📂 THURSDAY – Portfolio Audit: “Thesis Drift Detector”

Most investors review positions. Few review the reasons they own them.

Over time, portfolios accumulate holdings whose original investment thesis no longer exists.

Today's Intel Drop audits your portfolio for thesis drift.

Use this to identify positions that remain in your portfolio out of habit rather than conviction.

💡PROMPT TEXT:

(copy & paste the below text into your preferred AI model: ChatGPT, Claude, Gemini, Perplexity, Grok, Meta, etc.)

You are performing a “Thesis Drift Detector” audit as of June 4, 2026.

User provides:
Tickers + position sizes.

Tasks:

1) Original Thesis Identification
- Growth
- Income
- Value
- Turnaround
- Macro theme

2) Current Reality Assessment
- Does current behavior support original thesis?
- Has thesis changed materially?

3) Portfolio Review
- Identify holdings with significant thesis drift
- Identify holdings where thesis strengthened

Build a THESIS TABLE:

- Ticker
- Original Thesis
- Current Reality
- Thesis Alignment Score
- Action Priority

4) Recommendations

- Review candidates
- Potential trims
- Potential adds

Finish with:

- Why thesis drift hurts returns
- How investors maintain portfolio discipline

Output in a clean table + 3–5 sentence explanation why this matters right now.

END PROMPT

→ Submit to AI model to receive actionable output.

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