Article

Context Engineering for AI Agents: Lessons from Building Manus

Yichao 'Peak' Ji (Manus) · manus.im

Why KV-cache hit rate is the one production metric that decides agent margins.

Open on manus.im ↗

It answers 2 questions

  1. How much do AI agents cost to run, and how do I keep the bill under control?
  2. How do I give my agent the right context and memory so it stops forgetting?

Read with it

  1. The single chart that explains why what is unaffordable today is cheap next year. a16z.com Article Welcome to LLMflation: LLM inference cost is going down fast a16z (Guido Appenzeller)
  2. The headline numbers in thread form for a two-minute read. x.com Thread LLMflation: 10x cheaper per year a16z
  3. Names the paradox every founder hits: cheaper tokens, bigger bills. navyaai.com Article AI Token Cost Over Time: Down 99.7%, Bills Up 3x NavyaAI
  4. Explains the quadratic context growth that quietly multiplies agent costs. leanopstech.com Article AI Agents Burn 50x More Tokens Than Chats LeanOps
  5. How large buyers model agent economics, useful when selling to them. ey.com Article Agentic AI Enterprise Token Cost EY
  6. Concrete per-task cost ranges from cheap chatbot turns to $5+ agent runs. cowork.ink Article AI Agent Cost: Token Economics & Optimization Guide Cowork
eChai Partner Brands The partnership →