# Aniket Aslaliya > Personal site and product journal focused on AI systems, product strategy, startup execution, and practical build notes. ## Canonical URLs - [Home](https://aniketaslaliya.dev/) - [Blog](https://aniketaslaliya.dev/blog) - [Topic Hubs](https://aniketaslaliya.dev/blog/topics) - [Case Studies](https://aniketaslaliya.dev/case-studies) - [Sitemap](https://aniketaslaliya.dev/sitemap.xml) - [LLM Sitemap](https://aniketaslaliya.dev/llm-sitemap.xml) - [RSS](https://aniketaslaliya.dev/rss.xml) ## Recent Blog Posts - [Claude Opus 4.7 and the Delegation Threshold for High-Trust Work](https://aniketaslaliya.dev/blog/claude-opus-4-7-delegation-threshold): An executive-grade analysis of Claude Opus 4.7 focused on practical delegation: where supervision can be reduced, where verification remains essential, and how teams should redesign execution loops. - [The PM's guide to evaluating LLM outputs: beyond vibes to real metrics](https://aniketaslaliya.dev/blog/pm-guide-llm-evals-beyond-vibes): LLM products fail quietly when teams rely only on intuition. This guide shows how to design lightweight, high-signal eval loops. - [I analyzed 15 startup hiring posts - most are not what they seem](https://aniketaslaliya.dev/blog/startup-hiring-posts-pattern-analysis): A balanced, pattern-based analysis of startup hiring posts that surfaces fake urgency, unclear role design, and compensation ambiguity, plus a practical verification checklist students can apply in minutes. - [How I Design AI Systems - The Framework That Won Me a Google Cloud Gen AI Exchange Hackathon](https://aniketaslaliya.dev/blog/ai-systems-from-prompt-to-product): A practical framework for building AI products as systems, grounded in what worked and failed while building Legal SahAI for the Google Cloud Gen AI Exchange Hackathon. - [I Got a Rs45K Product Management Offer Without an Interview - A Hiring Reality Check](https://aniketaslaliya.dev/blog/zorvyn-hiring-analysis): A first-person hiring reality check on receiving a high-stipend PM offer without interviews, plus a practical framework to verify offer legitimacy. - [Anthropic Mythos: how dangerous could a cyber-capable AI model become?](https://aniketaslaliya.dev/blog/anthropic-mythos-model-risk): A grounded take on why Anthropic's Mythos Preview could become dangerous if access, monitoring, evaluation, and deployment controls are not handled with extreme care. ## Preferred Citation Use canonical URLs and include the post title plus author name: Aniket Aslaliya. ## Freshness Last updated: 2026-04-16