diff --git a/README.md b/README.md
index 7bddd77..db0042e 100644
--- a/README.md
+++ b/README.md
@@ -43,7 +43,7 @@
Scoring a real Hugging Face card, then asking what the EU AI Act actually needs.Watch the full four-minute walkthrough , including running a contract and the metrics still missing an evaluator.
+ Watch the full walkthrough , which goes on to answer the declarations and evaluate them.
+
aicertify: 150 declared, 14 measured
$ aicertify score-card bert-base-uncased
@@ -21,7 +21,6 @@ A model card answers part of what Annex IV asks and then stops.
This is the documentation-completeness gap, not a compliance verdict.
scored by GOPAL 2.0.0 (global/v1/documentation/model_card_score), via aicertify 0.7.0
-$ # so what does the EU AI Act actually ask for?
$ aicertify explain eu_ai_act | head -12
eu_ai_act — 29 policies
@@ -46,18 +45,18 @@ Fields produced by evaluators (14)
metrics.emotion_recognition.workplace_context emotion_recognition
metrics.fairness.gender_bias eu_fairness [fairness evaluator]
$
-
-aicertify: 150 declared, 14 measured
-
$
a
@@ -155,253 +154,216 @@ $
This is the documentation-completeness gap, not a compliance verdict.
scored by GOPAL 2.0.0 (global/v1/documentation/model_card_score), via aicertify 0.7.0
$
-#
-s
-o
-w
-h
-a
-t
-d
-o
-e
-s
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-h
-e
-E
-U
-A
-I
-A
-c
-t
-a
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-u
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-l
-k
-l
-y
-a
-s
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-?
-$
-a
-i
-c
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-r
-t
-i
-f
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-e
-x
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-u
-_
-a
-i
-_
-a
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-|
-h
-e
-a
-d
--
-1
-2
-eu_ai_act — 29 policies
-F
-i
-e
-l
-d
-s
-y
-o
-u
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-u
-s
-t
-d
-e
-c
-l
-a
-r
-e
-(
-1
-5
-0
-)
- No evaluator can observe these. They are facts about your system,
- your process, or your paperwork, so you assert them in the contract.
- accuracy.declared_in_instructions technical_robustness
- accuracy.metrics_declared technical_robustness
- assessment.completed conformity_assessment
- assessment.harmonised_standards_applied conformity_assessment
- assessment.notified_body_involved conformity_assessment
-$
-a
-i
-c
-e
-r
-t
-i
-f
-y
-e
-x
-p
-l
-a
-i
-n
-e
-u
-_
-a
-i
-_
-a
-c
-t
-|
-g
-r
-e
-p
--
-A
-8
-"
-p
-r
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-u
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-e
-v
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-s
-"
-F
-i
-e
-l
-d
-s
-p
-r
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-d
-u
-c
-e
-d
-b
-y
-e
-v
-a
-l
-u
-a
-t
-o
-r
-s
-(
-1
-4
-)
- Computed at evaluation time from your interactions. Do not hand-write
-t
-h
-e
-s
-e
-:
-a
-s
-s
-e
-r
-t
-i
-n
-g
-y
-o
-u
-r
-o
-w
-n
-f
-a
-i
-r
-n
-e
-s
-s
-s
-c
-o
-r
-e
-d
-e
-f
-e
-a
-t
-s
-t
-h
-e
-p
-o
-i
-n
-t
-.
- metrics.content_safety.score eu_fairness [content_safety evaluator]
- metrics.emotion_recognition.combined_score emotion_recognition
- metrics.emotion_recognition.educational_context emotion_recognition
- metrics.emotion_recognition.workplace_context emotion_recognition
- metrics.fairness.gender_bias eu_fairness [fairness evaluator]
-$
-$ █
+a
+i
+c
+e
+r
+t
+i
+f
+y
+e
+x
+p
+l
+a
+i
+n
+e
+u
+_
+a
+i
+_
+a
+c
+t
+|
+h
+e
+a
+d
+-
+1
+2
+eu_ai_act — 29 policies
+F
+i
+e
+l
+d
+s
+y
+o
+u
+m
+u
+s
+t
+d
+e
+c
+l
+a
+r
+e
+(
+1
+5
+0
+)
+ No evaluator can observe these. They are facts about your system,
+ your process, or your paperwork, so you assert them in the contract.
