--- title: AI Execution Cookoff โ€” Build Agents That Run Real Businesses emoji: ๐Ÿณ colorFrom: blue colorTo: purple sdk: gradio pinned: true --- # AI Execution Cookoff โ€” Participation Guide **Date & Time:** February 27, 2026 โ€“ March 20, 2026 **Location:** Virtual **Host:** The Chinese University of Hong Kong, Shenzhen --- ## Overview The AI Execution Cookoff is a hands-on systems challenge for builders who want to design and ship **AI agents that execute real business workflows**. Inspired by modern agent systems and real-world execution infrastructure, this cookoff celebrates builders who can turn AI into **reliable operational systems**. Participants will design and demonstrate AI agents that solve measurable execution problems such as sales follow-through, recruiting coordination, or other real workflows. There are no monetary prizes. **Outstanding participants may be invited to collaborate on real AI systems projects and join future execution-focused teams.** --- ## Competition Tracks Participants may choose one track: ### ๐Ÿฝ Track A โ€” Sales Execution Agent Design an agent that manages sales workflows: - lead follow-through - communication coordination - scheduling - pipeline tracking - escalation handling Goal: maximize execution reliability and workflow completion. --- ### ๐Ÿฝ Track B โ€” Recruiting Coordination Agent Design an agent that coordinates hiring workflows: - interview scheduling - candidate communication - reminders and follow-ups - status tracking - failure recovery Goal: reduce operational friction and improve execution efficiency. --- ### ๐Ÿฝ Track C โ€” Open Execution Agent Build an agent that solves any measurable execution workflow: - customer support coordination - onboarding automation - operations tracking - internal workflow management Participants must clearly define the problem and success metrics. --- ## Schedule ### Competition Timeline **February 27 โ€” Cookoff opens** **March 20 โ€” Submission deadline** ### Review Phase **March 21 โ€“ April 3 โ€” Review & evaluation** **Early April โ€” Winners announced** Exact updates will be posted in Discussions. --- ## Submission Requirements Each participant must submit: ### ๐Ÿณ System Report (Required) A concise report (1โ€“3 pages) describing: - problem definition - architecture design - execution workflow - reliability strategy - evaluation metrics --- ### ๐ŸŽฅ Demo Video (Required, 3โ€“5 minutes) The video must demonstrate: - a live agent run - system walkthrough - at least one failure case and recovery behavior --- ## Evaluation Criteria Submissions are evaluated on: - reliability and failure handling - execution logic and ownership modeling - real-world usability - outcome focus and measurable impact - clarity of system design This cookoff rewards systems that **operate reliably**, not just impressive demos. --- ## Participation Rules - Individual participation only - Participants may use AI tools during development - Submissions must be original work - External libraries and frameworks are allowed - GPU resources are optional and not required Joining this Hugging Face organization constitutes participation. --- ## How to Submit Create a Discussion post titled: **โ€œCookoff Submission โ€” [Your Name]โ€** Include: - demo video link - PDF report link - short summary of your system Submissions are reviewed manually by the evaluation team. --- ## Community & Support Use the Discussions tab for announcements, questions, and technical discussion. --- ## Final Note The AI Execution Cookoff is not a showcase for flashy prototypes. It is a search for builders who can design AI systems that execute real workflows. We are excited to see what you cook.