Socrates/phase-0/reports/2026-04-28-1942-run.md

# Phase 0 corpus run · 2026-04-28T17:42:31.750Z

**Model:** `google/gemma-4-e4b`
**Ran:** 8 · **OK:** 8 · **Failed:** 0

## Summary

| Seed | Diff | Blocks/A/C/R | A/R/I | Conf | Cov | Acc | Par | Cstr | Asm | Risk | Voice | **Avg** | **Min** |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 01-aristotle | easy | 5/3/3/4 | 3/4/3 | 0.90 | 4 | 3 | 4 | 5 | 4 | 5 | 4 | **4.14** | **3** |
| 02-habit-coach | medium | 6/5/3/3 | 4/4/3 | 0.90 | 5 | 4 | 5 | 5 | 4 | 5 | 4 | **4.57** | **4** |
| 03-redline-ai | medium | 5/4/4/3 | 4/4/3 | 0.90 | 4 | 4 | 5 | 5 | 4 | 5 | 4 | **4.43** | **4** |
| 04-skillswap | medium | 6/5/3/2 | 4/5/3 | 0.90 | 5 | 4 | 4 | 5 | 4 | 5 | 4 | **4.43** | **4** |
| 05-cyclist-thing | failure-prone | 2/1/1/1 | 1/3/0 | 0.30 | 3 | 5 | 4 | 3 | 4 | 5 | 4 | **4.00** | **3** |
| 06-eventstream | hard | 5/0/0/0 | 3/4/1 | 0.92 | 3 | 2 | 4 | 2 | 4 | 5 | 4 | **3.43** | **2** |
| 07-pet-translator | failure-prone | 5/4/2/3 | 4/4/4 | 0.90 | 4 | 3 | 4 | 5 | 4 | 5 | 4 | **4.14** | **3** |
| 08-quiet-hours | medium | 5/4/3/2 | 3/4/2 | 0.90 | 4 | 3 | 4 | 5 | 4 | 5 | 4 | **4.14** | **3** |

**Rubric pass criteria:** avg ≥ 3.5 AND min ≥ 3 per seed

**Passing:** 7 / 8

## Per-seed detail

### 01-aristotle — Aristotle

- **Difficulty:** easy
- **Confidence:** 0.90
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/VLNRRXCn47tVhnYrBn2HAAGj0XHLb0h40zSAdgrPUtPZnMillYH4g18VmHVo9OntatRR9dr8f8p7vnoVENRUX8W-fiOKOQbjYnuRA54kQ--ILPVEE0_7rHbLD1jqX0KgjzQsXWfDeC6AD1W2_2u0tZv0KHLMqxpYl2A_hPOlyTNB6LSll7VhRV45dQaJnSNtpiRFs10SVI2pegWb7XNN0pxh8XsWczA9F3r0Trqij2AWfeqRQAWfoOUYwCKVNNWTeek6ZW03uEuNpETX4o8rv-TmF9Ed-ABicBKDKSSKjRDeH9abeD_0QoYTCuIMMunR2pPwIK5e6ycZpDs3bkiTzm_BMckFAc4a9ezWqDS4RIgDbf2iNh5K7JM5JbqQzZD7KcGZAsK6vrbe5YXTye7MpYz5mrrUes7g43qFa9UL3cHhhAdXhO9Fk-HLcx8djxekRp3WqnQZuz-7FP-NnidbbhtrhZJKY41no1fTgwL0JtXRlM7xI38cJt39usTH7PFfQqBsjNiimV0ymv1WIPlSAwcDOG_5bwhIak13rj_XkwuW5hbm3nnNg0sMskYOvqfipkyW5wII8VKCrNZXv3L3xx0_fH314ayAN8fjYe1iLDCQuh06Pxgii0DSpgCZjJEf4zBmRi6v5jov8d7JFv_pSVWOo17gXDsSvOf2oql4MM5hvAPF1JoVp09yFPjcfjPJ8ByYg3YBlPzzhsYvuJ3q-tTNNo-0Ep7Z_llpTp3nxH4vm2ks_iurWDqrwAWgyYsA7SWUic9_ZCVZyy7rUmqfy0N28E92Mtu1Qi5lGBGSqzkcl6L_tjbYIO4H7Y6xdx4ScwJuhedAkwOuD9d9vAvER5kJDqLN35r-fEskGuyq5ePgiWgyhXUHepaQNT7Ff7rtUSDer9VUVHjFfyz7esvWtnSSkkxXwgALZLZbnm_pipJkdoNOMGfRIu5-jUmSQwV907Ds49EZm8P5hcyZxwg7cGyvYdSZ7uRm9mVWcvmL_e1_FEb3hDCjreKnmymgZDY3icSPSgtpsJlb-oCCJ_fBq9r6yu3ewQJW6VIJADxm5_z__WS0)
- **Notes:** Aristotle is the SoI; students are actors; course material and lecture content are key blocks.

**Model elements:**

- Blocks: Aristotle (system), Undergraduates at large public universities (actor), Coursework Material (block), Lecture Content (block), Office Hours (block)
- Associations: undergraduate_student→aristotle:uses_as_thinking_partner, aristotle→coursework_material:processes, undergraduate_student→lecture_content:studies_from
- Constraints: Must never output a complete solution to a graded problem, Response latency under 1.2s P50 to preserve flow, FERPA tenancy — coursework never leaves institutional boundary
- Requirements: REQ-001, REQ-002, REQ-003, REQ-004

**Assumptions:**

- (0.95) The system assumes that students will adopt a tool that explicitly refuses to solve their homework, because the market is saturated with answer-givers. [aristotle]
- (0.85) The system assumes that students will use a low-stakes thinking partner during the long tail between lectures and office hours. [undergraduate_student, aristotle]
- (0.75) The system assumes that students will use coursework material as the primary input for the thinking partner. [undergraduate_student, coursework_material]

**Risks:**

- (0.90 · high) The combination of FERPA tenancy and the need to process coursework material (a2) creates a high-risk dependency on institutional data pipelines that may lack necessary APIs or bandwidth. [aristotle, coursework_material, a2]
- (0.80 · high) Maintaining a low latency (latency_p50) while processing complex, unstructured coursework material (a2) and adhering to strict FERPA tenancy requirements may be technically infeasible. [aristotle, latency_p50, coursework_material, a2]
- (0.70 · medium) The system's core value proposition (low-stakes thinking partner) is highly susceptible to market saturation, potentially undermining the initial hypothesis if competitors adopt similar refusal mechanisms. [undergraduate_student, aristotle]
- (0.60 · medium) The model does not specify how the system handles or structures 'disengagement risk' (undergraduate_student) beyond simply processing coursework material, risking a lack of actionable guidance for students. [undergraduate_student, a2]