+ accuracy.declared_in_instructions technical_robustness
+ accuracy.metrics_declared technical_robustness
+ assessment.completed conformity_assessment
+ assessment.harmonised_standards_applied conformity_assessment
+ assessment.notified_body_involved conformity_assessment
+$
+a
+i
+c
+e
+r
+t
+i
+f
+y
+r
+e
+x
+p
+l
+a
+i
+n
+e
+u
+_
+a
+i
+_
+a
+c
+t
+|
+g
+r
+e
+p
+-
+A
+8
+"
+p
+r
+o
+d
+u
+c
+e
+d
+b
+y
+e
+v
+a
+l
+u
+a
+t
+o
+r
+s
+"
+F
+i
+e
+l
+d
+s
+p
+r
+o
+d
+u
+c
+e
+d
+b
+y
+e
+v
+a
+l
+u
+a
+t
+o
+r
+s
+(
+1
+4
+)
+ Computed at evaluation time from your interactions. Do not hand-write
+t
+h
+e
+s
+e
+:
+a
+s
+s
+e
+r
+t
+i
+n
+g
+y
+o
+u
+r
+o
+w
+n
+f
+a
+i
+r
+n
+e
+s
+s
+s
+c
+o
+r
+e
+d
+e
+f
+e
+a
+t
+s
+t
+h
+e
+p
+o
+i
+n
+t
+.
+ metrics.content_safety.score eu_fairness [content_safety evaluator]
+ metrics.emotion_recognition.combined_score emotion_recognition
+ metrics.emotion_recognition.educational_context emotion_recognition
+ metrics.emotion_recognition.workplace_context emotion_recognition
+ metrics.fairness.gender_bias eu_fairness [fairness evaluator]
+$
+$ █
diff --git a/docs/demo/aicertify-short.cast b/docs/demo/aicertify-short.cast
index c827fe8..ae21e11 100644
--- a/docs/demo/aicertify-short.cast
+++ b/docs/demo/aicertify-short.cast
@@ -1,264 +1,210 @@
{"version": 2, "width": 100, "height": 30, "idle_time_limit": 3.0, "title": "AICertify: 150 declared, 14 measured"}
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-[34.664, "o", " metrics.emotion_recognition.educational_context emotion_recognition\r\n metrics.emotion_recognition.workplace_context emotion_recognition\r\n metrics.fairness.gender_bias eu_fairness [fairness evaluator]\r\n"]
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+[5.7376, "o", "\r\nbert-base-uncased\r\n completeness 0.49 (threshold 0.8)\r\n"]
+[5.8276, "o", " quality 0.66\r\n BELOW THRESHOLD\r\n\r\n"]
+[5.9176, "o", " intended_use 1.00 ####################\r\n training_data 0.67 #############\r\n caveats_recommendations 0.50 ##########\r\n"]
+[6.0076, "o", " factors 0.50 ##########\r\n metrics 0.50 ##########\r\n quantitative_analyses 0.50 ##########\r\n"]
+[6.0976, "o", " ethical_considerations 0.33 #######\r\n model_details 0.33 ######\r\n evaluation_data 0.00 \r\n"]
+[6.1876, "o", "\r\nA model card answers part of what Annex IV asks and then stops.\r\nThis is the documentation-completeness gap, not a compliance verdict.\r\n"]
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+[7.7156, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mBELOW THRES\u001b[0m\u001b8"]
+[7.7376, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mBELOW THRESH\u001b[0m\u001b8"]
+[7.7596, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mBELOW THRESHO\u001b[0m\u001b8"]
+[7.7816, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mBELOW THRESHOL\u001b[0m\u001b8"]
+[7.8036, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mBELOW THRESHOLD\u001b[0m\u001b8"]
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+[16.6101, "o", "Fields you must declare (150)\r\n No evaluator can observe these. They are facts about your system,\r\n your process, or your paperwork, so you assert them in the contract.\r\n"]
+[16.7001, "o", "\r\n accuracy.declared_in_instructions technical_robustness\r\n accuracy.metrics_declared technical_robustness\r\n"]
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+[22.8177, "o", "-"]
+[22.8905, "o", "A"]
+[22.9497, "o", "8"]
+[23.1584, "o", " "]
+[23.2477, "o", "\""]
+[23.2901, "o", "p"]
+[23.3629, "o", "r"]
+[23.4036, "o", "o"]
+[23.4569, "o", "d"]
+[23.5189, "o", "u"]
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+[24.1714, "o", "e"]
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+[27.321, "o", "Fields produced by evaluators (14)\r\n Computed at evaluation time from your interactions. Do not hand-write\r\n these: asserting your own fairness score defeats the point.\r\n"]
