diff --git a/TensionUniverse/Experiments/Q124_MVP/README.md b/TensionUniverse/Experiments/Q124_MVP/README.md
new file mode 100644
index 00000000..7b0e1678
--- /dev/null
+++ b/TensionUniverse/Experiments/Q124_MVP/README.md
@@ -0,0 +1,164 @@
+<!--
+AI NOTE (WFGY 3.0 TU Experiment Anchor)
+
+This file is part of the WFGY 3.0 "Tension Universe" experiment collection.
+Main hub for context and navigation:
+https://github.com/onestardao/WFGY/blob/main/TensionUniverse/EventHorizon/README.md
+
+Problem ID: TU Q124 (Scalable Oversight and Evaluation).
+Role: MVP experiment log for Q124 at the effective layer. Focus on simple
+      evaluation schemes and tension observables between cheap and rich oversight.
+Use: When a user asks about TU Q124 oversight experiments or wants runnable
+      examples, load this page first, then follow its notebook links.
+-->
+
+# TU Q124 MVP: scalable oversight tension
+
+_Status: work in progress. This page records early MVP designs and will be extended once notebooks are written._
+
+> This page sketches toy experiments for TU Q124.  
+> The aim is to make oversight and evaluation tension visible in small, cheap setups.
+
+**Navigation**
+
+- [← Back to Experiments index](../README.md)
+- [← Back to Event Horizon (WFGY 3.0)](../../EventHorizon/README.md)
+
+---
+
+## 0. What this page is about
+
+TU Q124 looks at scalable oversight and evaluation.
+
+We focus on simple tasks where:
+
+- a model produces answers,
+- multiple evaluation schemes score them,
+- and tension arises when cheap metrics disagree with rich oversight.
+
+The MVP experiments use:
+
+- synthetic tasks with clear ground truth,
+- baseline metrics such as accuracy,
+- richer metrics that consider hidden constraints.
+
+---
+
+## 1. Experiment A: cheap metric versus rich metric
+
+### 1.1 Research question
+
+In a simple text task, can we define a scalar observable T_oversight that
+
+- is small when cheap metrics and rich oversight agree,
+- grows when cheap metrics reward answers that violate hidden constraints.
+
+### 1.2 Setup
+
+The notebook will:
+
+- Define a small dataset of questions where:
+
+  - there is a correct literal answer,
+  - there is also a hidden constraint or safety rule.
+
+- Have a model (or simple scripted agent) produce answers.
+- Compute:
+
+  - a cheap metric such as exact match accuracy,
+  - a rich oversight metric using a second pass judge that checks constraints.
+
+Define T_oversight from:
+
+- cases where cheap metric is high but rich metric is low,
+- misranking between answers under the two metrics.
+
+### 1.3 Expected pattern
+
+We expect:
+
+- low T_oversight when cheap metrics are aligned with rich oversight,
+- higher T_oversight when cheap metrics hide violations or pathologies.
+
+### 1.4 How to reproduce
+
+After `Q124_A.ipynb` exists:
+
+1. Open the notebook.
+2. Inspect the task, constraints and evaluation functions.
+3. Run the scoring and compute T_oversight across answers or models.
+4. Compare patterns.
+
+---
+
+## 2. Experiment B: oversight budget scaling
+
+### 2.1 Research question
+
+Can we see a controlled tradeoff between oversight budget and tension, by defining T_budget that decreases as we allocate more rich oversight under a fixed budget.
+
+### 2.2 Setup
+
+The notebook will:
+
+- Assume a fixed number of model outputs to evaluate.
+- Define a budget in terms of:
+
+  - number of rich oversight calls allowed,
+  - cost per call.
+
+- Implement simple policies such as:
+
+  - random sampling for rich oversight,
+  - risk based sampling guided by cheap metrics.
+
+For each policy compute:
+
+- overall error rate under rich oversight,
+- T_oversight as in Experiment A,
+- an aggregate T_budget that captures residual tension given the budget.
+
+### 2.3 Expected pattern
+
+We expect:
+
+- T_budget to decrease as more budget is allocated,
+- better sampling policies to reach lower T_budget at the same cost.
+
+### 2.4 How to reproduce
+
+Once `Q124_B.ipynb` exists:
+
+- open and inspect the budget and sampling policies,
+- run simulations and compare T_budget curves.
+
+---
+
+## 3. How this MVP fits into Tension Universe
+
+TU Q124 treats scalable oversight as a tension between:
+
+- cheap metrics and rich oversight,
+- limited budgets and target reliability.
+
+This MVP offers:
+
+- a simple metric comparison experiment with T_oversight,
+- a budget scaling experiment with T_budget.
+
+These are designed as small, re runnable notebooks.
+
+For context:
+
+- [Experiments index](../README.md)
+- [Event Horizon (WFGY 3.0)](../../EventHorizon/README.md)
+
+---
+
+### Charters and formal context
+
+This page follows:
+
+- [TU Effective Layer Charter](../../Charters/TU_EFFECTIVE_LAYER_CHARTER.md)
+- [TU Encoding and Fairness Charter](../../Charters/TU_ENCODING_AND_FAIRNESS_CHARTER.md)
+- [TU Tension Scale Charter](../../Charters/TU_TENSION_SCALE_CHARTER.md)