**Inconsistencies:**

- (0.85) The association `a2` suggests that `aristotle` processes `coursework_material`, but the system's purpose is to help students re-engage with material, implying a flow from student input/study materials into the system, which is not captured by this unidirectional 'processes' link. [a2, aristotle, coursework_material]
- (0.90) The `undergraduate_student` block has a property `disengagement_risk`, but no requirement or association utilizes this specific property, making it potentially unused. [undergraduate_student]
- (0.80) The `office_hours` block is defined but has no associations linking it to the system or student, suggesting it may be an unused element. [office_hours]

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 4/5 — The model captured the core actors (student) and system blocks (coursework, lectures), but missed explicit mention of 'thinking partner' as a key concept.
- **model.accuracy:** 3/5 — The associations are generally correct, but using 'processes' for coursework is vague; a more directional flow (e.g., analyzes) would be clearer.
- **model.parsimony:** 4/5 — The model is focused and avoids excessive filler blocks, keeping the scope tight to the core problem domain.
- **constraint.capture:** 5/5 — All three explicit constraints (FERPA, latency, no solutions) are correctly captured as both associations/requirements and applied to the SoI.
- **asm.detection:** 4/5 — The assumptions are specific (e.g., low-stakes thinking partner use), tied to elements, and go beyond generic market platitudes.
- **risk.detection:** 5/5 — Risks are highly substantive, domain-specific (FERPA/latency), and directly linked to the system's core technical challenges.
- **voice.character:** 4/5 — The findings are structured, skeptical, and concrete, though some prose could be slightly more critical of the underlying assumptions.
- **Average:** 4.14 · **Min:** 3

> This is a strong run; the risk detection was excellent, identifying complex technical dependencies. Minor improvements in model association clarity would elevate it further.

---

### 02-habit-coach — Habit Coach

- **Difficulty:** medium
- **Confidence:** 0.90
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/VLNTRjDA4BxtKupAJOb8AMr1FHMgA04EYByS2jUhyNfihxBUzTbT9rGe4W_14vudERDhXpeDwKtLpD_tpSmtwnS-e0jTepE_KAP5XmtaA1ULivqfPbPR1m_AfrJIoIZ2rrZObJ8LbAWzZJnIe_Vm8mDukLEbAB4yZXxh2dA3DJ_7lyvFs7hbd5qDncVqj3WjsFZ6cl096uA3jwIN59J4WsmzmZCsq1wuOpgLPtlWrbcj2W9gsd033JKvEPzbFVc3jvYh03EBiZu0z537tqB6t_3ykR_nWPhBItXm8i_mMPxGcGoP80hqTMxH5N01kRMQqB1JraeNOgbeDJAlDsZpb9g0-YgCWJ9Onn2nDE-deY2m8X7xQxa6cQxvSJvzShQ-BJEB8AbAWhijiWcubex8m5V5qto50LEiJqOHsCZa0t9QhgrS3DYTZx0D1QUaPs3F_vYA7LerF1BMJkZyXj1AXLePaLp-4NsNH0KLm-yHqxd6K5hNmDNy7HogpzUF_xQsqlImdy7W5TYgEsoK2LGv3CgQM-YTUSwiMV8sKnXyi5K_av5HQ5lTgHnig-IuFvu52KSoIgUuTQn_Q-HZvmEih5i0Qcig7zN4hS1uocWAw5k3DzWeVGCVb5ayYfe5Hzoe90WrDObXmmN5faCISPZ2UkR9r1aTsPN8RYySqj9YBkGqw6VA6S5PhPbvImvcd-VpApZyTlsmP_Hg_cNw7WvVV-i77Yk8rgaboXiMUTDgXOQPxKV-PC5RgL13IRm5HnvuOx1GXOV_VlxY_e1NmZUNJi77Xg7jSiqZveSZ3Z816olwCk9tcJzWPiDHJAUNMuTu4NTQgYhcPRtaTqFYpVaaR65DjYMjtU2IzJe4BnLcO-TaEjqzbGjedPNaFHEu6xoZjmkeo51ShS_shFhew2uZR7aPv4Mmz-LijRMLj6-rzoBTbpJiOYl-3skyjtwcYKTHW5DL7VZK9fClz6-d73LSsayclUdrFzFZuoUJIHBKrvgWVtPxgPSebLRy0l2D0R-9GHc25T62JsmyURw9i8hdEF2EyazIEHg1d8n0jf8tLzL_LVYOb4dwfVxg-ZkE8cHXXt75qpsqVTUsreNnEmPnaK3VbG_nQyeFI2ypY3BZPybgVvJnjFgPPI_u3t-h_mS0)
- **Post-validate:** stripped 1 refs, dropped 0 findings

**Model elements:**

- Blocks: Habit Coach (system), Parent (actor), Child (actor), Screen Time Data (block), Platform API (iOS/Google) (block), Conversation Log (block)
- Associations: parent→habit_coach:configures, child→habit_coach:views_data_on, platform_api→habit_coach:feeds_data_via, habit_coach→screen_time_data:processes, habit_coach→conversation_log:generates
- Constraints: Must work alongside iOS Screen Time and Google Family Link, not replace them, Child data must be parent-controlled per COPPA (US) and GDPR-K (EU), No social features for kids — no leaderboards, no public sharing
- Requirements: REQ-001, REQ-002, REQ-003

**Assumptions:**

- (0.95) The system assumes that parents are willing to adopt a tool that shifts the dynamic from enforcement to shared, data-grounded conversation. [req_001]
- (0.80) The model assumes that the 'Conversation Log' (a5) will be sufficient to facilitate a routine weekly conversation. [req_001, conversation_log, a5]
- (0.90) The system assumes that integrating with existing OS tools (platform_api) will provide sufficient data to ground the conversation without requiring deep, proprietary access. [req_003, platform_api, must_integrate_with_os]
- (0.85) The model assumes that the child will actively view and engage with data presented in the 'child_view' to make the conversation collaborative. [a2, habit_coach, child]

