How to Separate AI Hype from Real Value
A decision framework to evaluate whether an AI product, feature, or claim is genuinely useful.
May 27, 2026 · Prabhu TLA decision framework to evaluate whether an AI product, feature, or claim is genuinely useful.
May 27, 2026 · Prabhu TLA low-risk way to learn what works before you commit bigger budgets, broader access, or deeper integrations.
May 27, 2026 · Prabhu TLA realistic path for moving from exploration to adoption without overpromising speed, scale, or certainty.
May 27, 2026 · Prabhu TLUse AI to pressure-test screen logic, state handling, offline behavior, and edge cases before mobile code grows complex.
March 3, 2026 · Prabhu TLTurn messy issue descriptions into clearer, more actionable bug reproduction notes with AI-assisted structure and sharper detail.
March 3, 2026 · Prabhu TLA good prompt template system reduces random results, cuts onboarding time, and makes AI use more predictable across…
March 3, 2026 · Prabhu TLMove from idea to clickable or testable prototype faster by using AI for scoping, scaffolding, mock data, and…
March 3, 2026 · Prabhu TLA practical documentation workflow for internal tools where AI speeds up structure, clarity, and consistency without replacing real…
March 3, 2026 · Prabhu TLUse AI to get to a workable regex faster, while still validating correctness, performance, and edge cases yourself.
March 3, 2026 · Prabhu TLA practical framework for using AI to sketch, pressure-test, and refine backend endpoints before you start coding.
March 3, 2026 · Vishwa Prabhu