Free Download AI Native Product Discovery & Prototypes using Google Gemini
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 20m | Size: 2.87 GB
A 7-step framework to build your next product idea & deploy a live prototype in under an afternoon
What you'll learn
The AI Native Rapid Prototype Framework to test your next prototype idea in an afternoon
Understand how you can build your own startup or product using industry product discovery & development lifecycle principles
Transform Google Gemini into your product, engineering & design team to deliver a base prototype
Execute and analyze deep research reports and associated product documents like briefs, concept & requirement docs
Requirements
Knowledge of vibe coding and programming is recommended (in case you get stuck)
Basic knowledge of software and building products or basic prototypes is recommended
Description
Congratulations! You found it.The targeted guide to AI Native Rapid Prototyping using Google Gemini - from manual labor to strategic orchestration. This course shifts you from the role of a "Prompter" to a Director: orchestrating a stack of Gemini agents to research, synthesize, and execute for you.This is a 2-hour roadmap designed for AI assisted product discovery using core principles. By using AI Native Rapid Prototyping, you accelerate your testing-taking a raw voice note and turning it into live micro-app in just a single afternoon.Get Instant Access to the Discovery Starter Pack:The "Prompt Library" PDF: High-signal prompts for creating Product Briefs, Product Concepts, and Go/No Go ScorecardsThe AI Native Rapid Prototyping Framework: A 7-Stage visual framework from Ideation to Continue or Kill.30 Day Money Back GuaranteeThe Roadmap
HASE I: THE "DIRECTOR" MINDSET & IDEATIONThe NLI Paradigm: Moving from GUI-based interactions to the Natural Language Interface.The ReACT Framework: Understanding how LLMs breakdown problems through Reasoning and Acting (Thought → Action → Observation).The Art of the R.A.M.B.L.E.: A structured framework to turn raw thoughts into a "High-Signal" Product Brief without self-editing.PHASE II: GROUNDING & VALIDATIONDeep Research: Instructing Gemini how to scrape relevant venues on the internet to use as secondary and proxy materials for initial customer discovery.The Critical Architect: Use Gemini to play devil's advocate and build a Go/No-Go evaluation through four critical risk lensesPHASE III: AGENTIC BUILD & DEPLOYMENTFirebase Studio (Project IDX): Use Google's new AI-powered, cloud-based development environment to generate a base MVP.The Feedback Loop: Ask Gemini how to scout and find your next users and potential customers for your prototypeDeploy a Live Micro-App: Move from a "napkin sketch" to a live URL using Firebase Studio and "vibe coding" techniquesThis is it. Stop guessing. Start directing. Build your prototype this afternoon.Can't wait to see you in the course.RobertDisclaimer: The information provided by the instructor in this course is provided for general informational purposes only. All information in this course is provided in good faith, however we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability or completeness of any information on the Site. UNDER NO CIRCUMSTANCE SHALL WE HAVE ANY LIABILITY TO YOU FOR ANY LOSS OR DAMAGE OF ANY KIND INCURRED AS A RESULT OF USE IN THIS COURSE OR RELIANCE ON ANY INFORMATION PROVIDED ON THE SITE. YOUR USE OF THE SITE AND COURSE AND YOUR RELIANCE ON ANY INFORMATION IN THIS COURSE IS SOLELY AT YOUR OWN RISKWho this course is for
Prospective Startup Founders: Validate and de-risk your next idea in a single afternoon.
Entrepreneurs: Stop manual drudgery and start directing AI agents
Internal corporate teams looking to build their own internal products or infrastructure
Corporate Teams: Build internal prototypes and infrastructure with minimal friction
Product Managers: Transition from traditional requirements gathering to agentic synthesis
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