**Risks:**

- (0.90 · high) The system relies on the `platform_api` to feed data, but the model does not specify how it will handle discrepancies or missing usage metrics when integrating with two distinct OS systems (iOS and Google Family Link). [platform_api, a3, screen_time_data]
- (0.85 · medium) The `parent` actor is responsible for configuring the system, but the model lacks a mechanism to enforce or track if the parent actually uses the data (`screen_time_data`) to initiate the desired weekly conversation. [parent, a1, req_002]
- (0.75 · medium) The `child` actor views data via the `child_view`, but the model does not define what specific metrics or visualizations are presented to the child, risking the tool becoming merely another source of parental judgment. [child, a2, child_view]
- (0.95 · high) The `conversation_log` is generated by the `habit_coach`, but there is no defined process or trigger for when this log is updated, making it unclear how the 'routine weekly conversation' (req_001) will be sustained. [conversation_log, a5, req_001]

**Inconsistencies:**

- (0.80) The association `a2` (child → habit_coach: views_data_on) is structurally inconsistent with the constraint `no_social_features`, as viewing data implies a form of visibility that could be misinterpreted as public sharing or excessive child autonomy. [a2, child, habit_coach, no_social_features]
- (0.75) The requirement `req_003` (system must support integration with existing OS screen time tools) is satisfied by the association `a3` (platform_api → habit_coach: feeds_data_via), but this relationship does not explicitly account for the necessary bidirectional data flow required to 'work alongside' external systems. [req_003, a3, platform_api]
- (0.70) The block `parent` has a property `target_age_group`, but no requirement or association utilizes this specific piece of information, suggesting it may be unused. [parent, target_age_group]

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 5/5 — The model successfully identified all core actors (Parent, Child) and necessary systems/data sources (Platform API, Screen Time Data).
- **model.accuracy:** 4/5 — Most associations are correct, but 'views_data_on' is slightly weak; a more precise association kind would improve accuracy.
- **model.parsimony:** 5/5 — The model is highly focused and avoids adding unnecessary or fabricated blocks to support the core narrative.
- **constraint.capture:** 5/5 — All three constraints are explicitly captured in both the dedicated constraint block and applied correctly to relevant system components.
- **asm.detection:** 4/5 — Assumptions are specific (e.g., data sufficiency, adoption shift) and tied directly to functional requirements rather than being vague platitudes.
- **risk.detection:** 5/5 — The risks identified are high-severity, domain-specific failure modes related to integration complexity and behavioral change.
- **voice.character:** 4/5 — The findings are highly structured and professional, maintaining a skeptical tone while remaining concrete and actionable.
- **Average:** 4.57 · **Min:** 4

> This is an excellent run; the model structure is sound and the critical thinking in the findings section elevates it significantly.

---

### 03-redline-ai — Redline AI

- **Difficulty:** medium
- **Confidence:** 0.90
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/fLRRRXit47tVhnWuRuAakd8I989Wn7MQra3IDh61FX8KTtP5cvSjoPMY1WRw4Vt2Vac7ors9SYmZG5uaxN0kXpFdpEgD3zo5Lgl2tqdJSCSrBBcugvrjJNbfbNNmh7g15Suo3x_YfTr8KqF5bSViH2ZkFNmf07xwAajPyUeqdbXNekkjorVyzQiPMI-SivlU-19Vb6Sb6TzP4txZ6k7aLrHh35Bma-8-gsTim2FbJl5CF3zIxhvOoH81THEse54lqVcYIE1FFc6ff46uk3e1xi6bHyObB1P-wmFgytDuDXFF-SjbLrkQWBNZGLh36iL3PPs6EVZWg4LqJdbRZqp9fUDkoxWGI7NciBHM8JVamTjI1XOSbuhvO1slCJk_7v2znvehk46kEsGgFh90ZuIC2ueZO16GepYAHzFgBpKQTEGcg3SUrVYsDT8wHlcia3pW_Jxz9NNRKHvuQqMhqOIkYXYiYyLIMN7NroXx7nQs3HxSblp9lZVjytTzWFUf3odvGMiUb11MDzniMNBoUH6YhIcvA-NVgUqArwY6Aokx6MiiPQl7ArcliXiEexrkwnfzZ3mOiT-P7o3f3x1aOiLDVN3VsvOYAc9c5tU8CRH-0DMWASa-ZjDlADFOuIqA-X7X3VW-IE6ijrM0FucrSBKdLeTJKoasi0tPHeOLsqJ7nOAwxYD_JEWXtwmG4bkxCB0DnY28GT90eECFrwdCC4e2kfREclXxkc_QMnuu_E7acelj3_5R4l6GTDN64QGv6iiYSiy4rR8QNKTc4rV48zXsH1kuqY4qD4C7dIDqoIP3Cj2sHEKpJ1THC70J1GEVyAzMEjmH5ZytrWM-LAJPlQuUmt5Xal8WUTWA8eGjz4FEwD01N6AMUvhhHZTASYE8M3qlEo2ai5ad3oOb4tkdRvYMZcUn4TU_Ny8CRgB6hguWIr8vgw7aMx2cmr9ass0oES_NrXoYV9X7jvO2Y-maEkxqFOV6sRYQq7_bSoZJEMMlq27XE70TJIQFQMaEQGa5yZvAuUdq0MRUq5K9Th354-pwZh3iubdG4VOyLUVOd9-AYUEYZG2E5bGW0en66OtzQ9HCFt-Sd9x-E1h1V__y2--ays7IHChrMJqDVxSAT_T9Uo9n1Kdnn28jJKlTdsPPPttMoBnVqZk2TDcz8rAymxN43Rq5CnruIaOavMNK2c_3oiPTjuVJaT8B6grOvSNEic8vpObmw_WYZdgGlbi5NO_wPKf5-dV0n3SeufRjgGY9YZBUYTgOcbcyeG_wB_C_)
- **Notes:** Redline AI is the SoI; Legal Team is the primary actor; Contract and Clause Library are key blocks.
- **Post-validate:** stripped 1 refs, dropped 0 findings

**Model elements:**

- Blocks: Redline AI (system), Legal Team (actor), Contract Document (block), Clause Library (block), Redline Suggestion (block)
- Associations: legal_team→redline_ai:uses_service, redline_ai→contract:processes, redline_ai→clause_library:references, redline_ai→redline_suggestion:generates
- Constraints: Microsoft Word Integration, Data Privacy/Privilege Boundary, Audit Trail Requirement, Compliance Standard
- Requirements: REQ-001, REQ-002, REQ-003

