{ "slug": "dp_001-q03-claude", "dp": "dp_001", "files": 5, "qid": "q03", "family": "multi_hop", "prompt": "Priya's engagement plan notes that Coppertide's data engineer was hired via a referral from Aria's prior team. Which company was that prior team at, and what is the SOW-listed role title for that same data engineer?", "gold": "Aria's prior team was at Glossier; Quentin Reyes's SOW role title is Data Engineer.", "agent": "claude", "fs": { "agent": "claude", "success": true, "steps": 14, "inputTokens": 534634, "outputTokens": 627, "totalTokens": 535261, "cost": 8.0665, "durationMs": 40561, "answer": "Found both answers.\n\n**Aria's prior team was at Glossier**, and Quentin Reyes's SOW-listed role title is **\"Data Engineer\"**.\n\nSource: `agent_memory/memory/companies/coppertide-overview.md:60` notes Quentin \"came in via a referral from Aria's prior team at Glossier,\" and `agent_memory/client/coppertide/sow-signed-2026-04-15.md:45` lists him in the SOW personnel table as \"Data Engineer.\"", "judgeReason": "covers all asked facts", "toolCalls": 8, "trajectory": [ { "step": 1, "inputTokens": 28193, "outputTokens": 0, "text": "", "toolCalls": [] }, { "step": 2, "inputTokens": 28193, "outputTokens": 0, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"ls /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/\", \"description\": \"List agent_memory directory\"}", "outputPreview": "client\ninternal\nmemory", "outputChars": 22 } ] }, { "step": 3, "inputTokens": 28406, "outputTokens": 62, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"ls -la /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/client /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/internal /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/memory\", \"description\": \"List subdirectories\"}", "outputPreview": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/client:\ntotal 0\ndrwxr-xr-x@ 3 prasanna staff 96 May 13 03:29 .\ndrwxr-xr-x@ 5 prasanna staff 160 May 13 03:29 ..\ndrwxr-xr-x@ 4 prasanna staff 128 May 13 03:29 coppertide\n\n/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/internal:\nt\u2026", "outputChars": 902 } ] }, { "step": 4, "inputTokens": 29333, "outputTokens": 72, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"find /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/ -type f | head -50\", \"description\": \"Find all files in agent_memory\"}", "outputPreview": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/memory/profiles/priya-iyer.md\n/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/memory/companies/coppertide-overview.md\n/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/internal/orb\u2026", "outputChars": 748 } ] }, { "step": 5, "inputTokens": 29892, "outputTokens": 60, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"grep -l -i \\\"referral\\\\|prior team\\\\|aria\\\" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/internal/orbital/engagement-plan-coppertide-v1.md /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/client/coppertide/sow-signed-2026-04-15.md\", \"description\": \"Find referral mentions\"}", "outputPreview": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/internal/orbital/engagement-plan-coppertide-v1.md\n/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/client/coppertide/sow-signed-2026-04-15.md", "outputChars": 304 } ] }, { "step": 6, "inputTokens": 30329, "outputTokens": 51, "text": "", "toolCalls": [ { "name": "Read", "input": "{\"file_path\": \"/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/internal/orbital/engagement-plan-coppertide-v1.md\"}", "outputPreview": "1\t# Coppertide engagement plan \u2014 v1\n2\t\n3\t**Author:** Priya Iyer\n4\t**Written:** Wednesday 2026-04-22, evening (Bangalore \u2014 kickoff call ended at 11:15 PM my time, so apologies in advance for typos)\n5\t**Status:** v1 \u2014 internal, not shared with client. Marcus, please redline tomorrow during your morning before our Tuesday sync; I want this stable by EoW1.\n6\t**Audience:** Marcus and me. No one at Copp\u2026", "outputChars": 27890 } ] }, { "step": 7, "inputTokens": 41195, "outputTokens": 62, "text": "", "toolCalls": [] }, { "step": 8, "inputTokens": 41195, "outputTokens": 62, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"grep -n -i \\\"referral\\\\|referred\\\\|prior\\\\|aria.*team\\\\|hired\\\\|came from\\\" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/internal/orbital/engagement-plan-coppertide-v1.md\", \"description\": \"Search for referral context\"}", "outputPreview": "12:Coppertide is an ~80-person DTC cookware brand out of NYC (warehouse in Reno) doing $40M ARR with 35% YoY growth. Their CTO Devansh Mehta hired us for a 12-week, fixed-fee engagement at $120k to do four things, in this order: audit the current data stack, redesign the warehouse layer (dbt + Snowflake), evaluate Fivetran vs CDC ingestion (with the explicit constraint that Phase 3 excludes Airbyt\u2026", "outputChars": 2923 } ] }, { "step": 9, "inputTokens": 42527, "outputTokens": 65, "text": "", "toolCalls": [] }, { "step": 10, "inputTokens": 42527, "outputTokens": 65, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"grep -rn -i \\\"referral\\\\|referred\\\\|glossier\\\\|prior\\\" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/\", \"description\": \"Search all files for referral\"}", "outputPreview": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/memory/profiles/priya-iyer.md:52:- **Looker.