Harshitha Gangappa presents AI Under the Hood
Plain-English breakdowns of what users see, what likely happens under the hood, and why the product matters for teams, businesses, and builders.
Built by Harshitha Gangappa, Senior Product Manager and AI specialist in platform and consumer products.
Each teardown traces the product surface, user workflow, likely system, PM decisions, business impact, and tradeoffs.
What this is
AI Under the Hood
Product teardowns from the inside out
AI Under the Hood sits between technical model explainers and surface-level tool reviews. Each teardown starts with the user job, then works inward to the likely system, product decisions, business impact, and risks.
It is written for PMs, founders, operators, students, creators, and AI-curious professionals who want to understand how strong AI products actually create leverage.
Teardowns
Read plain-English teardowns of how AI products work, where they create leverage, and what risks teams should notice.
A plain-English teardown of how Lovable compresses product intent, planning, UI generation, backend setup, preview, iteration, deployment, and code handoff into one loop.
Read the teardownHow a teardown works
What the user sees, what they input, and what the product promises to deliver.
The manual steps the product compresses into a faster, more guided loop.
What may be happening behind the interface, clearly labeled when it is an inference.
Who uses it, why they pay, and which product decisions make the experience work.
Reliability, trust, privacy, quality control, workflow ownership, and the parts worth questioning.
The promise
Understand the product without pretending the hard parts are magic.
About Harshitha
I specialize in product strategy, GenAI, agentic AI, RAG-based systems, conversational AI, growth products, and platform experiences. My work has spanned healthcare, edtech, enterprise SaaS, hospitality, and consumer products.
AI Under the Hood is the public writing layer of that work: a place where I turn complex AI product patterns into plain-English teardowns that PMs, founders, operators, students, and curious professionals can actually use.
Professional proof
Across 10+ years, I have worked on AI-enabled digital experiences, productivity platforms, learning products, workflow automation, and knowledge products. Selected work has reached global users and delivered measurable adoption and efficiency gains.
GenAI products, RAG-based retrieval, agentic workflows, conversational AI, copilots, personalization, and workflow automation.
Product vision, roadmap ownership, platform strategy, user journeys, activation moments, North Star metrics, and product-market fit.
User activation, engagement, retention, funnel optimization, product analytics, A/B testing, and data-informed product decisions.
AI-enabled digital experiences, AI productivity platforms, global learning platforms, workflow automation, and knowledge apps.
Products I build
The product lab is where my AI product thinking becomes usable: public tools, repeatable systems, and productized learning.
Reads 8 job platforms every morning, ranks 50 roles against my real resume, and drops a clean shortlist into my inbox. Built in 7 days, with INR 0/month running cost.
A plain-English teardown series and newsletter for understanding how AI products work: user workflow, system design, product decisions, business impact, and risks. Built with repeatable research, visual, newsletter, YouTube, and publishing workflows.
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No hype, no dense model theory, no generic tools list. Just the product, the workflow, the likely system, and the PM/business takeaways from someone who has built products at scale.
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