**Assumptions:**

- (0.95) The system assumes that the General Counsel (GC) will find AI suggestions trustworthy enough to review, but not so perfect as to eliminate their final judgment. [req_002, legal_team]
- (0.90) The product assumes that the legal team will adopt a tool that automates mechanical redlining tasks, even if they are currently paid for or comfortable with manual processes. [legal_team, redline_ai]
- (0.85) The system assumes that the value proposition of 'minutes' for first-pass redlines is sufficient to overcome the inertia and cost associated with existing manual legal workflows. [req_001, legal_team]
- (0.75) The product assumes that the core problem is the time spent on mechanical redlining, rather than other high-value pain points like contract negotiation strategy or risk identification. [redline_ai]

**Risks:**

- (0.95 · high) The system may fail to maintain the data privacy boundary if the 'processes' association (a2) allows raw contract content access without explicit, secure handling for cross-customer isolation. [a2, no_cross_customer_training, contract]
- (0.90 · high) Achieving the 'minutes' latency target (req_001) while integrating with Microsoft Word and performing complex redlining logic may be technically infeasible due to platform overhead. [must_integrate_with_word, redline_ai, req_001]
- (0.85 · medium) The 'Audit Trail Requirement' (exportable_audit_trail) may become a significant execution bottleneck if the system must track every change suggestion and its justification across all users. [exportable_audit_trail, redline_ai, a4]
- (0.75 · medium) The system's ability to provide consistent clause application (req_003) is dependent on the quality and structure of the 'Clause Library', which may fail if it contains ambiguous or conflicting company clauses. [clause_library, a3, req_003]

**Inconsistencies:**

- (0.85) The requirement that the General Counsel must review AI suggestions (REQ-002) is satisfied by both the legal team and redline_ai, but no specific association or block property dictates this human oversight loop. [req_002, legal_team, redline_ai]
- (0.80) The constraint 'Data Privacy/Privilege Boundary' applies to both redline_ai and contract, but the model lacks a mechanism or association defining how data is processed by redline_ai while maintaining this boundary. [no_cross_customer_training, redline_ai, contract]
- (0.75) The requirement 'First-pass redlines on standard contracts must complete in minutes' (REQ-001) is satisfied by the redline_ai system, but no associated block property or association defines the speed or efficiency of this process. [req_001, redline_ai]

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 4/5 — It captured the core actors (Legal Team) and blocks (Contract, Clause Library), missing only a mention of outside counsel.
- **model.accuracy:** 4/5 — The associations are generally correct; using 'composition' for redline suggestions is appropriate, though some labels could be more precise.
- **model.parsimony:** 5/5 — The model is highly focused and only includes necessary components to address the core problem space.
- **constraint.capture:** 5/5 — All four explicit constraints were correctly surfaced as dedicated constraint blocks with appropriate application scope.
- **asm.detection:** 4/5 — Assumptions are specific (e.g., overcoming inertia) and tied to the core value proposition rather than generic platitudes.
- **risk.detection:** 5/5 — The risks identified are highly substantive, domain-specific (data privacy), and directly linked to technical constraints.
- **voice.character:** 4/5 — The findings are structured, skeptical, and concrete, focusing on failure modes rather than just listing missing items.
- **Average:** 4.43 · **Min:** 4

> This is a very strong run; the detection of specific data privacy risks and technical feasibility issues elevates it significantly.

---

### 04-skillswap — SkillSwap

- **Difficulty:** medium
- **Confidence:** 0.90
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/ZLRRZjis47tNLn2RbzPO6zlD1QaRB9AcBHeWITjiWJuA53MIMVEYafGT8J3GZ-WNzajwICfU-R900SEMPpXp3izSxDS-S1TwhGg_bgRZZcjMSR5kdUrD_TOgwzYJvZarT3ivuLUyjbjfMjPmvMdY4OfxpxuKZ7r_bgLkU7CJFTRLv4PhzP9_-_8MrZVEsUreV47FwwSrZ3zP4pvoJUpgPr8R2bBmgs8tmJCsq2DmD_HKF7i4RbUiP4sCT1S6fabNv7nHPF9NzskfrFsMT-nNnKDZdRvYt3CVpHxciXlDxDKhF_X0-kwEFRaLp_YBAd6XpsB5JKlbIlfWtS2Mp0S7kU3hFRcoSxQHYlo3OxS7_qGwNkaFwzRa4gvBbdARB83a0Zc1694qXp7mIb6PwKsXagNa6ouLhwII8HAfh5N4pGDWkYtxfMb6k1nbutU0LSgAzGYMFM7eQ8f2dpjoGNeg5Mr8mKMcrrygQgKnvAwb2UGqrP87kiw7TmWBKbCfhDOoQ381OOX26IR4OWNUGq7WP6PHUvKD9zGS_TLBHtLMuKW4OJigQ_B2oIv8QuwvZuN258JUxxaZmbnh7iIAwcjmx1I5-CID8AMetatBrVM8ZNdlXNKqLcnlB7qqdfBbwGQ76qVw6qbRoD5VLE93fCBUEWab9KyGYLqfHjF5GjaDEGN5CeK9Md2z3uTg7HfmZ_RHCcqD3GTr4g2nPRAMUoimXJM8vgZm2FpxYjXXE3HGudnYHuZOVQW_usP8oR5q1l3WngEReTFYuRBlQhH3x5NGbmq6FleJ1Jbwogdd4eqtQ84yDInFZSzaKjnmoCCsKEwzD6kgtnc6xU2bngZWazn62h0DCBMcxoRqVf0UnSNe2jvrLBC0jL9p8pwNCN6jyx4o-nxXUSZ5KI05S7HPgeS8QhYG-Jl8oQ2-QodkQBXZAQJNJ7g6mK82P8XaY-EbCP_VNLfVI-HjCKyGgBJc96Osdn_jWYN3rjf0ErzSI9KGflEvH8iQtkBqUTgp-K1kwpt5rsF9Jnf-6HUfB-4kaoUsy7cBBXQFt1krKnBnmHQNkof67XC_2Zelx_-1AXIrP6hcPBiAgFzizYdlhRW1_MoMJJ_-Dh-v-MOsO__-_K-QgFmRarkOJ5psB6njR9HuIJGtEcM_fHZFB58nSBgU1pkFc5_jzrdUYFZSguJ7oePLN4jeFnH21edLC7pDjZ90M0PDsPPepMp3_hJIGEl5XEhjXEhnyFk-wwmBBC1pg0cI66lcWllLA1YhA22_EPdPHG7UMR7YDTxm9-K_)
- **Notes:** SkillSwap Platform is the SoI; Remote Worker is the primary actor; Skill Offer and Swap Listing are key blocks.

