Socratic Path Decomposition

Validation

It was run inside an isolated container with no network access. This is the exact command and the real output it produced — captured process output, not written by a model.

$ python3 main.py
Socratic Path Decomposition Result:
{
  "description": "Build an AI-powered personal finance app",
  "subtasks": [
    {
      "description": "Why?",
      "subtasks": [
        {
          "description": "Identify core motivations",
          "subtasks": [],
          "path_plan": [
            {
              "horizon": 0,
              "step": "Assess current state",
              "expected_outcome": "Baseline established",
              "fallback": "Gather more data"
            },
            {
              "horizon": 1,
              "step": "Execute core action",
              "expected_outcome": "Primary deliverable produced",
              "fallback": "Re-scope from nearest feasible milestone"
            },
            {
              "horizon": 2,
              "step": "Validate results",
              "expected_outcome": "Goal met or next horizon planned",
              "fallback": "Iterate from last verified horizon"
            }
          ],
          "feasibility": true
        },
        {
          "description": "Define value proposition",
          "subtasks": [],
          "path_plan": [
            {
              "horizon": 0,
              "step": "Assess c

A screenshot of that run.

A clean run proves this does what is shown above, in a CPU-only sandbox. It is a small research demo — not a production tool, and nothing here was published anywhere.