AI Workflow Score
See how you really work with AI.
One command. One honest number. A breakdown that shows what to improve.
npx @beon-tech/ai-scoreAbout a minute · your code never leaves your machine · your score goes on the board
- Leverage
- 25/30
- Craft
- 16/20
- Verification
- 12/15
- Delivery
- 12/15
- Consistency
- 7/10
- Customization
- 8/10
- ✓ Checks ran in 80% of sessions
- Next: ship more of your sessions
- dimensions, one score
- 6
- point scale
- 100
- command to breakdown
- ~1 min
- lines of code sent
- 0
Challenge a friend
Think they can beat your score?
Send your link. They see your number and the breakdown, get the command, and find out where they land next to you on the board.
Checking your session…
What it measures
Not how much you use AI.
How well.
- 30 pts
Leverage
Whole tasks delegated, not autocomplete.
- 20 pts
Craft
Clear prompts. Failures carried to a fix.
- 15 pts
Verification
Tests, typechecks, builds actually run.
- 15 pts
Delivery
Work lands as a commit or a PR.
- 10 pts
Consistency
Steady weekdays, not a last-week burst.
- 10 pts
Customization
MCP, skills, hooks, subagents.
How it works
Three steps, about a minute.
- $ npx @beon-tech/ai-score loginOpening ai-score.beon.tech/device…Your code: WXYZ-4821Waiting for approval ▂▃▅Step 1
Sign in from your terminal
- ai-score.beon.tech/device
Approve this device?
WXYZ-4821
ApproveStep 2Approve the code, run the scan
- Your readingprivate link
80/ 100
Next: more sessions ending in a commit.
Step 3Read your breakdown
Privacy
We count what happened. We never read what you wrote.
Your machine
stays here, always
AI Workflow Score
counts and yes/no states only
- your promptshow manywords per prompt
- your code & diffslines added / removed
- commands & their outputchecked? yes/nodelivered? yes/no
- the agent's repliestool callstokens per modelsession timing
- file names & pathsproject folder, hashedwhere agents keep logs
- repo names & branchescommits madePRs opened
Your name, score and city go on the public board. Nothing else about you gets published. The CLI is open source, so you can check every line of this. Read the full privacy policy and terms.
Who's behind this
Built by BEON.tech, in Latin America, since 2018.
BEON.tech is a software talent company founded in Buenos Aires in 2018. It places engineers from across Latin America with U.S. companies and has screened more than 68,000 of them along the way. This score grew out of the question its team asks every day: not whether someone uses AI, but how well.
About BEON.tech2018
founded in Buenos Aires
68,000+
engineers screened across Latin America
23
Latin American countries engineers are hired from
Claude Partner
Select Services Partner in Anthropic's partner network
Where's the leaderboard?
At /leaderboard: every verified engineer's latest score, with country and city filters.
What's a good score?
Bands are calibrated on real engineers' runs. The breakdown tells you what to work on first.
Can I run it again?
As often as you like, on the machine you actually work on.
Ready to see your score?
npx @beon-tech/ai-scoreAbout a minute. See where you land on the board.