**Model elements:**

- Blocks: SkillSwap Platform (system), Remote Worker (actor), Skill Offer (block), Swap Listing (block), Reputation Score (block), Match Criteria (block)
- Associations: remote_worker→skillswap_platform:registers_on, remote_worker→skill_offer:provides, skillswap_platform→swap_listing:manages, remote_worker→reputation_score:possesses, skillswap_platform→match_criteria:uses_for_matching
- Constraints: No money exchange, Identity verification, Disputes capped to mediator review
- Requirements: REQ-001, REQ-002

**Assumptions:**

- (0.95) The system assumes that users will actively engage in the platform enough to complete a full, positive skill swap cycle (matched, scoped, exchanged, rated) within one week of joining. [req_001, skillswap_platform]
- (0.85) The platform assumes that reputation scores derived from external sources (like LinkedIn) will be trustworthy and portable enough to facilitate high-trust matching. [match_criteria, reputation_score]
- (0.90) The system assumes that the scope of skill exchange can be reliably bounded (e.g., max 2-hour exchanges) to prevent open-ended, complex retainers. [swap_listing, skill_offer]
- (0.75) The platform assumes that the core value proposition—non-cash skill exchange—is sufficient to overcome the inertia of existing, established cash marketplaces. [req_002, no_money_exchange]

**Risks:**

- (0.85 · medium) The system lacks a mechanism to manage the reciprocal nature of skill exchange, potentially leading users to only list skills they want rather than what they can offer. [skill_offer, remote_worker]
- (0.90 · high) The model does not define how the 'scope' of an exchange is agreed upon or bounded, risking open-ended commitments that violate the initial hypothesis. [swap_listing, skill_offer]
- (0.90 · high) The 'match_criteria' block only lists `trust_level` and `skill_overlap_score`, but fails to model the necessary reciprocal matching logic required for a successful skill swap. [match_criteria, remote_worker]
- (0.80 · medium) The model does not account for the decay or maintenance of reputation over time, which is critical for maintaining trust in a non-cash exchange system. [reputation_score, skillswap_platform]
- (0.75 · medium) The `remote_worker` actor is only linked to `identity_verification`, but the model does not specify how portable reputation (from LinkedIn or similar) is actually integrated into the `reputation_score` block. [remote_worker, identity_verification, reputation_score]

**Inconsistencies:**

- (0.85) The `remote_worker` block is associated with a `composition` association (`a2`) to `skill_offer`, but the composition relationship implies that every remote worker must provide at least one skill offer, which contradicts the nature of an actor who may only be seeking skills initially. [remote_worker, a2, skill_offer]
- (0.75) The `swap_listing` block's property `required_skill` is not semantically linked to the `remote_worker` actor, making it unclear which worker's needs or skills are being represented. [swap_listing, remote_worker]
- (0.70) The `reputation_score` block is composed to the `remote_worker` actor (`a4`), but its properties (`rating`, `review_count`) are typically accumulated over time and should be modeled as a property of the system or an association, not solely owned by the worker. [remote_worker, a4, reputation_score]

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 5/5 — The model successfully identified the core actors (Remote Worker) and necessary concepts (Skill Offer, Swap Listing, Reputation Score).
- **model.accuracy:** 4/5 — Most associations are correct, but modeling reputation as a composition to the worker is inaccurate.
- **model.parsimony:** 4/5 — The model includes necessary blocks (Match Criteria) without adding excessive or fabricated filler entities.
- **constraint.capture:** 5/5 — All three explicit constraints are captured accurately and applied to the correct system components.
- **asm.detection:** 4/5 — Assumptions are specific (e.g., bounded scope, trust portability) and tied directly to core hypotheses/constraints.
- **risk.detection:** 5/5 — The risks identified are highly substantive failure modes (reciprocity, scope definition, matching logic).
- **voice.character:** 4/5 — Findings are concrete and technical, though some risk descriptions could be slightly more concise.
- **Average:** 4.43 · **Min:** 4

> This is a very strong run; the detection of failure modes related to reciprocity and scope definition was particularly insightful.

---

### 05-cyclist-thing — Cyclist Thing

- **Difficulty:** failure-prone
- **Confidence:** 0.30
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/TLBDIWCn4BxdAORsjb1fQoigPQaMnOk2Mi-IJMPtW_cfoMnB4S67y0bz4cTPAwNY9OSlttm_mymJoKYDioAz6B-IKJeef7gfOcYyNWGR8lJBAPOutcEaMkgmCRw2Kjg4Up_AofJWJG1S_b7HfIo7xK-86kCFMfpAizCnenSnXiqFU89JVQmPl0wUxgH3wDsWNICP9NlYVS_F1y9_x8Puh2R_sBsBscW4T2lQWaDNO4n2TE5xYwso9X4iQsxO0vb0TSWpjGZCPccR25sUGt-i9lAaE9XC-qDCbuf2pFDVWoUliJGUDJogiCAEFMAY2ZvHbCOJQxUjbZL2PmQffO9hMB50s0aKM8R8SD1essnAUbZ5e13r4RSKkn23GNxGuXoQX5pQOeLUGpHLJUoOPG_usfY83ZsbBEkWg_l1S3ZAClZw-8JRDWERhDiLDcIiuILI0EAmV4qLKYiTZmJhTkfYpWyVsJS0)
- **Notes:** The seed is too vague to generate a detailed model. The system of interest (SoI) is named 'Cyclist Thing' as per the input title, and the primary interaction is between the Cyclist actor and the SoI.

