Case Studies & Articles
Field notes from production GenAI work
Case studies and write-ups from real GenAI engagements, spanning marketplaces, real estate, customer support, insurance, and retail, covering what worked, what didn't, and the guardrails that mattered.
Case Study #1
⚡️ LLM-Driven Data Pipeline Innovation for Electric Parts Marketplace
How an LLM-driven data pipeline standardized and enriched product data for an electric parts marketplace, cutting manual catalog effort while improving search and match quality.
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Red Teaming in a GenAI-Powered Real Estate Application
A red-teaming exercise on a GenAI-powered real estate application: the attack scenarios probed, the vulnerabilities surfaced, and the guardrails put in place before launch.
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Chatbot Divergence: Success vs. Failure in Customer Support Automation
A side-by-side look at two customer-support chatbot rollouts, one that succeeded and one that failed, and what separated them in design, scope, and evaluation.
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GenAI Case Study - Transforming Construction Materials Marketplace
How GenAI reshaped a construction materials marketplace, from product discovery to transaction workflows, and the measurable impact on the buying experience.
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Perspectives on GenAI in the field
Broader observations on what separates GenAI programs that ship value from those that stall after the demo.
Article
🔍 Beyond Demos: The Pitfalls Undermining GenAI Teams
Why GenAI pilots that impress in a demo often stall before production, and the recurring pitfalls in team structure, evaluation, and scope that undermine GenAI initiatives.
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Customer AI Implementation Journey - AI in Insurance (Early Claim Fault Prediction)
A customer implementation journey for an early claim fault prediction model in insurance: the problem framing, data challenges, and adoption path to production.
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Celebrating a Year of GenAI Use Case Success in Retail!
A year-in-review of GenAI use cases shipped in retail, the wins, the lessons, and how the program evolved from first pilot to sustained adoption.
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How IT Consulting Can Survive the AI Apocalypse
Why traditional IT consulting models are under threat from GenAI, and what consultancies need to change about their delivery and value proposition to stay relevant.
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What Anthropic’s Plugin Strategy Reveals About Enterprise AI
Reading Anthropic’s plugin strategy as a signal for where enterprise AI platforms are headed, and what it means for how organizations should architect their AI stacks.
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The AI-Native Architecture Behind Modern Political Campaign Systems
A look inside the AI-native architecture powering modern political campaign systems, from data pipelines to narrative targeting, and the engineering choices behind it.
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Anthropic’s Strategy: CTOs as Domain Models
How Anthropic’s positioning treats CTOs as domain models in their own right, and what that framing implies for enterprise AI adoption and technical leadership.
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When AI Decides Your Worth: How We Lost the Plot on Innovation
A critical look at how AI-driven metrics and automation are reshaping notions of worth and innovation, and what gets lost when we let the metric become the goal.
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AGI = Automation + Guided Intelligence, Honesty Over Hype: Human Experience in the Age of AI
Reframing AGI as automation plus guided intelligence, and arguing for honesty over hype in how we talk about AI’s impact on human experience and work.
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Humans Need to Apply Critical Reasoning to Vibe Coding to Extract Real Value
Why vibe coding with AI assistants delivers real value only when paired with critical reasoning, and what happens to code quality and judgment when it isn’t.
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Optimizing Latency in Generative AI Applications: Navigating the Challenges of Cost, Time, and Talent
The tradeoffs between cost, latency, and talent when optimizing GenAI applications for production, and practical approaches to keeping response times acceptable.
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Building GenAI Products That Sell: 5 Lessons in GenAI Startup Product Building
Five lessons on why enterprises actually buy GenAI products, drawn from startup product-building experience and conversations with founders.
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GenAI Red Teaming - Adding Trust to Your Product
How red teaming builds trust into GenAI products, and why it should be treated as a core part of the product development lifecycle rather than an afterthought.
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🚩 Common Red Flags in GenAI Product Building: Insights from Founder Conversations
Recurring red flags in GenAI product building surfaced through founder conversations, and what they signal about product-market fit and execution risk.
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From AI Ideation to Product Development: Overcoming "Vanishing Visions"
Why promising AI product ideas often vanish between ideation and development, and what teams can do to carry a vision through to a shipped product.
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