AI Venture Builder — From Idea to Working MVP | Masterclass & Workshop

AI Venture Builder — From Idea to Working MVP | Masterclass & Workshop Date & Time: September 12, 2026 at 9:00 AM (Pacific Time) Venue: 123 Main St Join us for an in-person Masterclass & Workshop focused on transforming your AI ideas into a functional Minimum Viable Product (MVP). This event offers a comprehensive, hands-on experience designed to guide you through the essential steps of building an AI venture from concept to execution. What You'll Explore Part 1 — Understanding the AI Opportunity Start with the fundamentals and understand where AI is creating practical opportunities today. Topics include: The current AI landscape Generative AI and its business applications AI opportunities for entrepreneurs AI for professionals and small businesses Identifying problems that AI can help solve Moving from an idea toward a viable AI product Setting objectives for your AI project Part 2 — Prompt Engineering & Generative AI Learn how to communicate effectively with modern AI systems and get more useful, structured outputs. Explore tools and concepts including: Prompt engineering fundamentals Building better prompt structures AI assistants Gemini Claude Perplexity Groq Mistral DeepSeek Generating business documents Creating marketing and product content Research and idea development AI-assisted planning and analysis You'll explore how different AI tools can support different stages of building and operating a business. Part 3 — AI Agents & AI Employees Move beyond basic chatbots and explore the growing world of AI agents. Topics include: What AI agents are AI assistants vs. autonomous agents AI employees and digital workers Agent-based workflows Extensions and plugins Connecting AI with business tools Customer-support agents Research agents Marketing assistants Sales-support agents Operations assistants Practical business use cases See how AI agents can perform multi-step tasks and support everyday business operations. Part 4 — Workflow Automation Discover how repetitive processes can be transformed into automated AI-powered workflows. Topics include: Workflow automation fundamentals Connecting AI tools Automating repetitive tasks AI-powered business processes Lead management Customer communications Research automation Content workflows Administrative automation Productivity systems AI integrations and automation platforms The goal is to identify processes that can be simplified, accelerated, or partially automated with AI. Part 5 — AI at Work Explore practical ways AI can improve everyday professional and business workflows. Applications may include: Productivity: Use AI to accelerate research, planning, documentation, communication, and repetitive tasks. Creativity: Explore AI-supported images, videos, presentations, documents, concepts, and other creative assets. Marketing: Use AI for campaign concepts, content development, audience research, and marketing workflows. Sales: Explore lead research, outreach preparation, sales support, and customer communication. Operations: Identify processes where AI and automation can reduce manual work. Business Strategy: Use AI to research markets, evaluate ideas, structure information, and support decision-making. Part 6 — Build Your AI Startup Idea The final section focuses on turning AI capabilities into potential products and business opportunities. Explore startup and Micro-SaaS concepts across areas such as: AI customer-support tools AI business assistants AI productivity applications AI marketing tools AI sales assistants E-commerce AI FinTech AI Healthcare AI Legal AI assistants InsurTech applications Smart-home AI Smart-farming applications Security AI Education technology Real-estate AI HR and recruiting tools Content-generation platforms Data-analysis assistants Research tools Gaming and XR applications Industry-specific AI assistants You'll consider how an idea can move through: Problem → AI Solution → Target User → MVP → Testing → Launch From Zero to MVP A core focus of the workshop is understanding how to move from an early idea toward a simple, testable product. You'll explore: 01 — Identify Find a real problem or inefficient workflow that could benefit from AI. 02 — Validate Define the target user, use case, and value proposition before investing heavily in development. 03 — Build Explore AI tools and workflows that can help create an early MVP. 04 — Automate Identify processes that can be handled by AI agents and automation. 05 — Test Gather feedback and determine whether the solution solves a meaningful problem. 06 — Launch Consider practical ways to introduce, improve, and potentially monetize the product. No-Code / Low-Code MVP Stack To support the promise of moving from idea to working MVP without advanced coding, the workshop introduces a practical no-code and low-code toolkit for designing interfaces, building product logic, connecting data, and automating workflows. The exact tools used may vary depending on the project, but the core stack includes: Product Interface & Frontend Bubble — Build web applications with visual workflows, databases, user accounts, and business logic. FlutterFlow — Create responsive web and mobile app interfaces with visual development tools. Softr — Turn databases and structured data into client portals, internal tools, directories, and lightweight web applications. v0.dev — Generate frontend interfaces and application components from natural-language prompts. Framer — Create polished landing pages and early product websites for testing demand and collecting sign-ups. Workflow Automation & Integrations Make — Design multi-step automations that connect AI tools, databases, forms, email, CRM systems, and other business applications. Zapier — Build straightforward trigger-and-action workflows for lead capture, notifications, content operations, and business administration. n8n — Explore flexible workflow automation for more advanced integrations, API connections, and AI-powered processes. AI-Assisted Development Cursor — Use an AI-powered code editor to generate, explain, modify, and troubleshoot code when a project requires more customization. Replit — Prototype and deploy simple applications with AI-assisted development and browser-based tools. GitHub Copilot — Explore AI-assisted coding for participants who want to move from no-code tools toward more customizable product development. Data, Backend & Collaboration Airtable — Manage structured product data, content, leads, workflows, and lightweight databases. Google Sheets — Use spreadsheets as an accessible data layer for early prototypes and operational workflows. Notion — Organize product requirements, research, documentation, and internal knowledge. Supabase — Explore a scalable backend option for authentication, databases, storage, and application data. Firebase — Understand how a managed backend can support authentication, databases, hosting, and app functionality. AI Models & APIs OpenAI API Anthropic API Google Gemini API Perplexity API Groq API OpenRouter These tools may be used to add AI capabilities such as text generation, summarization, classification, research assistance, chat interfaces, document processing, and workflow automation. Example MVP Workflow A typical project may follow a workflow such as: Idea → Landing Page → User Form → Airtable or Supabase Database → Make/Zapier Automation → AI Model → User Notification or Dashboard Participants will learn how to choose the right tool based on: Product complexity Speed of prototyping Budget Required integrations User experience Data requirements Scalability Technical confidence The objective is not to master every platform, but to understand how these tools can work together to create a functional, testable MVP.