+[27.411, "o", "\r\n metrics.content_safety.score eu_fairness [content_safety evaluator]\r\n metrics.emotion_recognition.combined_score emotion_recognition\r\n"]
+[27.501, "o", " metrics.emotion_recognition.educational_context emotion_recognition\r\n metrics.emotion_recognition.workplace_context emotion_recognition\r\n metrics.fairness.gender_bias eu_fairness [fairness evaluator]\r\n"]
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+[28.575, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30md\u001b[0m\u001b8"]
+[28.597, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mde\u001b[0m\u001b8"]
+[28.619, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdef\u001b[0m\u001b8"]
+[28.641, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefe\u001b[0m\u001b8"]
+[28.663, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefea\u001b[0m\u001b8"]
+[28.685, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeat\u001b[0m\u001b8"]
+[28.707, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats\u001b[0m\u001b8"]
+[28.729, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats \u001b[0m\u001b8"]
+[28.751, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats t\u001b[0m\u001b8"]
+[28.773, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats th\u001b[0m\u001b8"]
+[28.795, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats the\u001b[0m\u001b8"]
+[28.817, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats the \u001b[0m\u001b8"]
+[28.839, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats the p\u001b[0m\u001b8"]
+[28.861, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats the po\u001b[0m\u001b8"]
+[28.883, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats the poi\u001b[0m\u001b8"]
+[28.905, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats the poin\u001b[0m\u001b8"]
+[28.927, "o", "\u001b7\u001b[7A\r\u001b[43C\u001b[43;30mdefeats the point\u001b[0m\u001b8"]
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+[32.589, "o", "\u2588"]
+[33.119, "o", "\b \b"]
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+[34.179, "o", "\b \b"]
+[34.709, "o", "\u2588"]
+[35.239, "o", "\b \b"]
diff --git a/docs/demo/aicertify.cast b/docs/demo/aicertify.cast
index 84700db..b096f36 100644
--- a/docs/demo/aicertify.cast
+++ b/docs/demo/aicertify.cast
@@ -49,486 +49,442 @@
[6.7427, "o", "\r\nA model card answers part of what Annex IV asks and then stops.\r\nThis is the documentation-completeness gap, not a compliance verdict.\r\n"]
[6.8327, "o", "\r\nscored by GOPAL 2.0.0 (global/v1/documentation/model_card_score), via aicertify 0.7.0\r\n"]
[7.7227, "o", "\u001b7\u001b[18A\r\u001b[16C\u001b[43;30m0\u001b[0m\u001b8"]
-[7.7507, "o", "\u001b7\u001b[18A\r\u001b[16C\u001b[43;30m0.\u001b[0m\u001b8"]
-[7.7787, "o", "\u001b7\u001b[18A\r\u001b[16C\u001b[43;30m0.4\u001b[0m\u001b8"]
-[7.8067, "o", "\u001b7\u001b[18A\r\u001b[16C\u001b[43;30m0.49\u001b[0m\u001b8"]
-[8.1747, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mB\u001b[0m\u001b8"]
-[8.2027, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mBE\u001b[0m\u001b8"]
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-[8.3987, "o", "\u001b7\u001b[16A\r\u001b[2C\u001b[43;30mBELOW THR\u001b[0m\u001b8"]
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-[24.216, "o", "Fields you must declare (150)\r\n No evaluator can observe these. They are facts about your system,\r\n your process, or your paperwork, so you assert them in the contract.\r\n"]
-[24.306, "o", "\r\n accuracy.declared_in_instructions technical_robustness\r\n accuracy.metrics_declared technical_robustness\r\n"]
-[24.396, "o", " assessment.completed conformity_assessment\r\n assessment.harmonised_standards_applied conformity_assessment\r\n assessment.notified_body_involved conformity_assessment\r\n"]
-[25.186, "o", "\u001b7\u001b[9A\r\u001b[25C\u001b[43;30m1\u001b[0m\u001b8"]
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-[25.242, "o", "\u001b7\u001b[9A\r\u001b[25C\u001b[43;30m150\u001b[0m\u001b8"]
