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“I Walked Into Restaurants and Sold AI Automation. First Client in 3 Days.”

AI Chris Lee View the source ↗ Scored 2026-07-27 Engine 3.1 · prices 2026-07-20
0/100
Debunked

2 of 6 axes hold. 1 fails outright — and a hard fail ends it, however well the rest scores.

Hard fail · price realism

price 17.2x outside band (limit 10x).

Six axes · 56 of 115 points, then the hard fail

Temporal Possibility

Can the output fit the claimed window, and does the platform pay out in time?

20/20

The working

1 x customer @ 300min = 5h needed; 3d x 16h = 48h available
In human terms

5 hours is under one working day. That is 1.7 h/day across 3 days. The 48 h “available” figure is a physical ceiling (16-hour days, no days off), not a reasonable schedule.

Workload Cost

What the claimed output actually costs to produce at current prices.

25/25

The working

unit kind 'customer' has no generation cost table; assuming $0 generation
1 units x $0.00 = $0.00 total generation cost
generation cost is 0% of claimed revenue

Stack Completeness

The full bill — named tools plus requirements the claim didn't mention.

6/15

The working

Gemini: $30.0/mo (default)
website: $30.0/mo (default)
payment processing system: $30.0/mo (default)
photo editing software: $30.0/mo (default)
stack total $120/mo across 1 named + 3 unstated

Price Realism HARD FAIL

Claimed per-unit price against the real market benchmark band.

0/20

The working

benchmark customer_per_unit: $500-$10000
HARD FAIL: price 17.2x outside band (limit 10x)

Net Margin

Whether profit survives generation, tools, and time at market wage.

0/20

The working

time cost: 1 x 300min @ $30/h = $150
net: $29 - (gen $0 + stack $12 + time $150) = $-133 (-459%)

Replicability

Could a normal person with ~$500 replicate this, or does it need rare skill, an audience, or heavy capital?

6/15

The working

3 undisclosed requirement(s) raise the barrier (-4.5)
'customer' depends on landing clients — needs sales skill/network (-5)
TIMEWORKLOADSTACKPRICEMARGINREPLIC
Six axes plotted against their maximum. Every point is the published score for that axis — the picture and the rows are the same numbers.

Extracted by qwen3:14b · scoring 3.1 · prices 2026-07-20. Scoring is deterministic: the same inputs reproduce this score, and every price is dated and sourced in the methodology. A hard fail overrides the total.

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