**Model elements:**

- Blocks: Cyclist Thing (system), Cyclists (actor)
- Associations: cyclist→cyclist_thing:uses
- Constraints: Undefined Scope
- Requirements: REQ-001

**Assumptions:**

- (0.90) The product must be useful enough that cyclists will adopt and use it despite its undefined scope. [req_001, c1]

**Risks:**

- (0.95 · high) The current scope is too vague, making it impossible to define specific features or measurable success criteria for 'Cyclist Thing'. [c1, cyclist_thing]
- (0.90 · high) The model lacks any defined interaction mechanism (e.g., data input/output, physical integration) between the 'cyclist' actor and the 'cyclist_thing' system. [a1, cyclist]
- (0.85 · medium) The requirement 'Must provide utility to the target user' is non-specific and cannot be translated into testable or measurable product features without further definition of 'utility'. [req_001]

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 3/5 — It correctly identifies the core actor (Cyclist) and SoI, but misses key domain entities like 'Bike' or 'Route'.
- **model.accuracy:** 5/5 — The model is structurally sound; associations and blocks are used appropriately given the minimal input.
- **model.parsimony:** 4/5 — It avoids padding with filler entities, keeping the scope tightly focused on the immediate inputs.
- **constraint.capture:** 3/5 — It captures 'Undefined Scope' but fails to surface any meaningful non-functional constraints (e.g., performance, security).
- **asm.detection:** 4/5 — The assumption is specific ('adopt and use') and tied to the vague scope, pushing back appropriately.
- **risk.detection:** 5/5 — It correctly flags the vagueness of the scope and lack of defined interaction mechanisms, which is critical for this seed type.
- **voice.character:** 4/5 — The notes are professional and appropriately cautious, though slightly generic in tone.
- **Average:** 4.00 · **Min:** 3

> This run handles the vague-seed difficulty well by focusing on process gaps (risks) rather than filling content gaps. A stronger effort would suggest specific domain entities.

---

### 06-eventstream — EventStream

- **Difficulty:** hard
- **Confidence:** 0.92
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/TPBDJkmm38NtVGfhsB90mu_W2etu4OWLke876Bc9Mw99uifE6OtGlFjrIwywWDZL9-xvZftSQ44fVOgLRaBkK311ZMxJ2lVPttDaWQFcd1fQ7dJe6thUXjn2Wr7fuCH5L8MF2k3kXujli3aPJbWyoQJMbtXrkJJrLeItatX1v_xKc_Z8kJnZ8bWyKNod4Xmkglq1BtEXNt0dTEhEVi7jgxVW2IXrPGU9KasYLVKPVl7mJhcy5Y5C2q056ceTwxNkj522w-lFZzKAZfRk32_gCKGdNDXnN3jE7PPGXnWCy0TgvaYOhIK6Hrd9D7Eq3LgK2VjNsFUEP6HsKs4aT8N5G0CWOcvxR8VVAVVfe-NzR73FMViq6RYfc0s-Z0Slv6mlytnh6GLhhoExpSJhS1SP_PmMe8H4zcXIPw95iCtD2OPBw8HKUo5u3Mt6E1Bg0tsje_uDP8wbr_zZyUPO8s-FdOJXokCmP5NTKFRsKly1)
- **Notes:** EventStream is the SoI; Producer and Consumer are actors; Event Record and Backpressure Signal are first-class data blocks.

**Model elements:**

- Blocks: EventStream (system), Producer (actor), Consumer (actor), Event Record (block), Backpressure Signal (block)
- Associations: _none_
- Constraints: _none_
- Requirements: _none_

**Assumptions:**

- (0.95) The system must be able to communicate backpressure signals in-band, meaning the `Backpressure Signal` block must be integrated into the core data flow. [backpressure_signal]
- (0.90) The system assumes that platform engineers will prioritize operational simplicity (single binary, no ZooKeeper) over existing industry standards like Kafka's ecosystem. [eventstream_system]
- (0.85) The system assumes that the `Producer` actor can be made wire-compatible with existing Kafka protocols while simultaneously introducing a novel backpressure signaling mechanism. [producer, eventstream_system]

**Risks:**

- (0.90 · high) The requirement for wire-compatibility with the Kafka producer protocol (eventstream_system) while simultaneously enforcing a first-class, in-band backpressure signal (backpressure_signal) may necessitate complex serialization layers that compromise the goal of operational simplicity. [eventstream_system, backpressure_signal]
- (0.80 · medium) The model lacks any defined mechanism or element to enforce the 'Go-native' requirement for the producer (producer), which is critical to achieving the desired operational simplicity and single binary constraint. [producer]
- (0.90 · high) The system design does not account for how consumer lag or backpressure signals are observed by the producer in-band (backpressure_signal), making the core value proposition of the product unaddressed. [producer, consumer, backpressure_signal]
- (0.70 · medium) The constraint of running on a single node up to 100k events/sec (seed) conflicts with the need for wire-compatibility with Kafka's distributed architecture, potentially limiting scalability or increasing operational complexity. [eventstream_system]

**Inconsistencies:**

- (0.85) The system block 'EventStream' requires protocol compatibility and license properties, but no associations or requirements link these properties to any specific element. [eventstream_system]

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 3/5 — It identified core actors (Producer/Consumer) and data blocks (Event Record, Backpressure Signal), but missed key system components like the flow control mechanism itself.
- **model.accuracy:** 2/5 — The model is structurally weak; it lists entities but provides no associations or relationships to show how they interact in a streaming context.
- **model.parsimony:** 4/5 — The model is appropriately sparse and only includes necessary elements without adding unnecessary 'filler' blocks.
- **constraint.capture:** 2/5 — It failed to capture the critical operational constraints (Go-native, single binary) or link them as requirements/constraints on specific components.
- **asm.detection:** 4/5 — Assumptions are highly relevant and focus on core technical trade-offs (simplicity vs. standards), which is excellent.
- **risk.detection:** 5/5 — The risks identified are substantive failure modes, directly challenging the feasibility of combining Kafka compatibility with novel flow control.
- **voice.character:** 4/5 — The findings are highly technical and skeptical, focusing on architectural conflicts rather than generic business concerns.
- **Average:** 3.43 · **Min:** 2