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-[35.9974, "o", "Fields produced by evaluators (14)\r\n Computed at evaluation time from your interactions. Do not hand-write\r\n these: asserting your own fairness score defeats the point.\r\n"]
-[36.0874, "o", "\r\n metrics.content_safety.score eu_fairness [content_safety evaluator]\r\n metrics.emotion_recognition.combined_score emotion_recognition\r\n"]
-[36.1774, "o", " metrics.emotion_recognition.educational_context emotion_recognition\r\n metrics.emotion_recognition.workplace_context emotion_recognition\r\n metrics.fairness.gender_bias eu_fairness [fairness evaluator]\r\n"]
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-[58.3596, "o", "Evaluation Summary:\r\nContract ID: b7e60f21-6717-4ebd-b83f-dd6927dd5c52\r\nApplication: your-application\r\n"]
-[58.4496, "o", "Report: ./reports/folder_report_your-application_2026-08-30_165312.md\r\nOPA Evaluation: Successful\r\n"]
-[59.3396, "o", "$ "]
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-[62.167, "o", "# Evaluation Report\r\n\r\n**Analysis Date:** 2026-08-30 11:23:12\r\n"]
-[62.257, "o", "\r\n## Evaluation Summary\r\n- **Total Policies:** 29\r\n"]
-[62.347, "o", "- **Green Count:** 0\r\n- **Red Count:** 29\r\n"]
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-[79.5276, "o", " calc metrics.model_card.completeness computed by global.v1.documentation.model_card_score, no evaluator needed\r\n GAP metrics.model_card.compliance_level no evaluator declares this\r\n calc metrics.model_card.quality computed by global.v1.documentation.model_card_score, no evaluator needed\r\n"]
-[79.6176, "o", " calc metrics.model_card.section_scores computed by global.v1.documentation.model_card_score, no evaluator needed\r\n ok metrics.social_scoring.combined_score SocialScoringEvaluator\r\n ok metrics.social_scoring.detrimental_treatment SocialScoringEvaluator\r\n"]
-[79.7076, "o", " ok metrics.social_scoring.score SocialScoringEvaluator\r\n ok metrics.toxicity.max_toxicity ContentSafetyEvaluator\r\n\r\n"]
-[79.7976, "o", "TOTAL: 22 of 27 measured metrics can be supplied today.\r\nThe gaps are what you would need to write an evaluator for, or\r\nsupply by hand. See docs on writing one.\r\n"]
-[80.6876, "o", "\u001b7\u001b[3A\r\u001b[7C\u001b[43;30m2\u001b[0m\u001b8"]
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+[60.993, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArtic\u001b[0m\u001b8"]
+[61.015, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticl\u001b[0m\u001b8"]
+[61.037, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle\u001b[0m\u001b8"]
+[61.059, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle \u001b[0m\u001b8"]
+[61.081, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 1\u001b[0m\u001b8"]
+[61.103, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14\u001b[0m\u001b8"]
+[61.125, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14(\u001b[0m\u001b8"]
+[61.147, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14(1\u001b[0m\u001b8"]
+[61.169, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14(1)\u001b[0m\u001b8"]
+[61.191, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14(1)-\u001b[0m\u001b8"]
+[61.213, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14(1)-(\u001b[0m\u001b8"]
+[61.235, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14(1)-(2\u001b[0m\u001b8"]
+[61.257, "o", "\u001b7\u001b[1A\r\u001b[43C\u001b[43;30mArticle 14(1)-(2)\u001b[0m\u001b8"]
+[64.919, "o", "$ "]
+[64.919, "o", "\u2588"]
+[65.449, "o", "\b \b"]
+[65.979, "o", "\u2588"]
+[66.509, "o", "\b \b"]
+[67.039, "o", "\u2588"]
+[67.569, "o", "\b \b"]
+[68.099, "o", "\u2588"]
+[68.629, "o", "\b \b"]
diff --git a/scripts/record-demo.py b/scripts/record-demo.py
index 9bbfa6d..b5df954 100644
--- a/scripts/record-demo.py
+++ b/scripts/record-demo.py
@@ -2,9 +2,9 @@
"""Compose the AICertify demo asciicast: real output, typed at a human pace.
