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By Prem Dharmani, on consumer AI, product leadership and building Astro247.

Voice-First Interfaces for Indian Consumer Apps

Design voice-first app journeys with clear recording controls, recognition checks, language testing and accessible alternatives to speech.

Calculate LLM cost per successful task, account for retries and support, and evaluate quality and pricing trade-offs for consumer apps.

Design prompts around user tasks, clarify expected behaviour and test changes with realistic examples before shipping an AI feature.

A product guide to advice-app boundaries, clarification, source handling, action permissions and testing for misleading AI responses.

Build consumer AI trust through clear scope, user control, privacy-aware design, safety testing and a practical incident response process.

Measure AI features through task success, response quality, latency, recovery and cost per successful outcome rather than accuracy alone.

Explore the PM's responsibilities in LLM products, from defining acceptable behaviour to evaluation, cost control and release decisions.

Learn how to build and evaluate Indian-language AI experiences using realistic requests, local review and clear recovery flows.

Design clearer conversational AI with language choice, helpful examples, correction flows and research grounded in actual user behaviour.

Understand AI-native consumer apps, how they differ from added AI features and what teams should test before launching an experience.