Challenge frontier model with your genuine expertise in a field.

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@shivansh121

Hi, I am interested to work on this project. Message me here. I am available here to discuss more. Looking forward to an early and positive response. Regards, Shalu

@shadabkhan92

As someone who lives at the intersection of AI and practical implementation, I can appreciate and deliver exactly what your project requires. Having built agentic AI systems for organizations, I'm intimately familiar with crafting tasks that pose unique challenges to AI agents while remaining firmly rooted in real-world applicability. This gives me a nuanced understanding of the task difficulty levers you seek - longer horizons and richer environments. In terms of tech-stack know-how, I’m well-versed in Python, have a strong grounding in Software Engineering, and can effectively navigate the Docker environment. Furthermore, my experience working with React, Flutter, Django and Node affords me a comprehensive approach to architecting solutions across multiple domains. This broad exposure has equipped me to approach tasks in diverse domains like software engineering, system administration, data science, machine learning etc. But perhaps most importantly, I believe that what distinguishes my team is our commitment to constructing not just good tasks but the best ones. We understand that a high-quality task not only demands clear instructions but a foolproof verifier and robustness over time and hardware. Moreover, our QA processes ensure that each task goes through rigorous iterations until it receives validation in all aspects. With this holistic skillset and meticulous attention to detail, we are primed to build you an unrivaled project.

@mayankinnovative

Having spent over 20 years in PHP-based development, I have cultivated a keen eye for robustness and a focus on clean, maintainable solutions - precisely what you need for this project's task verification process. Working with WooCommerce and payment gateways has honed my ability to create and test complex solutions, ensuring that every piece of code I write has an airtight impact. Excellent understanding of prompt requirements is my second nature, adding another string to my bow for your task generation process. Besides being technically qualified for this project, the other reason you should consider giving me the opportunity goes beyond software engineering alone. As a problem solver, I approach every issue with a strategic mindset to come up with the best possible solution that ensures system stability and scalability over time. In short, I'm not interested in quick fixes,but rather effective, long-term solutions. My focus on future-readiness aligns smoothly with your desire for tasks that withstand the test of time and hardware configurations. By engaging my services you're not only getting data science expertise but also infusing the project with extensive experience from different domains such as ecommerce and backend logic. Thus, adding diversity without sacrificing adherence to every step of your workflow process from inception to validation and quality assurance. Let's make those frontier AI agents break some sweat!

@stelianrosca618

I understand the goal of this project: creating difficult terminal-based coding tasks to evaluate AI agents. I will design a clear task prompt, build a deterministic Docker environment, provide a reference solution, and write pytest tests that verify the agent truly completed the work. I have experience with Python, backend development, Docker, testing frameworks, APIs, and software engineering workflows. I can create realistic engineering challenges that are difficult for AI agents while remaining objectively verifiable. A few questions: Are there preferred programming languages or technology stacks? Should tasks start from an existing codebase or a blank environment? Are external packages and network access allowed? Do you have examples of previously accepted tasks? I look forward to contributing high-quality benchmark tasks for AI coding agents. Thank you.

@codeandcommand

The evaluation piece is where this gets tricky. I would design a task that looks solvable on the surface but requires real domain reasoning, not just pattern matching, so the model actually gets pushed. Python for the terminal runner, clean scoring logic, and a rubric that captures whether the agent understood the problem or just got lucky. I can start today and have the full task with eval script ready in 48 hours. Bid reflects the post as written. Final scope depends on the domain you have in mind. Want to jump on a quick call?

@Abror86

I WOULD APPRECIATE A MOMENT OF YOUR TIEM. Hi — Abror-Yakubov here from Uzbekistan in Central Asia. A problem well understood is a problem half solved. I have experience with Python, Software Engineering and Automation to design reliable coding tasks, build verifiable solutions, and create structured workflows with clear testing requirements. There are three key steps to solve a problem Aren't there? solution1 : Understand the expert domain and create a realistic terminal-based task with clear requirements. solution2 : Develop deterministic verification logic and ensure the solution is tested against expected behavior. solution3 : Review task quality, improve robustness, and prepare reproducible files for evaluation. Would that be ok with you? And of course don't like your thought. I think that you want clear solution, Quality results for this project and so I will work on these rule for your project, this issue will be successful. May I ask you a question that will help you with your plan? Which task category is your highest priority for new benchmark challenges? What difficulty level and failure patterns are you targeting from frontier AI agents? Let's discuss in more detail now. I suggest Chat for you

@Lazarone1

hello, your project requires creating a genuinely difficult and rigorously verifiable terminal task with precise instructions deterministic testing and strong resistance to shortcuts rather than simply writing code. i can design a realistic expert level challenge with aligned validation reference implementation and robust test coverage that satisfies your review workflow. which technical domain would you like the challenge to target such as software engineering security system administration or scientific computing

@Cruz1217

The hardest part is making the verifier impossible to cheat without the agent actually performing the work. I’ll write a short instruction that forces a multi-step shell flow, then add pytest checks for each intermediate file and exit code so shortcuts fail. A common mistake is to let the test only look for a final file, which lets the agent skip the real work by using touch. You can expect a task that passes only when the agent writes the correct script, runs commands in order, and produces output the verifier checks.