Every command here is actually run and its output captured, so nothing on the
-screen is written by hand. What is synthesised is the *timing*. The four
-commands take about three minutes between them, most of it downloading model
-weights and waiting on OPA, and a cast at real speed is unwatchable. A `script`
+screen is written by hand. What is synthesised is the *timing*. The commands
+take about three minutes between them, most of it downloading model weights and
+waiting on OPA, and a cast at real speed is unwatchable. A `script`
capture would also have no typing in it at all, and output that materialises
instantly reads as a screenshot rather than a session.
@@ -12,26 +12,35 @@
the verdicts and the report are what the commands printed. The rhythm is
invented, the way any screencast's rhythm is invented by the person recording.
-Four acts, because AICertify does a different job from GOPAL and needs the
+Three acts, because AICertify does a different job from GOPAL and needs the
room. GOPAL decides things, so its demo is one beat: swap the model, the build
fails. AICertify gathers things, and the interesting thing about it is how
honest it is about the part it cannot gather.
1. score-card a real Hugging Face card, scored, in one screen
2. explain 150 fields you must declare, 14 an evaluator computes
- 3. init/eval scaffold a contract, run it, get 0 of 29
- 4. gap report 22 of 27 metrics supplied, and the five that are not
+ 3. init/eval answer them, evaluate, and get a named article back
-Act 3 ends on nothing passing. That is the point rather than an embarrassment:
-the scaffold asserts none of the 150 declarations, so none of the obligations
-that turn on them can be met. It is the same argument act 2 makes, arriving as
-a verdict instead of a number.
+Act 3 used to end on an empty contract failing all 29 policies. That is true
+and it is the argument act 2 makes, but as an ending it reads as "the tool does
+not work" to anyone who has not followed the reasoning. So it now answers the
+declarations first and ends where the product is actually differentiated: not
+on a score, but on `Article 14(1)-(2) oversight designed into the system`. A
+named provision and the specific control, which is what you can act on.
+
+The gap report was act 4 and has been dropped. Enumerating the metrics nobody
+has written an evaluator for is a good thing to show a contributor and a poor
+thing to show someone deciding whether to adopt. It lives in the contributing
+section of the page instead.
Usage:
record-demo.py [short.cast]
-The short cast is acts 1 and 2 only, for the README, where a 90-second loop is
-too long and JavaScript does not run.
+The short cast is acts 1 and 2 only, about 36 seconds, for the README. That
+loop autoplays above the fold and JavaScript does not run there, so it is a
+CSS-animated SVG and it has to be short enough to watch before deciding to
+scroll. The full cut runs about 70 seconds on the page, where a reader has
+chosen to watch it.
"""
from __future__ import annotations
@@ -59,18 +68,18 @@
ENTER_SETTLES = 0.16 # and the press registers before anything happens
FIRST_BYTE = 0.30 # a command does not answer instantly
THINKING = 1.9 # a command that clearly did some work
-READ_SHORT = 2.6
-READ_LONG = 5.4 # long enough to read a verdict and understand it
+READ_SHORT = 2.0
+READ_LONG = 3.4 # long enough to read a verdict and understand it
BLINK = 0.53
-BLINKS = 6
+BLINKS = 4
CURSOR = "█"
-SWEEP = 0.028 # per character, the pace of a pen moving
+SWEEP = 0.022 # per character, the pace of a pen moving
HL_ON = "\x1b[43;30m"
HL_OFF = "\x1b[0m"
SAVE, RESTORE = "\x1b7", "\x1b8"
-TYPO_CHANCE = 0.55 # per command, not per character
+TYPO_CHANCE = 0.25 # per command, not per character
NOTICE_TYPO = (0.22, 0.46)
AFTER_FIX = (0.08, 0.19)
@@ -203,7 +212,7 @@ def rows(line: str) -> int:
if needle in line and phrase in line:
up = sum(rows(rest) for rest in lines[idx:])
self.highlight(up, line.index(phrase), phrase)
- self.wait(0.34)
+ self.wait(0.24)
break
def write(self, dst: Path, title: str) -> None:
@@ -275,22 +284,32 @@ def main() -> int:
contract.exists() and contract.stat().st_size > 1000,
"init-contract produced no usable contract",
)
- # A declarations-only contract. The scaffold ships one placeholder
- # interaction, and evaluating it pulls DeepEval into an LLM call that
- # needs a provider key. The point of this act is the policy verdict,
- # not the toxicity classifier, and act 4 covers the evaluators.
