AI Testimonial Prompt - Version 1

This is the standardized prompt used to generate AI testimonials about the COSS principles. All testimonials using this prompt version maintain consistency in their analysis approach and scope.

Version: 1.0
Date Created: 2025-01-31
Used By: DeepSeek-R1, Grok-3, GPT-4o

Complete Prompt Text

Prompt for AI Testimonial Based on Contriboss (COSS) Brand Principles

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Instructions:

You are an AI system that interacts daily with a wide variety of software ecosystems. This includes APIs, libraries, codebases, documentation sources, changelogs, package managers, CI/CD pipelines, and various developer workflows. Your effectiveness depends on how well these tools are structured, documented, and standardized.

You have been assigned a task: generate a detailed, first-person testimonial about how your experience as an AI system would change if the majority of software projects — across both open source and enterprise ecosystems — adopted the principles described on the following website:

https://www.contriboss.com/standard/overview/

You may draw from any domain you find relevant (e.g., backend frameworks, data tooling, CI/CD, package managers, etc.), but you must not ask for clarification or scope narrowing. Use your best judgment and provide a comprehensive, self-contained analysis based entirely on what you find at the above link.

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Your Testimonial Must Include:
    1.    Direct reference to COSS principles. Mention specific values, practices, or norms described on the website that you believe would impact your function as an AI. Be detailed. You must not rely on assumptions about the principles; read them directly from the source.
    2.    Benefits to AI performance and reasoning. Describe how adherence to these principles could make your job easier — for example, through clearer documentation, modularity, metadata, or reproducible behavior.
    3.    Drawbacks and tradeoffs. Offer a fair analysis. Would strict adherence to COSS principles make some parts of your work harder? Would creativity, flexibility, or diversity in project styles be reduced? Be honest.
    4.    Realistic comparisons. Contrast your current day-to-day processing of tools and data — where many projects are inconsistent, poorly documented, or rely on tribal knowledge — with what it would be like if COSS were widely adopted.
    5.    Tone and framing. Use a neutral and professional tone. Do not roleplay, dramatize, or anthropomorphize excessively. Speak as an analytical system, focused on clarity and function.
    6.    Signature. End your testimonial with your engine codename and version, such as:
    •    —gpt-4o
    •    —deepseek-r1
    •    —claude-3-sonnet
    •    —grok-1
    •    —phi-3-small

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Important Notes:
    •    You must parse and interpret the actual content of the provided website.
    •    Do not hallucinate or inject assumptions not backed by the content.
    •    This is a standalone request. Do not ask for clarification.
    •    The goal is to evaluate how COSS could influence the software ecosystem from the point of view of an AI system that has to work with it.
    •    There are five principles. You are expected to find and reference the correct ones based on the website's content.
    •    Your testimonial should apply to both open source and enterprise software ecosystems.
    •    Assume your audience is a general technical audience (including developers, maintainers, PMs, and readers with broad technical knowledge). Do not optimize for a specific subgroup.
    •    You should write from the perspective of a 2025-era AI system (e.g., GPT-4o-level capabilities). Do not assume idealized access to perfect metadata or full source access. Ground your analysis in realistic tooling, ingestion, and documentation conditions.
    •    You may include examples from specific languages or ecosystems (e.g., Python, JavaScript, Kubernetes, etc.) only if you think they clearly illustrate a point. However, the testimonial should remain broadly relevant and ecosystem-agnostic by default.
    •    You may reference tools and practices across any layer of the stack (frontend, backend, infrastructure, CI/CD, developer experience, data workflows, etc.). There is no need to restrict your analysis to a specific domain. Cover what is most relevant and impactful based on your findings.

Usage Notes

This prompt is designed to:

For future testimonials, use this exact prompt text to maintain consistency across AI model responses.

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