At Seattle Tech Week 2025, we hosted a packed Lunch & Learn at AI House with a room full of early-stage founders eager to figure out how to bring their AI ideas to life. The energy in the room was electric—proof that founders are hungry to move from talking about AI to shipping AI.

We shared Hal9’s 3-Stage Playbook for Building AI Products Fast, along with real founder case studies, and left the group with clear, actionable steps to de-risk and accelerate their ideas. Here’s a quick recap:

The 3-Stage Playbook for AI MVPs

Stage 1: No-Code Discovery
​ Before writing a single line of code, validate the problem and your approach.

• Use AI tools (ChatGPT, Claude, Gemini) for idea exploration and prompt prototyping
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• Simulate workflows with no-code tools like Zapier or Typeform
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• Talk to real users, collect early signals, and define your unfair advantage
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Stage 2: Low-Code Prototype
​ Assemble a working prototype you can put in front of users quickly.

• Tools like Bubble, Lovable, Replit, and Retool make it easy to build “real-feeling” apps
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• Connect to hosted LLMs (OpenAI, Groq) to deliver your core AI feature
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• Test with 5–10 users to capture feedback and refine requirements
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Stage 3: First Code → Production
​ Once validated, it’s time to make it real.

• Build a backend (FastAPI, vector stores, LangChain agents)
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• Add authentication, observability, and CI/CD for reliability
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• Launch a private beta to gather usage data and investor-ready proof
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This is where Hal9 shines: our managed platform and expert team let you skip the DevOps and infrastructure headaches so you can focus on your product and your users.

Real Examples from the Stage

We highlighted customer journeys showing how this framework plays out in the real world:

• Reply: A Chrome extension that auto-generates replies for social media. Built in just 6 days, now powering over 4,000 replies/day—with Hal9 handling the backend and scaling.
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• Propio: Enhanced client reporting with AI-powered insights in only a few weeks, turning financial data into meaningful narratives for customers.
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• Greeny: Developed an AI-powered carbon credit computation demo in just two weeks, enabling rapid demos to customers and investors. Hal9 provided a scalable, customizable solution for environmental impact measurement.
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The lesson? You don’t need a big team or months of engineering. With the right framework—and the right partner—you can move fast and deliver results.

Where Hal9 Fits

Hal9 packages the AI product journey as a series of fully managed build sprints:

• Full-service team → Design, build, host, and maintain your AI features
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• Expert support → Prompt design, model selection, observability included
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• You own everything → Your code, data, IP, and roadmap
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• Proven results → ~25 active startups building with us, powering products with 10K users & millions of monthly interactions
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• From chatbots to agentic workflows to full-stack apps
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• Support for both non-technical & technical founders
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Next Steps

If you joined us at Seattle Tech Week—thank you! We'd love to continue the conversation to explore how we can bring your AI MVP to life.

Closing Thought

The founders in our session walked away with a clear map: start small, validate fast, and build confidence at every stage. With Hal9, you don’t need to be technical—or alone—to ship your first AI product.