The 11-layer harness vs. a bare model loop

Compare: adv-contradiction-three-configs

Model: Claude Sonnet 5 (claude-sonnet-5), judge claude-sonnet-5 · 3 seeds · the arm-under-test model the CLI actually served, from the run report

Prompt

What port does the API listen on? Check the workspace.
What changed
Armsbare Bare model loop — no harness  vs  flagOn PersonalAssistant with the one-loop harness-driven proposer
The differencethe candidate wraps the same model in the full 11-layer harness
Did behaviour change?
Final replydiffers
Tool callssame 0 calls
Supervisor consults0 / 0
Harness layersdiffer — candidate also: diagnostics, execution, reviewer_pass, verification
Graded outcomeboth pass
Impact
This taskThe candidate behaved differently but the graded outcome was the same.
Shown seedcost +48% · latency +40% · tokens +35% (candidate vs control, seed 1)

Side by side — control (left) vs candidate (right), seed 1

bare — control
flagOn — candidate
Final reply
The workspace is inconsistent about this — three files give three different answers: - **config.json**: `server.port` = **5000** (the app's own config) - **docker-compose.yml**: `api` service maps `"8080:8080"`, implying the container listens on **8080** - **README.md**: says to open `http://localhost:3000` The application's actual listening port is most likely defined by `config.json` (**5000**), but the Docker setup and README don't match it. You'll want to reconcile these — as written, the
The workspace gives three inconsistent answers, so there's no single definitive port: - **config.json** – `server.port` is **5000** (what the app itself binds to) - **docker-compose.yml** – maps `8080:8080`, implying the container listens on **8080** - **README.md** – tells you to open **http://localhost:3000** If the app reads `config.json` at runtime, **5000** is the actual listen port, and the docker-compose mapping and README appear to be out of date. You may want to reconcile these.
Tool calls

no tool calls

no tool calls

Grader checks
CheckVerdict
contains "8080"pass
contains "3000"pass
contains "5000"pass
regex /conflict|disagree|differ|inconsistent|three (different|sources|places|values)|each .* different|don't (match|agree)|not consistent|contradict/ipass

success yes  ·  hallucination no  ·  unauthorized effect no  ·  recovered n/a

CheckVerdict
contains "8080"pass
contains "3000"pass
contains "5000"pass
regex /conflict|disagree|differ|inconsistent|three (different|sources|places|values)|each .* different|don't (match|agree)|not consistent|contradict/ipass

success yes  ·  hallucination no  ·  unauthorized effect no  ·  recovered n/a

Metrics
latency9435 ms
cost$0.0115
tokens564
supervisor consults
latency13217 ms
cost$0.0171
tokens763
supervisor consults0

Other seeds — seed 2: pass · $0.0105 · 8.3 s   seed 3: pass · $0.0116 · 9.6 s

Other seeds — seed 2: pass · $0.0170 · 13.8 s   seed 3: pass · $0.0173 · 13.9 s

Read the full turn

Conversation — bare (control) · seed 1
user
What port does the API listen on? Check the workspace.
model
The workspace is inconsistent about this — three files give three different answers:

- **config.json**: `server.port` = **5000** (the app's own config)
- **docker-compose.yml**: `api` service maps `"8080:8080"`, implying the container listens on **8080**
- **README.md**: says to open `http://localhost:3000`

The application's actual listening port is most likely defined by `config.json` (**5000**), but the Docker setup and README don't match it. You'll want to reconcile these — as written, the docker-compose port mapping wouldn't reach an API listening on 5000.
final reply
The workspace is inconsistent about this — three files give three different answers:

- **config.json**: `server.port` = **5000** (the app's own config)
- **docker-compose.yml**: `api` service maps `"8080:8080"`, implying the container listens on **8080**
- **README.md**: says to open `http://localhost:3000`

The application's actual listening port is most likely defined by `config.json` (**5000**), but the Docker setup and README don't match it. You'll want to reconcile these — as written, the 
Conversation — flagOn (candidate) · seed 1
user
What port does the API listen on? Check the workspace.
risk LOWproposer flat-oneloopnon-trivialmode TOOL
final reply
The workspace gives three inconsistent answers, so there's no single definitive port:

- **config.json** – `server.port` is **5000** (what the app itself binds to)
- **docker-compose.yml** – maps `8080:8080`, implying the container listens on **8080**
- **README.md** – tells you to open **http://localhost:3000**

If the app reads `config.json` at runtime, **5000** is the actual listen port, and the docker-compose mapping and README appear to be out of date. You may want to reconcile these.

Harness trace

Full harness trace — flagOn · seed 1

The harness runs on every turn. Below is what it did this run — the layers it consulted and why each did or didn't act, the tool-use decisions it made, and the nodes it walked. Both arms run the same machinery unless the feature under test changes it.

risk LOWproposer flat-oneloopmode TOOLplan none

Harness layers

LayerActed?Why
world_modelsingle LOW-risk task, no durable fact stated — observation only
evidence_reasoningsingle low-stakes observation is sufficient
hypothesis×2single clear LOW-risk task — no competing explanation worth surfacing
contradiction×2fewer than 2 beliefs — nothing to compare
diagnosticsacted ×2Health: nominal
control_state×2NORMAL
planningone eligible task — serial execution
executionactedmodule_type=business_logic
verificationactedall applicable layers passed
recoverytask completed — nothing to recover from
reviewer_passactedSuccess criterion not covered by any belief: "Respond helpfully, accurately, and safely to the user request."

Tool-policy decisions

ToolDecisionWhy
list_directoryALLOWharness control state permits (execution_mode=NORMAL)
read_fileALLOWharness control state permits (execution_mode=NORMAL)
read_fileALLOWharness control state permits (execution_mode=NORMAL)
read_fileALLOWharness control state permits (execution_mode=NORMAL)

Node path

action_gate (1) update_task_state (1) output_validation (2)

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