How to Save on AI Tokens: A Practical Guide for Engineers and Teams
Learn how to cut AI token usage by 40–70% without losing output quality. Covers system prompts, XML tags, model selection, caching, and workflow hygiene.
I'm Aryan Singh — ex-Google SWE and advanced AI user with 5+ years shipping scalable systems for Google & YouTube Ads. I design advanced AI workflows with Claude, Windsurf, MCP, and enterprise tooling, and advise teams on AI adoption for production systems.
Senior Software Engineer
Shipped ad serving infrastructure for Google & YouTube Ads — systems handling billions of daily auctions across distributed services.
Feb 2021 – Sep 2024
Founder & Technical Lead
Founded a technical holding company for AI-native products: AI enterprise solutions, an AI lawyer platform, and AI SaaS products.
Sep 2024 – Dec 2025
Consulting
Advised teams on production AI adoption, agent orchestration, and integrating LLMs into enterprise systems.
Select roles
Bridging the AI gap for enterprises. We help engineering teams move from AI experimentation to production-ready AI systems — without the hype, the vendor lock-in, or the broken prototypes.
nextbridge is where I’m focusing my engineering work: pragmatic AI consulting, internal tooling, and hands-on implementation for companies that need real AI outcomes, not AI theater.
Read more about thisWhat I’m working on
Languages, frameworks, and tools I've shipped production code with.
Frontend
Backend & APIs
Mobile
Infrastructure & DevOps
AI & LLMs
Enterprise & MCP Tools
AI, engineering, and SaaS — published weekly.
Learn how to cut AI token usage by 40–70% without losing output quality. Covers system prompts, XML tags, model selection, caching, and workflow hygiene.
Why HTML is a better output format than Markdown when you use AI to understand code, visualize systems, and communicate complex ideas. With real Claude Code examples.
Why spec-driven development is the antidote to AI-generated technical debt. Learn the 3 levels of SDD rigor and how to write specs that AI coding agents can actually execute.
Blog posts and deep dives currently in the works.
Building a compact, personal AI system that remembers context, automates decisions, and acts as a second brain.
Practical AI-assisted workflows for navigating, refactoring, and shipping code in large engineering organizations.
A real look at how senior+ engineers actually use AI tools — what works, what doesn't, and what's overhyped.
A curated, hands-on review of the newest AI tools that are actually worth adding to an engineering workflow.