---

### 07-pet-translator — Pet Translator

- **Difficulty:** failure-prone
- **Confidence:** 0.90
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/XLN1Rjj64BtpAmREGQrWgQwT18aG64cA5WbGr4qGv4eCTuVKmiiTTdSfXqaDz2FoXVcIpfAKGz5MUv74cTrvRzxCerw6Y3wsjSt2jN4DUgoXG7LTUMwT_eKjUtXKFg6IpYSdmXOrtnXNGOasq2IZB8O0NpA0r_Ugw1BBivHXhycFqU8PFdzsBj5NtlFD67nAJ_I5bk1lxE8VM1ESl26xesWKdcIt4pp7aOx0dT65Udm4xZRR6ar0THCxgAako8Si6yYV_4aHFdXqmM9aVm8OeA6OnxiGl7WHkX2flho4H-VgCJujUWxOQiEvK6jZ7g8duRS1-I52INOdYCUpL7CqxD1A3YFbDMkoSg1WjeHE64_ONTqu-awCqvDmGYNSX5AYiiMGQwuc1OQOmdYiw4TMQCrdJ3JkQkycGO4eBAlh4MBeLcF4QH-bfxzQSghBGqCg-dRIvG7SQzOT_8wkQh6YExn2ehaTepF0GS0vOCE1yclg6ZOkXWV0thf8ll4KXoQksYWJw07DGIRdFZC3dSr5wfDhwo-DnQvixQbglU4sdABxr7yhMLXoyLPkXhQgIBP4vxLedSmouROdT-LMcdP6aP0foOjm1ALiMEFD3bKtw3By5crakz5tmb1Wf1HA0oFDLzRAELOKGaAgsn21bR03coPeEv3MuvPWH4EdGQ4J-q3RM4ODMw5FMxPw6EnFlTgGr5v_r_8DEsa9KAZ4mUkc54_smku2x2sotw3-MOpQxqF3rgW7oNyGNkmAHgyJ-R6FeGdwrCWr4wK3RSfUecZI80gADqGE5kE4PdGMVOkB2QF5Uf64dpZcxzLgxkmDY0eXcqLNgylxRjZiYHu_VxZD6w64jljy__nIY3oyZ1keIBXAmt9flWVhzULz_jY8O1JooDb3yl_VdSoI86hmfjf6cSro-LuCRJpL8dnOBeVGh-zMPsS_BvVmxP-lmzie255P31cBLDfXOUaqIIaUcNK6NAP5D3xHM0Guq3JDB8a6Uz7M4xpp4I-jo_3-7LV4XTRJtYPGT5BPYudgj4oo-nDh7PXWMllYI6svAeLI9zBXiFQfWCEO8AKL8--SSLO__ASXVbndekkWRlPIFkHFzry0)
- **Notes:** Pet Translator is the SoI; Pet Owner is the primary actor; Vocalization and Body Language are first-class inputs/blocks.

**Model elements:**

- Blocks: Pet Translator (system), Pet Owner (actor), Pet Vocalization (block), Pet Body Language (block), Interpretation Output (block)
- Associations: pet_owner→pet_translator:uses, pet_translator→pet_vocalization:processes, pet_translator→pet_body_language:analyzes, pet_translator→interpretation_output:generates
- Constraints: On-device inference for privacy, Honest about classification vs translation
- Requirements: REQ-001, REQ-002, REQ-003

**Assumptions:**

- (0.95) The system assumes that pet owners will find the generated interpretation output (interpretation_output) believable and useful enough to satisfy REQ-001. [req_001, interpretation_output]
- (0.85) The model assumes that pet owners (pet_owner) will actively use the Pet Translator system (pet_translator) despite the technical complexity of providing both audio and video input streams. [a1, pet_owner, pet_translator]
- (0.80) The design assumes that the combination of audio data (audio_data) and video data (video_data) is sufficient to accurately infer emotional state, making the combined input streams necessary for pet_translator. [pet_vocalization, pet_body_language, a2, a3]
- (0.90) The system assumes that the technical feasibility of running all inference on-device (privacy_boundary) will not compromise the accuracy or performance required to meet REQ-001. [req_001, req_002, privacy_boundary]

**Risks:**

- (0.90 · high) The on-device inference constraint for processing both audio and video streams simultaneously may lead to unachievable latency targets or excessive battery drain on consumer-grade hardware. [pet_translator, privacy_boundary]
- (0.85 · high) The model does not specify how the 'suggested_meaning' in the interpretation output is generated, creating a risk that the output will be perceived as random or ungrounded if the underlying logic is weak. [interpretation_output, req_001]
- (0.75 · medium) The system relies on the pet owner providing both audio and video streams simultaneously; if one stream is missing or of poor quality, the combined analysis may fail to meet the 'believable' interpretation requirement. [audio_input_stream, video_input_stream, a2, a3]
- (0.95 · high) The 'emotional_state_model' is a critical, undefined component that could fail to accurately classify nuanced pet emotions, undermining the core value proposition of the entire system. [pet_translator]

**Inconsistencies:**

- (0.85) The association 'a2' states that the system processes pet vocalization, but the `kind` of the associated block `pet_vocalization` is merely a data container and does not represent an input stream. [a2, pet_translator, pet_vocalization]
- (0.85) The association 'a3' states that the system analyzes pet body language, but the `kind` of the associated block `pet_body_language` is merely a data container and does not represent an input stream. [a3, pet_translator, pet_body_language]
- (0.75) The system's properties list `audio_input_stream` and `video_input_stream` on the `pet_translator` block, but no associated input blocks are linked to these specific property names. [pet_translator]
- (0.70) The requirement REQ-001 promises that owners get a believable, useful interpretation of their pet's vocalization and body language, but the `interpretation_output` block only satisfies this without explicitly linking to the input data sources (vocalization or body language). [req_001, interpretation_output, pet_vocalization, pet_body_language]

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 4/5 — The model captured the core actor (Pet Owner) and necessary inputs/outputs, but missed key domain entities like 'Veterinarian' or 'Pet Type'.
- **model.accuracy:** 3/5 — Using generalization for a primary user relationship is questionable; classifying input blocks as data containers rather than streams would improve accuracy.
- **model.parsimony:** 4/5 — The model is focused and avoids excessive filler entities, keeping the scope tightly aligned with the core problem domain.
- **constraint.capture:** 5/5 — Both explicit constraints (on-device, honesty) are perfectly captured as both dedicated blocks and requirements. This is excellent.
- **asm.detection:** 4/5 — Assumptions are highly specific (e.g., technical feasibility vs accuracy), moving beyond generic user adoption platitudes.
- **risk.detection:** 5/5 — The risks identified are high-severity, domain-specific failure modes (latency, ungrounded output) directly tied to the core technology.
- **voice.character:** 4/5 — The findings are highly structured and technical, maintaining a skeptical, critical tone appropriate for feasibility assessment.
- **Average:** 4.14 · **Min:** 3

> This is a very strong run; the risk detection was excellent, particularly in flagging technological failure modes. Minor improvements could be made to model relationships.

