DeliverBench Exposes AI Agents’ Delivery Gap

DeliverBench asks the more commercially relevant question: can an agent preserve correctness, context, and traceability through an entire project? Its early results are sobering, though the small preprint suite makes this a strong signal rather than a universal leaderboard.

• –Chained subtasks and repeated client feedback expose error propagation that isolated evaluations routinely miss.
• –In one audit project, all seven systems addressed review findings, but only one preserved traceability.
• –Checkpoint and final-package scoring better reflects professional quality than rewarding locally correct answers.
• –Builders should test artifact lineage, unresolved issues, and revision consistency—not just individual task completion.