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Building an AI Product: From MVP to Autonomous Agents in the Era of GenAI
Paperback
Publisher: Independently Published
Published: Jan 25 2026
Pages: 108
Weight: 0.34
Height: 0.22 Width: 6.00 Depth: 9.00
Language: English
Stop building Wrappers. Start building Trusted AI Agents.
In 2016, building an AI product was hard. You needed a PhD in NLP, months of data tagging, and deep pockets just to make a chatbot understand Hello. In 2026, building an AI product is easy. You can spin up a genius-level Agent in an afternoon using an API.
But building a valuable, defensible, and safe AI business has never been harder.
The barrier to entry has collapsed. The market is flooded with thin wrappers that will be obsolete with the next model update. And the risks hallucinations, prompt injections, and deepfakes are existential.
This is not a theory book. This is a field manual from a founder who has done it twice.
Yaron Ismah-Moshe started his journey in the IDF's elite technology unit (MAMRAM). He co-founded Exceed.ai, an AI sales assistant that autonomously engaged leads, cooking the company for five years before a successful exit to Genesys in 2021. Now, he is the founder of Truly, fighting the war on deepfakes and building the trust layer for the internet.
In this completely revised 2026 edition, Yaron dismantles his original playbook and rebuilds it for the Generative AI era.
Inside, you will discover:
The 5-Level AI Framework: How to evolve your product from a Human-in-the-Loop Copilot to a fully Autonomous Agent that can plan, execute, and self-correct.
The Sandwich Architecture The industry standard for safety. Learn how to wrap your LLM in Input and Output Guardrails to prevent confident lies and toxic hallucinations.
Beyond the Chatbot: Why Chat is a weak interface. Learn to build Agentic Workflows that give your AI hands to book meetings, run code, and update databases safely.
The New Lean Startup: Why Rule-Based MVPs are dead. How to use Prompt-Based prototypes to validate ideas in days, not months, and the exact unit economics of moving from API-renting to Model-owning.
Data Moats in 2026: Why Big Data is worthless if it's generic. Learn how to use the Analyst Agent workflow to harvest edge cases and build a dataset that competitors (and OpenAI) can't clone.
Whether you are a Product Manager trying to add AI features without breaking your UX, or a Founder trying to build the next unicorn in a crowded market, this book gives you the blueprint.
The technology has changed. The mission hasn't. It's time to stop playing with prompts and start building a product that solves the Job to be Done.
Scroll up and grab your copy today.
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