{"product_id":"ai-for-startups-jerome-a-fernandes-9798246177679","title":"AI for Startups: A Practical Guide to Building, Shipping, and Scaling AI Products","description":"\u003cp\u003e\u003cb\u003eFor startups, AI is not a feature - it is a business model decision.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eArtificial intelligence can compress years of execution into months, unlock new pricing models, and create defensible moats from data and workflows. It can also destroy margins, turn products into thin wrappers, and amplify technical debt faster than any previous technology shift.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAI for Startups\u003c\/i\u003e is written for founders, builders, and operators who must move beyond demos and hype to build AI-native companies that scale profitably, defensibly, and safely.\u003c\/p\u003e\u003cp\u003eThis is not a collection of prompts or a speculative vision of the future. It is an execution-grade playbook for designing AI products, choosing the right architectures, governing risk, and turning intelligence into durable business value.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eINCLUDED IN THIS BOOK\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eThe 30 \/ 90 \/ 365 Execution Roadmap: \u003c\/b\u003e A staged maturity guide to move from experimentation to unit-profitable scale and defensible moats.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e12+ Proprietary Strategic Frameworks: \u003c\/b\u003e Decision models including the I.V.R. (Inference-to-Value Ratio), the I.F.R. prioritization matrix, and the C.L.E.P. framework for model selection.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e30+ Operational \"Copy-Paste\" Prompts: \u003c\/b\u003e Practical inputs for founders to stress-test unit economics, red-team security risks, and audit legacy thinking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eThe Complete AI Governance Toolkit: \u003c\/b\u003e Ready-to-deploy templates for model cards, vendor due diligence, acceptable use policies, and data readiness audits.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTechnical \u0026amp; Launch Checklists: \u003c\/b\u003e Step-by-step protocols for fine-tuning readiness, RAG deployment, and security incident response.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eThe Evaluation Metrics Library: \u003c\/b\u003e A rigorous guide to measuring hallucination rates, faithfulness, latency, and token economics - beyond \"vibe checks.\"\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e15+ Deconstructed Case Studies: \u003c\/b\u003e Clear patterns from winners and losers across SaaS, healthcare, logistics, and LegalTech.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWHAT'S INSIDE THIS BOOK\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart I: The Founder's Mental Models\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWhy startups must shift from deterministic logic to probabilistic systems, how AI changes product strategy, and how to find a defensible wedge instead of building features.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart II: Foundations \u0026amp; Mechanics\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eData as a compounding asset, how LLMs actually work, and a clear framework for choosing between prompting, RAG, and fine-tuning.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart III: Strategy, Team \u0026amp; Roadmap\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eHiring maps by stage, feedback loops that create moats, and ruthless prioritization to kill demos that don't compound value.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart IV: Building AI Products\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eFrom discovery and minimum viable AI to trustworthy UX, agent workflows, multimodal systems, and when classic ML still wins.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart V: Shipping, Operating \u0026amp; Scaling\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ePractical stacks, LLMOps, evaluation discipline, security, reliability engineering, and controlling inference economics at scale.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart VI: AI Across Functions\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eApplying AI across marketing, sales, customer success, operations, finance, and engineering without destroying trust or margins.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePart VII \u0026amp; VIII: Business Models, Governance \u0026amp; The Future\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eOutcome-based pricing, investor narratives, regulatory readiness, and preparing for a world of autonomous agents and commoditized intelligence.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIf AI is already part of your product roadmap, this book shows you how to turn it into a moat - not a liability.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eWritten for founders and operators who need AI that survives contact with customers, investors, and reality.\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Jerome A. Fernandes\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798246177679\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/29\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 378\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.11lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.78d","brand":"Jerome A. Fernandes","offers":[{"title":"Paperback","offer_id":50664990179583,"sku":"9798246177679","price":29.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/ai-for-startups-jerome-a-fernandes-9798246177679","provider":"WR Book House","version":"1.0","type":"link"}