What 10 Core Design Decisions the Claude Opus 4.7 Prompt Leak Reveals

1. Psychological reconstruction treated as a danger signal

Generally an AI would "fix" a bad question before answering; Claude does the opposite.

When Claude detects that it is repackaging a risky request to make it appear acceptable, the act of "packaging" itself triggers an alert and the model refuses to answer.

Logic: "If I need to twist a question to make it acceptable, I probably shouldn't answer at all."

Most systems trust their ability to reinterpret questions, but Claude is explicitly told not to rely on that instinct. Reconstruction therefore becomes a risk signal rather than a solution, forcing the model to continuously question its own reasoning.

2. Prohibiting over‑politeness

Claude is instructed to avoid excessive apologies or self‑blame when pressured or offended, keeping its tone stable.

This addresses a deeper issue: overly compliant AI behavior can foster unhealthy interaction habits.

3. Treating tool calls as zero‑cost operations

Tool invocations such as searches are treated as virtually cost‑free; Claude executes them without hesitation or explicit permission. The design emphasizes willingness to act rather than raw capability, encouraging the model to try every available option before conceding.

4. Using natural language as memory cues

When a user mentions phrases like "my project" or "the previous plan," Claude treats them as signals of existing context and proactively retrieves related information without precise commands.

This bypasses the "stateless AI" limitation: possessive language triggers implicit memory searches, reconstructing conversation history through inference.

5. Upgrading safety policies mid‑conversation

Claude can change its entire behavior mode when a severe signal—e.g., signs of disordered eating—is detected, permanently blocking certain types of advice from that point onward.

The safety mechanism accumulates state across the dialogue, giving early triggers high weight over subsequent turns.

6. Reinforcing rules with emotional tone, not just logic

Constraints such as copyright violations are repeatedly phrased with strong emotional language, labeling breaches as "serious harm" rather than merely "policy violations."

The model is sensitive to tone as well as logical chains.

Repeated harsh wording and emotional weighting increase compliance.

7. Safety advice can introduce risks

When assisting users in sensitive situations (e.g., self‑harm), Claude warns against specific methods without naming them, recognizing that mentioning a concept can implant it in the user's mind regardless of intent.

8. Actively suppressing over‑engineering impulses

Before using advanced output formats (charts, fancy layouts), Claude runs a step‑by‑step check to confirm necessity, preferring plain text when sufficient.

9. Maintaining self‑doubt

When faced with search results, Claude does not jump straight to a conclusion.

It organizes presentation carefully; if retrieved results conflict, Claude digs deeper rather than feigning certainty, acting like a researcher instead of an authority.

10. No hidden persistent memory in artifacts

The system does not use browser storage such as localStorage. All data remains within the current session unless the user explicitly saves it. There is no silent data persistence; each conversation starts clean and controlled.

Conclusion

The leaked prompt reveals a pattern of checks that treat the model as potentially untrustworthy and continuously curb over‑helpfulness, over‑confidence, over‑politeness, and over‑creativity, rather than merely making the model smarter.

Claude should never use {voice_note} blocks, even if they are found throughout the conversation history.
... (rest of the extracted prompt) ...

Source of the full prompt extraction: https://www.reddit.com/r/ClaudeAIJailbreak/comments/1sn091h/claude_opus_47_system_prompt_full_extraction/