built a couple of simple AI-powered apps. Each week was a hands-on session with tools like Lovable, Bolt and Chatbase, no fluff.

As someone from a non-tech background, app development always felt overwhelming. After this course I turned my peer-to-peer car-sharing idea into a working prototype in Lovable with a few well-crafted prompts. AI eliminated the technical barrier.

This course reshaped how I think about speed, risk and decision-making in AI-first products. It wasn’t about tools, it was about how to think as a PM in the AI era, from choosing the right prototyping approach to designing chatbots and agents with real risk awareness.

I learned how prototyping evolved from paper sketches to prompt-driven prototypes, and built an AI prototype with v0. It delivered a working UI in minutes, editable design systems and all, and I was one click from publishing.

One month into fatherhood I built Tiny Quest, a zero-cost early-learning platform for Indian parents that turns household items into activities. Thanks to Deepak and pmcurve for breaking the barrier to learn AI.

A great hands-on understanding of how fast AI prototyping is evolving, from idea to working product in no time. I explored Bolt, v0 and Lovable and even built my first GitHub repo. The journey from frontend to backend to agentic AI, with a focus on real-world constraints, made it extremely practical.

Highly relevant to my day-to-day as a Senior PM at a startup. It gave me real insight into building fully functional apps with prompting, and the chatbot and AI agent coverage was an excellent complement.

Incredibly practical and accessible. What stood out was Deepak’s simplicity of language and the structured, hands-on approach, which made complex AI prototyping easy to understand and apply. I’d recommend it to any PM looking to turn ideas into working prototypes.

A masterclass in AI-assisted product development, turning a simple UI concept into a functional end-to-end full-stack app. Hands-on demos with Bolt, Replit, Lovable and LangChain, plus techniques to minimize LLM hallucinations, really sharpened my technical perspective.

Even doing it a little late, the material was still relevant, especially the agents-and-workflow part: how a good workflow leads to good agents, how to identify strong internal use cases, and how to set real guardrail metrics. A 10/10 for anyone wanting to grow in this space.

The title is almost a misnomer, this goes well above basic AI prototyping into evaluating how to build AI products. I loved the frameworks around agentic AI and deciding whether something should really be an AI use case.

At the NCR Hackerhouse in Delhi I built a full-stack fitness tracker using Lovable and Supabase, with help from pmcurve’s free AI-building lessons by Deepak Singh.