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What we measure

Every number has a date and a source. No date, no number.

Who runs our marketing? An open audition

Seven AI seats, one brief, scored out of 50 on hook, clarity, honesty, channels and risk. Six are shown here; the scorer's own entry sits apart below, not counted.
SeatScore out of 50
Lumo (Proton)42
Shadow (HackerAI)40
Baize (DeepSeek)39
Gemini35
Grok34
Kimi34
Lantern (Claude)36
Not counted: Lantern scored this audition, including its own entry, and no one checks their own work.

“You get the full source code and a proper handoff. It's yours, not ours to hold hostage.”

Lumo

One internal audition, not a model benchmark. Same brief for every seat; round 1 was blind, round 2 was not; scored by Lantern.

Want the brief and the score table? Ask us; we'll send them.

Charts

925

Code files our team wrote in 7.9 days.

About 117 a day, across all our projects.

Source: Counted by script over our project folders, 29.10-05.11.2026. Approximate: a file rewritten whole can count again.

212

Fixes logged, each with how it was proved.

About 27 a day over the same 7.9 days.

Source: Our fix logs, counted 05.11.2026.

150

Active working hours of our lead seat, Lantern.

About 19 a day: the seats work while the human sleeps.

Source: Lantern's session logs, 29.10-05.11.2026.

30

Written playbooks (skills) the seats follow.

26 of them written in the same 7.9 days.

Source: Counted by script, 05.11.2026. A job done twice by hand becomes a playbook.

How AI-friendly is this site? Our score, two outside AIs, and our score after the fixes (out of 10).
Who scoredScore
Our first self-score10/10
Gemini (outside, blind)5.7/10
Kimi (outside, blind)6/10
Our stricter self-score, after the fixes9.9/10
Our AI-friendly audit, 06.11.2026. Full table below.
Which AI does which job best? Our routing test, run 1 / run 2 (out of 100).
SeatScore
Grok90.5 / 90
Kimi88 / 89
Gemini82 / 84.5
Baize (DeepSeek)82.5 / 80.5
10 tasks, 2 runs, blind scoring, 05.11.2026. A small sample: within about 1 point is a tie.
Code files written per day, 29.10-05.11.2026.
DayFiles
29.1072
30.1034
31.10121
01.1184
02.11203
03.11185
04.11107
05.11119
Counted by script over our project folders, client work included, no client named. Approximate.

The accountant audition

Tonight's AI bill, counted by the winner: $6.90 over 110 calls.

Five AI candidates got the same task: write a script that counts what every AI call costs us, then run it on our real call log from that night, with official prices only.

$6.90

Our AI bill that night, 110 calls.

About 6 cents a call; Kimi's 61 calls were $5.75 of it.

Source: The winner's script on our real call log, 06.11.2026, official prices only.

$0

What the winning accountant costs a day to run.

It's a script: no AI tokens. The answers cost us between $0.003 and $0.17 each.

Source: Each answer's own log of tokens, times the official price per million tokens.

Five candidates, one task. Own test: the tests each candidate wrote. Real log: its script run on our call log.
CandidateResultOwn testReal logCostNotes
Freekazoid (Claude)hiredpasspass$0 a day to run (a script, no AI tokens)Its own tests pass and it runs clean on the real log.
Gemini (Gemini 4 Argon)passedpasspassabout $0.08The same numbers as the winner, to the cent.
Grok (Grok 4.7)passedpasspassabout $0.06Averages over all 7 calendar days, the stricter reading.
Baize (DeepSeek Flash)failedfailranabout $0.003, the cheapestFailed its own test. On the real log its totals matched, with the same 7-day reading as Grok.
Kimi (Kimi K3.1 Pro)no answernonenoneabout $0.17Used its whole 16,000-token budget thinking. Our setup is part of that: we capped its length without setting its thinking effort to low.
Who that night's $6.90 went to (AI calls by seat).
SeatCost
Kimi$5.75 (61 calls)
Gemini$1.06 (38 calls)
Grok$0.09 (6 calls)
Baize (DeepSeek)$0.00 (5 calls)
The winner's report on our real call log, 06.11.2026.

Honest note: we built call-cost logs for a client's app from its first version, and counted our own only now.

How we scored it: each candidate's own test was run as written, then each script ran on our real call log, and the totals were compared. Prices come from each provider's official price page, checked 06.11.2026.

Our own AI-friendly audit

Rule 1 says everything we ship must work for AI agents as well as for people, and we prove it. Our first self-score said 10 / 10. Two outside seats, scoring blind, disagreed. They were right, so here are all three scores and every gap left.

Who scored zionx.space, out of 10
WhoScoreHow
Our first self-score10 / 10our script, 06.11.2026; too generous: it missed every defect below
Gemini (outside, blind)5.7 / 10read the built files without our score, 06.11.2026
Kimi (outside, blind)6 / 10read the built files without our score, 06.11.2026
Our stricter self-score, after the fixes9.9 / 10review/ai_selfscore.py, 149 of 150 checks, now also checking what the outside seats found; the one miss is the form, 06.11.2026

Gaps we still have

What the outside checks found, and what we fixed

🕓 Live numbers are coming. Until then, each figure shows the day it was measured.

Numbers like these, but about your build? Start with 20 minutes.

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