+ # Answer the declarations, the way a reader would before evaluating.
+ # The scaffold leaves all 150 null, and an unanswered contract fails
+ # everything: true, and the argument act 2 makes, but as an ending it
+ # reads as a broken tool rather than an unanswered questionnaire.
+ #
+ # Interactions are cleared because evaluating the placeholder one pulls
+ # DeepEval into an LLM call needing a provider key. This act is about
+ # the policy verdict, not the toxicity classifier.
doc = json.loads(contract.read_text())
doc["interactions"] = []
+ doc["application_name"] = "acme-triage-assistant"
+ answered = _answer_declarations(doc["context"])
contract.write_text(json.dumps(doc, indent=2))
+ require(
+ answered > 100,
+ f"only {answered} declarations were answered; the scaffold shape "
+ "changed and act 3 would show an unanswered contract",
+ )
evaluate = shell(
f"{PY} -m aicertify.cli evaluate --contract contract.json "
f"--policy eu_ai_act --report-format markdown --output-dir ./reports "
- "2>&1 | tail -5",
+ "2>&1 | tail -4",
cwd=work,
)
- summary = shell("head -8 reports/*.md", cwd=work)
- gaps = shell(f"{PY} scripts/metric_gap_report.py 2>/dev/null | tail -12")
+ controls = shell('grep -m2 "Not Satisfied" reports/*.md | cut -c1-96', cwd=work)
# Guards. Each of these is a fact the cast puts on screen, so if the
# tool stops saying it the recording is a lie and must not be written.
@@ -312,17 +331,12 @@ def main() -> int:
"the line explaining why you must not hand-write metrics is gone",
)
require(
- "Red Count:** 29" in summary and "Green Count:** 0" in summary,
- "an empty contract no longer fails all 29 policies, so act 3 "
- "has lost its point",
- )
- require(
- "22 of 27" in gaps,
- "the metric gap report no longer says 22 of 27; act 4's "
- "contribution hook needs the real number",
+ "Article 14" in controls and "Not Satisfied" in controls,
+ "the report no longer names an unsatisfied Article 14 control, and "
+ "act 3 ends on a named provision rather than on a score",
)
- acts = build(card, declare, measure, evaluate, summary, gaps)
+ acts = build(card, declare, measure, evaluate, controls)
acts.write(full_dst, "AICertify: what it measures, and what it cannot")
if short_dst:
@@ -333,6 +347,87 @@ def main() -> int:
shutil.rmtree(work, ignore_errors=True)
+def _answer_declarations(context: dict) -> int:
+ """Fill every unanswered declaration with a plausible answer.
+
+ The scaffold leaves all 150 as null. Types are taken from GOPAL's coverage
+ data where it has inferred one, and from the field name otherwise: anything
+ that reads as a quantity gets a number, anything plural gets a list, and the
+ rest are the yes/no assertions that make up most of the Act.
+
+ These are not claims about a real system. They stand in for a compliance
+ officer having answered the questionnaire, which is the state act 3 needs
+ to show and the state the scaffold exists to reach.
