The sample output pack shows how Thesis OS feels in operation without exposing private data.
Path:
examples/sample_outputs/
All files in the pack are synthetic and marked:
sample: true
public_sanitized: true
not_financial_advice: true
source_policy: synthetic_example| Output | Why It Exists |
|---|---|
| Thesis card | Shows how a living investment thesis is structured |
| Nightly Top 5 deep dive | Shows the collection -> screening -> judgment handoff |
| Concentrated strategy review | Shows portfolio-level common-driver thinking |
| Screener discovery results | Shows how Alpha compresses candidates |
| Screener performance feedback | Shows the closed loop from signal to outcome |
| Prediction ledger accountability | Shows hits and misses together, with process and result scores separated |
| Social collection summary | Shows how qualitative signals are summarized safely |
Public examples should demonstrate the loop, not reveal the deployment.
The examples should never include:
- real account data
- private holdings or exact portfolio weights
- raw community messages
- private channel IDs or user handles
- secrets, tokens, cookies, OAuth state, or API keys
- paid-feed raw data
- non-public company information
New contributors can read the sample outputs in this order:
screener-discovery-results.mdnightly-top5-deep-dive.mdthesis-card-ai-infrastructure-basket.mdnightly-concentration-strategy.mdscreener-performance-feedback.mdprediction-ledger-accountability.mdsocial-collection-summary.md
This order follows the operating loop:
collect -> screen -> compress -> judge -> record -> evaluate -> improve