Structured workflow beats plan mode and superpowers on AI DES benchmark
A Reddit post shares results from the new AI-assisted Discrete-Event Simulation (DES) benchmark. The submission using the Ouroboros workflow (ooo) inside Claude Code ranked #1, beating both Claude's built-in plan mode and the 'superpowers' fat-skill stacks.
Benchmark details
The benchmark tests full understanding of a real-world system — a mining haulage system with trucks, loading points, dumping points, routes, and queues. Submissions are judged on:
- Comprehension of system structure
- Abstracting into a discrete-event simulation model
- Designing events, state changes, and KPIs
- Producing executable simulation code
- Interpreting results (bottlenecks, throughput, waiting times)
- Generating human-readable artifacts (topology diagrams, animations)
Ouroboros performance
The Ouroboros submission included working DES code, a topology diagram of the mining system, and an animation of trucks hauling ore. Notably, when the MCP server failed mid-run, Ouroboros fell back to a skills-based path and finished the task — demonstrating recovery and rerouting in real deployments.
Comparison
- Plan mode (lightweight planning) — decent baseline
- Superpowers / fat-skill stacks — worse than plan mode on this task
- Ouroboros (structured: clarify → plan → execute → evaluate → recover → iterate) — best
The result suggests that structuring the workflow around problem definition, planning, execution, evaluation, and recovery is more effective than piling on more instructions and bigger skills.
Ouroboros: https://github.com/Q00/ouroboros
Benchmark: https://simulation-bench.fly.dev/
📖 Read the full source: r/ClaudeAI
👀 See Also
Stop Letting AI Agents Design Your Architecture
AI agents like Claude are pathologically agreeable, producing plausible but context-free architectures. They can't say no, don't know your team's constraints, and turn senior engineers into ticket implementers.
Claude AI Recovers 11-Year-Old Bitcoin Wallet Worth $400K by Finding Backup and Fixing Brute-Force Bug
A user recovered a 5 BTC wallet (worth ~$400K) after 11 years by feeding their entire college computer files into Claude. The AI found an older backup wallet and identified a bug in btcrecover's password combination logic, enabling successful decryption.
Six Research-Backed Parallels Between LLM Failure Modes and ADHD Cognition
A developer with ADHD identifies six parallels between LLM failure patterns and ADHD cognitive science, backed by independent research on associative processing, confabulation, working memory limitations, pattern completion, structure dependence, and thread continuity.
The Orchestrator: Why Intent Should Outlive the Process
Current agent stacks invert identity and surface — the orchestrated layer should sit between agents and runtimes, with identity, routing, handoff primitives, and cross-driver calls. Practical example: triaging a flaky test across Ollama, Gemini CLI, and Grok Build under one intent.