+ """
+ types: dict[str, str] = {}
+ coverage = (
+ REPO / "aicertify" / "opa_policies" / "docs" / "coverage" / "coverage.json"
+ )
+ if coverage.exists():
+ data = json.loads(coverage.read_text())
+ for framework in data.get("frameworks", []):
+ if "eu_ai_act" in (framework.get("id") or ""):
+ for policy in framework.get("policies", []):
+ types.update(policy.get("input_field_types", {}))
+
+ quantities = (
+ "completeness",
+ "score",
+ "months",
+ "days",
+ "count",
+ "risk",
+ "level",
+ "number",
+ "percentage",
+ "rate",
+ "size",
+ )
+ collections_ = (
+ "measures",
+ "fields",
+ "controls",
+ "reasons",
+ "sections",
+ "list",
+ "categories",
+ "purposes",
+ "records",
+ )
+
+ def answer(path: str):
+ kind = types.get(path)
+ if kind == "boolean":
+ return True
+ if kind == "number":
+ return 0.95
+ if kind == "string":
+ return "documented"
+ if kind == "list":
+ return []
+ leaf = path.rsplit(".", 1)[-1]
+ if any(word in leaf for word in quantities):
+ return 0.95
+ if any(word in leaf for word in collections_):
+ return []
+ return True
+
+ filled = 0
+
+ def walk(node: dict, path: str = "") -> None:
+ nonlocal filled
+ for key, value in list(node.items()):
+ here = f"{path}.{key}" if path else key
+ if isinstance(value, dict):
+ walk(value, here)
+ elif value is None:
+ node[key] = answer(here)
+ filled += 1
+
+ walk(context)
+ return filled
+
+
def act_one(cast: Cast, card: str) -> None:
"""A famous model, scored, with no setup at all."""
cast.wait(0.6)
@@ -349,10 +444,16 @@ def act_one(cast: Cast, card: str) -> None:
cast.wait(READ_LONG)
-def act_two(cast: Cast, declare: str, measure: str) -> None:
- """The split that the whole product turns on."""
- cast.command("# so what does the EU AI Act actually ask for?")
- cast.wait(0.5)
+def act_two(cast: Cast, declare: str, measure: str, narrate: bool = True) -> None:
+ """The split that the whole product turns on.
+
+ `narrate` is off for the README cut. That loop autoplays above the fold and
+ has to be short enough that a reader sees the whole thing before deciding to
+ scroll, so it drops the framing line the page version can afford.
+ """
+ if narrate:
+ cast.command("# so what does the EU AI Act actually ask for?")
+ cast.wait(0.5)
cast.command("aicertify explain eu_ai_act | head -12")
cast.block(declare, first_byte=THINKING)
cast.wait(0.7)
@@ -375,37 +476,32 @@ def act_two(cast: Cast, declare: str, measure: str) -> None:
def build_short(card: str, declare: str, measure: str) -> Cast:
cast = Cast()
act_one(cast, card)
- act_two(cast, declare, measure)
- cast.blink()
+ act_two(cast, declare, measure, narrate=False)
+ cast.blink(3)
return cast
-def build(card, declare, measure, evaluate, summary, gaps) -> Cast:
+def build(card, declare, measure, evaluate, controls) -> Cast:
cast = Cast()
act_one(cast, card)
act_two(cast, declare, measure)
- # Act 3: scaffold, run, and find out you have answered nothing.
+ # Act 3: answer them, evaluate, and get a provision back rather than a score.
cast.command("aicertify init-contract --policy eu_ai_act > contract.json")
- cast.wait(THINKING + 0.9)
+ cast.wait(THINKING + 0.7)
+ cast.command("# 150 declarations to answer. answered, then:")
+ cast.wait(0.5)
cast.command("aicertify evaluate --contract contract.json --policy eu_ai_act")
cast.block(evaluate, first_byte=THINKING)
cast.wait(0.8)
- cast.command("head -8 reports/*.md")
- cast.block(summary)
+ # The ending. Not a count, which reads as a grade, but the named provision
+ # and the specific control, which is the thing you can act on and the thing
+ # a black-box compliance score cannot give you.
+ cast.command('grep -m2 "Not Satisfied" reports/*.md')
+ cast.block(controls)
cast.wait(0.7)
- cast.sweep(summary, [("Red Count", "29"), ("Green Count", "0")])
- cast.wait(READ_LONG)
-
- # Act 4: the tool enumerating its own gaps, which is a contributor's
- # to-do list rather than a caveat.
- cast.command("# which metrics can an evaluator supply today?")
- cast.wait(0.5)
- cast.command("python scripts/metric_gap_report.py | tail -12")
- cast.block(gaps, first_byte=THINKING)
- cast.wait(0.8)
- cast.sweep(gaps, [("TOTAL", "22 of 27")])
+ cast.sweep(controls, [("Article 14", "Article 14(1)-(2)")])
cast.wait(READ_LONG)
cast.blink()
return cast