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Fast Prototyping of GenAI Apps with Streamlit
Intermediate
9h21m
Topics
Chatbots
GenAI Applications
Prompt Engineering
RAG
Search and Retrieval
All right, you've fleshed out your MVP using the map process. Now let's bring in GenAI to help you build. You don't have to do this part alone. Instead of planning everything yourself, you could ask a GenAI model to help you brainstorm features, prioritize tasks, and map out a build plan. This is especially useful when you're short on time or stuck trying to figure out what to build next. Let's look at how one developer used GenAI, not just to code, but to think through their MVP. Meet Priya, an ML engineer at a healthcare startup. She recently built a proof of concept that uses GenAI to extract structured insights from clinical trial PDFs. It kind of works, but the prompts are fragile. The results are inconsistent, and her stakeholders want a polished demo, fast. So she opens the GenAI app and types, Act as a product manager, help me define an MVP for an app that extracts data from clinical trial PDFs. Instead of just jumping into code, Priya collaborates with the GenAI app to walk through the core planning steps. The GenAI app helps her walk through the MVP planning process. End goal. Priya's goal is clear. Reduce the time her team spends on manually extracting data from messy clinical trial reports. Users. Her audience. Clinical operations staff. Non-technical users who currently rely on engineers to run queries for them. What does the working app look like? Her simplest success metric. Did this save you time? Rough estimates are fine early on. No need to over-engineer your KPIs just yet. Prioritize features. With GenAI's help, Priya scopes a basic workflow. Drag and drop PDF upload. LM pipeline to extract and clean the data. Editable table of results. Export to CSV. This isn't a full product. It's a lean and clean prototype. Focused on learning and value. Before she dives into code, Priya gets a few more tips from GenAI to build a better prompt for her first prototype. Be specific. Instead of help me build an app to extract data from PDFs, try I'm building a GenAI assistant to automate the process of extracting data from clinical trial PDFs to extract insights from the data they contain. What core features should the MVP include? Providing context is important because I'm an ML engineer building an internal tool. Gets a very different response than I'm a student building a school demo. Ask GenAI for exactly what type of output you want. Summarize this as bullet points. Generate a step-by-step plan. Create a table of MVP versus stretch goals. Instead of saying help me scope my app, try act as a product manager for an ML team building a GenAI prototype. These small changes shift a GenAI model's tone and structure from generic suggestions to focused collaboration. Now it's your turn to co-create your MVP plan with GenAI. Here's a prompt to get started. I'm new at using GenAI for prototyping. Help me plan an MVP for a streamlined app that loads the CSV, performs sentiment analysis using OpenAI, shows a bar chart of the results, and let users filter byproducts. Tweak it to match your idea. Then try this prompt. Act as a product manager. Help me define an MVP for a GenAI app. Use these principles. Define the end goal. Identify the audience. Choose success metrics. Prioritize core features. Then walk me through each step. What problem are you solving? Who are you solving it for? What would success look like? What are the must-have features? GenAI can act like a coach, helping you clarify goals, trim features, and stay focused on what actually matters. You can even flip it around and have GenAI ask you questions that help you brainstorm and plan. Once you've defined your MVP, ask it to organize features into must-have, nice to have, next version. Before moving on, keep in mind that there are things GenAI is great at helping you with, like creating tedious setup code, brainstorming features, writing queries, recommending architecture, planning and debugging. But you still need a human for picking the right problem, making UX decisions, applying business logic, and validating AI outputs. Now it's your turn. For this first ungraded lab, write a one-to-two sentence description of your GenAI app idea. Use your favorite GenAI tool like Chat2BT, Cloud, or Gemini. Copy-paste the structured prompt shown above. Ask for help defining your MVP. Categorize your features as either must-have, nice to have, or next version. Stretch goal. Ask the AI to run a quick competitive analysis. Document your plan as a one-page summary. In this lesson, you saw how developers like Priya use GenAI not just to build, but to plan. Here, you learned how to treat GenAI like a product strategy coach by giving it a clear context, structure, and roles. Now you're ready to move from blank page to solid MVP plan in minutes. Coming up next, you'll start building your prototype step-by-step using the Avalanche dataset.