** Preferred BI tool for clients with under ~50 employees. Her reasoning is that LookML's modeling layer is appropriate for small-but-growing teams that need a single source of truth.\n/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eva\u2026", "outputChars": 13711 } ] }, { "step": 11, "inputTokens": 48006, "outputTokens": 42, "text": "", "toolCalls": [] }, { "step": 12, "inputTokens": 48006, "outputTokens": 42, "text": "Found the referral context \u2014 Glossier. Now I need to find Quentin's SOW-listed role title.", "toolCalls": [] }, { "step": 13, "inputTokens": 48006, "outputTokens": 42, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"grep -n -i \\\"quentin\\\\|reyes\\\" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_001/agent_memory/client/coppertide/sow-signed-2026-04-15.md\", \"description\": \"Find Quentin in SOW\"}", "outputPreview": "45:| Quentin Reyes | Data Engineer | Embedded counterpart for Phases 2\u20134; recipient of training and runbooks |\n92:- D2.1 dbt Semantic Layer Pull Request, opened against `main` of Coppertide's `analytics-platform` repository, with reviewers Aria Tan and Quentin Reyes.\n121:(b) Training sessions. Orbital will deliver two (2) live training sessions, each of approximately ninety (90) minutes, recorded \u2026", "outputChars": 1438 } ] }, { "step": 14, "inputTokens": 48826, "outputTokens": 2, "text": "Found both answers.\n\n**Aria's prior team was at Glossier**, and Quentin Reyes's SOW-listed role title is **\"Data Engineer\"**.\n\nSource: `agent_memory/memory/companies/coppertide-overview.md:60` notes Quentin \"came in via a referral from Aria's prior team at Glossier,\" and `agent_memory/client/coppertide/sow-signed-2026-04-15.md:45` lists him in the SOW personnel table as \"Data Engineer.\"", "toolCalls": [] } ] }, "smfs": { "agent": "claude", "success": true, "steps": 6, "inputTokens": 194195, "outputTokens": 184, "totalTokens": 194379, "cost": 2.9267, "durationMs": 25980, "answer": "Aria's prior team was at **Glossier**, and the SOW lists Quentin Reyes' role as **Data Engineer**.", "judgeReason": "covers all asked facts", "toolCalls": 3, "trajectory": [ { "step": 1, "inputTokens": 30822, "outputTokens": 0, "text": "", "toolCalls": [] }, { "step": 2, "inputTokens": 30822, "outputTokens": 0, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"smfs grep \\\"Coppertide data engineer referral Aria prior team\\\" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_001/agent_memory/\", \"description\": \"Search for Coppertide data engineer referral info\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"Coppertide data engineer referral Aria prior team\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n# grep \"query\" path/to/dir/ search within directory\n# output: :-: (chunk text is verbatim from the file)\n\n/memory/companies/co\u2026", "outputChars": 1828 } ] }, { "step": 3, "inputTokens": 31833, "outputTokens": 63, "text": "", "toolCalls": [] }, { "step": 4, "inputTokens": 31833, "outputTokens": 63, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"smfs grep \\\"Quentin Reyes SOW role title\\\" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_001/agent_memory/\", \"description\": \"Search for Quentin Reyes SOW role title\"}", "outputPreview": "# supermemory semantic search \u2014 4 results for \"Quentin Reyes SOW role title\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n# grep \"query\" path/to/dir/ search within directory\n# output: :-: (chunk text is verbatim from the file)\n\n/memory/companies/coppertide-overview.md:Q\u2026", "outputChars": 2199 } ] }, { "step": 5, "inputTokens": 33053, "outputTokens": 53, "text": "", "toolCalls": [ { "name": "Bash", "input": "{\"command\": \"smfs grep \\\"Quentin Reyes job title role analytics engineer\\\" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_001/agent_memory/\", \"description\": \"Search for Quentin's SOW role title\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"Quentin Reyes job title role analytics engineer\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n# grep \"query\" path/to/dir/ search within directory\n# output: :-: (chunk text is verbatim from the file)\n\n/memory/companies/copp\u2026", "outputChars": 6670 } ] }, { "step": 6, "inputTokens": 35832, "outputTokens": 5, "text": "Aria's prior team was at **Glossier**, and the SOW lists Quentin Reyes' role as **Data Engineer**.", "toolCalls": [] } ] } }