@jagratip3

Hello, I’m interested in contributing to this project. I have strong experience in Python, Linux, Docker, software engineering, automation, testing, and AI evaluation workflows. I understand that the objective is not simply to write code, but to design realistic, difficult, and fully verifiable benchmark tasks that accurately measure the capabilities of coding agents. My experience includes building complex CLI applications, designing deterministic test suites with Pytest, creating Docker-based development environments, writing robust automation scripts, and developing evaluation pipelines for production software. I am comfortable producing tasks across software engineering, system administration, security, and data processing domains. I understand the importance of instruction–test alignment, deterministic verification, cheat resistance, reproducibility, and realistic engineering scenarios. I can create high-quality benchmark tasks that require genuine reasoning and cannot be solved through shortcuts. I write clean, maintainable code, document my work thoroughly, and follow structured development workflows. I am available to begin immediately and can work through the proposal, implementation, validation, and refinement phases until the task meets all quality requirements. I look forward to contributing to the project.

@TechizeBuilder

Dear Client, I read "Challenge frontier model with your genuine expertise in a field." carefully and understand you need hands-on Claude/Anthropic expertise to build or integrate an AI assistant that actually works reliably. My hands-on experience with Python, AI (Artificial Intelligence) HW/SW, System Administration aligns directly with what you need. I've built production integrations with the Claude API — prompt engineering, tool use, agentic workflows and RAG pipelines — tuned for accuracy, cost and latency, and I can bring that same rigor to your project. A few quick questions to get us started: 1. Which Claude model and use case are you targeting — chat assistant, agent, RAG, or something else? 2. Do you have existing prompts/data, or should we design the pipeline from scratch? 3. What's your expected usage volume, so we can plan for cost and rate limits? Thanks & Regards, Deepak

@heenafullstacken

Hello! Your AI project, Challenge frontier model with your genuine expertise in a field., is a strong match for my experience. I can develop the complete solution with OpenAI/LLM integration, RAG, secure APIs, automation workflows, database design, and a clear admin dashboard. The focus will be reliable results, clean architecture, and a system ready for real users. Please share your data sources, required integrations, and expected AI output so I can suggest the right implementation plan. Portfolio: https://www.freelancer.in/u/heenafullstacken Thank you, Heena | A Plus IT House

@DigitalNightOwl8

Hi , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Software Engineering, Automation, Cryptography, Scientific Computing, Data Science, AI (Artificial Intelligence) HW/SW, System Administration, Python and Forensic Consulting. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. "The CLI must validate every polygon and exit with a non-zero status if any has fewer than four coordinates or zero area." Looking forward to hearing you back and discussing all details.. For more details Chat with us

@irfanui

Hi, I reviewed your project: Challenge frontier model with your genuine expertise in a field.. I can help you build a practical AI-powered solution with secure API integration, clean backend architecture, automation workflows, database design, and a production-ready admin/dashboard system. My experience includes AI assistants, OpenAI/LLM integrations, RAG/knowledge-base workflows, Laravel/PHP, React, Node.js, APIs, databases, and deployment. Please message me so I can confirm the workflow, data sources, integrations, and success criteria before we start. Portfolio: https://www.freelancer.com/u/irfanui Regards, Mohammad 4th Dimension Partners

@CreatvieBB

Hello, With over 2 years of experience in Automation, I specialize in creating practical AI solutions to help businesses save time, enhance customer service, and reduce repetitive tasks. I have thoroughly reviewed your project requirements and understand the need to challenge frontier AI models with genuinely difficult tasks. I am well-equipped to design a terminal-based task that is resistant to shortcuts and verifiable through a deterministic `pytest` verifier. My expertise lies in creating AI solutions that are tailored to specific workflows and desired outcomes, ensuring operational advantages for your business. To discuss this project further, please feel free to start a chat. I look forward to collaborating with you on this exciting challenge. Best regards

@MthokoD

Hey there, looking forward to hearing from you. Designing a genuinely challenging task for AI coding agents is no small feat. The goal is clear: create a task that is rigorously evaluable and truly resists shortcuts. I have successfully authored complex tasks that required nuanced instructions and robust validation processes. In this case, I will produce precise, clear instructions that meet your specifications and ensure that the task stands up to scrutiny. Your project requires attention to detail, particularly in crafting instructions that eliminate ambiguity. A new profile here does not reflect a lack of expertise; my decade of experience guarantees consistency and quality in delivery. To get started, could you clarify any specific domain knowledge you’d like me to leverage? Chat Soon, Warm Regards Mthoko

@cliftonc20

Hello, this is essentially benchmark engineering for coding agents, and the hard part is not writing pytest or shell scaffolding but designing a task that is difficult for the right reason. The real engineering risk is verifier leakage: if the assertions can be satisfied without the agent actually doing the work, the task looks rigorous but fails as an evaluation artifact. I’ve built several production AI systems where instruction-output alignment and deterministic validation mattered more than model demos. The closest relevant work is DocIntel AI, where I separated ingestion, extraction, storage, and answer verification so each layer had measurable behavior. Enterprise ProxyTool is also relevant because the architecture depended on clean control-plane versus data-plane boundaries, which is the same discipline good benchmark tasks need. I usually structure this kind of system by locking down one unambiguous success condition, then designing the environment so the agent has to traverse real intermediate steps to reach it. For this JD, I’d be focused on instruction/verifier alignment, no-op failure checks, and shortcut resistance inside the Docker and pytest constraints. These are the kinds of systems I design for long-term production use, where repeatability matters more than cleverness. If useful, I can outline a task design that is hard, deterministic, and resistant to superficial passes before implementation starts. Clifton