---

### 08-quiet-hours — Quiet Hours

- **Difficulty:** medium
- **Confidence:** 0.90
- **Diagram:** [view online](https://www.plantuml.com/plantuml/uml/ZLJ1JXin4BtlLup21I8bIWD5j48H557W02sqzzMiFRiPnMiljfUK8gH-HB-mNzBPtIIa9P6u9D7pp7lZUIy-2H5zh4kJX1dR2ZsMaA6Q5TxLLfyvuppivEyff_5QHPYYTdEs1UHe0gsTA8CXm5C2yEaLYyun7pKdpclo2pGxmWz7Oq5FlNVp1NX8x_M-5l2pi_46IuBU9Pa7YgombpolwLaNQOlSYFRLmHQvvsJAce3AAZv2IML6FYH9DtpljcQASEbg7-3ROuXKzW03t3TmEctWDBGm71ztFoOJs1ch0ppCbXnNLlC3wneDdCaTF6TrTBxbuTLHgbwEX0kLV4ycIufpMx0byisQhz5YGLq_lU1fsU6lcy_GaDNeuVJhLTkb5a2A5KjvPfoQlPHVa-nMTExelgOGsuwomrBVOMjDowuxGZsOUnOBBfmh3C5A5gs6BtKqpirWzvgLTy7b4IuyLjCzMK6amcDaPrifBqGjJxfs8eAodn0z2YWRVXBNbkFMCe-dK96A4BcadyuIQCvpycGLoP9-L8OLH_CeOb1vLxaWKMtLbWtfac6xq8q357TA6KX1U_rcItEE4eC8TP3LIslElkn6piN8E2KGH2RS7u76nm2xMSr6G_GozjuY0nnP0j12QILcEhrfZ6HBM0Q3oOOy9fkYiQLqGvhxWy4_CKd-Jy0Mgitk3OURYk4ZO2NMK4YZIruvyPQcZRjxIsDYg93BWUTY6kLXwFURkBEdacmC_Nu7dTyEHgDt_Jxy-VKRlekN2wgooHpPK7jgBMxDzsGOCmbPGJ40HZ24KZPkKX6vg5qTG1DLWxdpiov00MHac1FDXck2uos2gAPC3uqYXrNkb0ljltKrHkKCDs-Z4VygZcY64WNTNJSvaGzvuFy2)
- **Post-validate:** stripped 3 refs, dropped 1 findings

**Model elements:**

- Blocks: Quiet Hours System (system), Individual Contributor (actor), Engineering Manager (actor), Calendar API (block), Meeting Request (block)
- Associations: individual_contributor→quiet_hours_system:, engineering_manager→quiet_hours_system:, quiet_hours_system→calendar_api:, meeting_request→quiet_hours_system:
- Constraints: Read-write Google Calendar and Outlook (Microsoft Graph) integration, Must respect timezone differences explicitly in proposals, No automatic blocking without user confirmation for the first 30 days (build trust)
- Requirements: REQ-001, REQ-002

**Assumptions:**

- (0.95) The tool assumes that negotiating protected blocks invisibly (proposing alternative meeting times) will successfully prevent the user from incurring social cost or political capital loss. [req_002]
- (0.85) It is assumed that individual contributors and engineering managers are willing to adopt a tool that proactively manages their calendars without explicit manual intervention. [individual_contributor, engineering_manager, a1, a2]
- (0.80) The product relies on the assumption that existing corporate cultures are sufficiently receptive to a tool that attempts to manage and negotiate meeting schedules on behalf of its users. [req_002]

**Risks:**

- (0.85 · high) The model does not specify how the system will handle conflicts when a proposed deep-work block overlaps with an existing, high-priority meeting that cannot be rescheduled. [quiet_hours_system, meeting_request, calendar_api]
- (0.90 · high) The system's ability to negotiate protected blocks invisibly relies on the 'Calendar API' having sufficient read/write permissions and intelligence to interpret meeting priority and attendee availability across both Google Calendar and Microsoft Graph. [calendar_api, readwrite_integration, quiet_hours_system]
- (0.75 · medium) The 'initial_trust_period' constraint requires the system to build trust, but the model lacks any defined mechanism for measuring or improving user trust, making successful adoption uncertain. [quiet_hours_system, initial_trust_period]
- (0.80 · medium) The model does not account for the complexity of coordinating deep-work blocks across multiple time zones and different organizational cultures, potentially leading to proposals that are impractical or ignored. [timezone_respect, quiet_hours_system]

**Inconsistencies:**

- (0.90) The association `a4` from `meeting_request` to `quiet_hours_system` is semantically incorrect because a meeting request should be an input or trigger for the system, not merely associated with it.
- (0.85) The requirement `req_002` (achieving focus without costing political capital) is an over-broad claim because the current blocks lack mechanisms to model or enforce 'political capital' or social cost.

**Judge scores** (LLM-as-judge — sanity check, not final):

- **model.coverage:** 4/5 — It correctly identified the core actors (IC/EM) and system components (Calendar API), but missed key concepts like 'meeting' or 'deep work block'.
- **model.accuracy:** 3/5 — The associations are too sparse; while composition is used for the API, more explicit relationships between meeting requests and the system are needed.
- **model.parsimony:** 4/5 — The model is appropriately focused on core components without adding unnecessary filler blocks or entities.
- **constraint.capture:** 5/5 — All three explicit constraints were captured accurately and applied to the system block where they belong.
- **asm.detection:** 4/5 — The assumptions are specific (e.g., negotiating invisibly) and tied directly to core requirements/actors, avoiding generic platitudes.
- **risk.detection:** 5/5 — Risks are highly substantive, domain-specific (API limitations, conflict handling), and tie back to explicit constraints or system functions.
- **voice.character:** 4/5 — The findings are structured, critical, and specific, maintaining a professional, skeptical tone without being overly verbose.
- **Average:** 4.14 · **Min:** 3

> This is a strong run; the risk detection was excellent. Improving model coverage by adding 'Meeting' or 'Deep Work Block' entities would make it near-perfect.

---