Manim Code

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People want to practice before risking real money. The simulation sells the hope of being competent enough to invest eventually — and the journal analysis layer sells the hope of becoming the kind of person whose judgment improves over time. If simulation doesn't reflect real market mechanics, it feels like a toy and loses credibility. Slippage, transaction costs, and realistic price impact must be simulated.

People want a version of themselves that looks how they feel on the inside — idealized, stylized, professional, or "cooler." Profile pictures are identity signals on every platform they use. Paying for a better signal is rational.

Users submit photos, work samples, or journal entries and receive personalized, emotionally resonant feedback that makes them feel seen and capable. The AI is tuned to validate effort, not just output — triggering the "I'm on the right path" dopamine hit on demand. Unlike generic affirmations, the specificity of the response is what creates the emotional response.

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This prompt guides a senior software engineer in implementing a new feature or project in a specified programming language, ensuring consistent styling, best practices, proper error handling, test coverage, and documentation updates. It also includes generating a recommended commit message summarizing the changes. Would really appreciate help making it better 😁

Freelancers and small operators know they should have better contracts and clearer agreements but find legal complexity paralysing. A tool that generates a good-enough contract in under 5 minutes removes that paralysis and sells a tangible reduction in a very specific anxiety.

Use this prompt when the codebase has changed since the last FORME.md was written. It performs a diff between the documentation and current code, then produces only the sections that need updating not the entire document from scratch.

The gap between "idea" and "first paying customer" is where most solo founders fail — not from lack of effort but from lack of a structured, day-by-day system. A tool that compresses that gap from months to 14 days with templates already customized to their specific idea removes the activation barrier that kills most ventures before they start. The market evolves faster than any fixed playbook. The prompts and templates that worked in 2024 may not work in 2026.

Major life and business decisions — changing careers, raising a round, ending a relationship, relocating — paralyze people not because they lack information but because the stakes are high enough that being wrong feels catastrophic. Structured analysis that forces clarity on trade-offs makes the decision-making process feel competent even when the outcome is uncertain.

Expert-level Python code review prompt with 450+ checklist items covering type hints & runtime validation, None/mutable default traps, exception handling patterns, asyncio/threading/multiprocessing concurrency, GIL-aware performance, memory management, security vulnerabilities (eval/pickle/yaml injection, SQL injection via f-strings), dependency auditing, framework-specific issues (Django/Flask/FastAPI), Python version compatibility (3.9→3.12+ migration), and testing gaps.

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