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Aiswarya Sankar (@Aiswarya_Sankar) claims top engineering teams measure AI usage…

2026-06-09 · 17:47 UTC ·@ginacostag_ ·0 min read

Brief

Aiswarya Sankar argues that the best engineering teams quantify how they use AI instead of guessing and today launched Entelligence AI’s Wrapped product to analyze AI coding behavior across agents. She highlights token inefficiency — pointing to cases that burn ~20B tokens to yield good results like “OpenClaw” versus teams producing “massively disastrous slop” — and directs readers to wrapped.entelligence.ai.

Why it matters

Aiswarya Sankar (@Aiswarya_Sankar) claims top engineering teams measure AI usage rather than guess and is launching Entelligence AI’s “Wrapped” product to analyze AI coding behavior across agents.

Key details

  • Sankar warns about wasteful token use: some teams burn ~20B tokens and produce useful outputs like “OpenClaw,” while others generate “massively disastrous slop,” coining the term “tokenmaxxing.”
  • Entelligence AI Wrapped is available at wrapped.entelligence.ai and is presented as a tool to profile an organization’s “AI coding personality.”
Source evidence

The best engineering teams are not guessing how they use AI.
They are measuring it.
Entelligence AI is how you measure it.

Aiswarya Sankar (@Aiswarya_Sankar)

Everyone is tokenmaxxing but some people burn 20B tokens and produce OpenClaw while others produce massively disastrous slop 🫠

Which one are you?

Launching @EntelligenceAI Wrapped. Analyze your AI coding personality across every coding agent

-> wrapped.entelligence.ai

Video

— https://nitter.net/Aiswarya_Sankar/status/2064391352197263540#m