AI-Enabled Technical Assessments
🔥 Introducing Woven’s AI-Enabled Scenarios 🔥 to assess real-world AI skill (not just trivia), while staying aligned with your team’s current policies.
TL;DR: Woven now offers scenarios intentionally designed for AI use. You choose your AI-adoption posture (No-AI, Hybrid, or AI-First), and we evaluate what matters: judgment, code quality, and production-readiness, not just prompt parroting
Why this matters now
Great engineers aren’t just “using AI.” They’re shipping faster by combining strong fundamentals with smart AI orchestration. Our AI-Enabled Scenarios mirror that reality with tighter timeboxes, bigger scope, and more complex tasks, so you see who can deliver when AI is on the table.
Pick your AI-adoption posture
🌱 No AI Allowed
Why: You want an uncompromised read on independent problem-solving.
What it means: Candidates work without AI assistance.
Benefit: A level playing field; cheaters don’t get an edge.
How Woven helps: We actively enforce no-AI rules and back it with human-powered async proctoring, so honest candidates aren’t penalized. Learn more about our approach to detecting AI misuse.
⚖️ Hybrid (AI + Human)
Why: You value both fundamentals and responsible AI use.
What it means: A mix of AI-enabled and AI-free scenarios.
Benefit: See whether candidates balance speed, quality, and judgment—and when to put AI down to reason through a problem.
How Woven helps: Our AI-enabled tasks push for more in less time while emphasizing production-ready quality. We recommend pairing 1–2 AI-Enabled with 1–2 human-only scenarios for best signal.
🚀 AI-First
Why: You’re building an AI-native team.
What it means: Success in these scenarios requires expert AI usage (e.g., Copilot Agent Mode, Cursor, agentic IDEs).
Benefit: Identify who can ship at scale with AI, not just talk about it.
How Woven helps: We design scenarios where real proficiency with AI tools is the path to a high score, so you hire people who can hit the ground running.
What’s inside an AI-Enabled Scenario (today)
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Bring-Your-Own LLM: Candidates use the model they’re best with—mirrors the real world and surfaces practical prompting skill.
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Human judgment still matters: We baseline against one-shot output of a state-of-the-art model and score the value a human adds on top (design choices, correctness, resilience, clarity).
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More complexity, tighter timeboxes, larger scope: to reflect how AI changes throughput.
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Examples available now (beta): Real-World Programming (prorating subscriptions), Frontend UI Frameworks (Angular/Java/Vue), Web Architecture (Full-stack Debugging Social), and Code Review (Backend & Full-stack).
Beta note (September 2025): These are live with customers today; we’re iterating on scoring and calibration as the ecosystem evolves.
Scoring that reflects real AI work
Instead of asking “did they use AI,” we ask “did they improve it?” We compare against a strong model’s one-shot output and score the delta that only a capable engineer can create better architecture, fewer defects, safer edge cases, clearer comms, higher-quality tests.
Fair, flexible, and future-proof
Fair: Honest candidates aren’t punished. Our human-powered asynchronous proctoring reliably catches external-assistance abuse in no-AI contexts—without brittle algorithmic detectors.
Flexible: Your assessment aligns to your current policy (No-AI, Hybrid, or AI-First). As you shift posture, your Woven role can shift with you.
Future-proof: As new models land, we update both content and scoring to keep candidate signal strong.
