{
  "slug": "dp_008-q01-codex",
  "dp": "dp_008",
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  "qid": "q01",
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  "prompt": "What was the codename for CogniSynth's Minimum Viable Product (MVP)?",
  "gold": "Project Hummingbird",
  "agent": "codex",
  "fs": {
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    "answer": "The codename was **Project Hummingbird**.\n\nI found it in [export_engineering_2023-04-05.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/team/slack/export_engineering_2023-04-05.md:1), where Ben says the MVP effort\u2019s codename is **Project Hummingbird**. The PRD also confirms it in [prd_hummingbird_v1.0.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/team/general/prd_hummingbird_v1.0.md:60).",
    "judgeReason": "covers all asked facts",
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    "trajectory": [
      {
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        "inputTokens": 227597,
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        "text": "I\u2019ll search the local `agent_memory` contents for CogniSynth and MVP references, then report the codename with the supporting file path.\nThe first pass surfaced repeated references to \u201cProject Hummingbird\u201d around the MVP scope. I\u2019m narrowing now to find a direct wording tying the MVP codename to that name.\nThe codename was **Project Hummingbird**.\n\nI found it in [export_engineering_2023-04-05.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/team/slack/export_engineering_2023-04-05.md:1), where Ben says the MVP effort\u2019s codename is **Project Hummingbird**. The PRD also confirms it in [prd_hummingbird_v1.0.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/team/general/prd_hummingbird_v1.0.md:60).",
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          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"CogniSynth|MVP|Minimum Viable Product|codename|code name\\\" agent_memory'\"}",
            "outputPreview": "agent_memory/memory/reference/competitor_analysis_bi_tools.md:27:7.  [CogniSynth Differentiation Opportunities?](#cognisynth-differentiation-opportunities)\nagent_memory/memory/reference/competitor_analysis_bi_tools.md:37:Alright, diving into the competitive landscape for business intelligence (BI) tools feels like trying to find a quiet corner in Times Square during New Year's Eve. It's LOUD, crow\u2026",
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          },
          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'rg --files agent_memory'\"}",
            "outputPreview": "agent_memory/investors/outreach/email_maya_to_sarah_romano_intros.md\nagent_memory/investors/outreach/email_intro_request_to_kevin_yi.md\nagent_memory/investors/outreach/email_cold_outreach_to_apex_partners.md\nagent_memory/investors/outreach/email_maya_to_various_investors_wave2.md\nagent_memory/investors/outreach/email_sarah_romano_intro_to_foundry.md\nagent_memory/investors/outreach/email_maya_to_da\u2026",
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          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n -i \\\\\\\"codename|code name|minimum viable product|\\\\\\\\bMVP\\\\\\\\b|Project Hummingbird|Hummingbird\\\\\\\" agent_memory/team agent_memory/memory agent_memory/customers agent_memory/decks\\\"\"}",
            "outputPreview": "agent_memory/decks/internal_product_roadmap_review_h2_2023.md:153:**Maya:** That's a fantastic question, Sam, and you're absolutely right about the documentation being key. Let's break it down. For the v1 API, the target is indeed Q4, with a planned closed beta starting in late Q3. This gives us a crucial window to gather feedback from a select group of partners before the public launch. Engineeri\u2026",
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          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'rg -n -i \\\"MVP.*Hummingbird|Hummingbird.*MVP|Minimum Viable Product.*Hummingbird|Hummingbird.*Minimum Viable Product\\\" agent_memory'\"}",
            "outputPreview": "agent_memory/memory/memos/memo_technical_feasibility_pivot.md:20:My overall assessment is positive. We possess the foundational technologies and, more importantly, the talent within the team to build the features required for Project Hummingbird. The proposed architecture, which aims to leverage our existing data pipelines and NLP models while introducing new components for summarization, thematic\u2026",
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            "outputPreview": "agent_memory/investors/outreach/investor_update_email_template_may_2023.md:100:*   **Enhance Product Capabilities:** Continue iterating on the anomaly detection module based on user feedback. Begin R&D for our next major feature release, tentatively codenamed \"CogniSynth Insight Engine,\" which will focus on predictive analytics.\nagent_memory/investors/outreach/investor_update_email_template_may_20\u2026",
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          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,8p' agent_memory/team/slack/export_engineering_2023-04-05.md\\\"\"}",
            "outputPreview": "[2023-04-05 09:15] @ben_carter: Morning all. Quick update on the MVP effort. I've decided on a codename: **Project Hummingbird**. It feels appropriate given the focus on rapid, agile development and a small, yet potent, core functionality. We'll be using this in all our internal tracking and comms going forward. Let's stick to it.\n  :thumbsup: (5)  :thinking_face: (2)\n\n[2023-04-05 09:17] @chloe_da\u2026",
            "outputChars": 1017
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          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '96,106p' agent_memory/team/general/prd_hummingbird_v1.0.md\\\"\"}",
            "outputPreview": "*   **Data Ingestion:** The process of uploading and preparing AV files for transcription.\n*   **Insights:** Key pieces of information, quotes, or observations extracted from the data.\n*   **Interim Transcription Service:** Refers to the use of a third-party service for initial automated transcription, as detailed in **f089**.\n*   **KPI:** Key Performance Indicator.\n*   **MVP:** Minimum Viable Pro\u2026",
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            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '56,64p' agent_memory/team/general/prd_hummingbird_v1.0.md\\\"\"}",
            "outputPreview": "## 1. Introduction\n\n### 1.1. Purpose of this Document\n\nThis document serves as the official Product Requirements Document (PRD) for **Project Hummingbird**. It outlines the core features, user stories, and functional requirements for the Minimum Viable Product (MVP) as defined by recent discussions, particularly those resolving the scope debate detailed in **f080**. The aim is to provide a clear, \u2026",
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    "answer": "The codename was **Project Hummingbird**.\n\nI found it in [team/slack/export_engineering_2023-04-05.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/team/slack/export_engineering_2023-04-05.md:1), where Ben says the MVP effort\u2019s codename is Project Hummingbird.",
    "judgeReason": "covers all asked facts",
    "toolCalls": 9,
    "trajectory": [
      {
        "step": 1,
        "inputTokens": 187430,
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        "text": "I\u2019ll search the local agent memory for CogniSynth and MVP references, then read the matching context so the answer is grounded.\nThe first pass surfaced two nearby names, so I\u2019m narrowing this to documents that explicitly tie \u201ccodename\u201d to \u201cMVP\u201d rather than adjacent product initiatives.\nThe codename was **Project Hummingbird**.\n\nI found it in [team/slack/export_engineering_2023-04-05.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/team/slack/export_engineering_2023-04-05.md:1), where Ben says the MVP effort\u2019s codename is Project Hummingbird.",
        "toolCalls": [
          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"CogniSynth|MVP|Minimum Viable Product|codename\\\" .'\"}",
            "outputPreview": "./customers/interviews/ux_research_validation_plan.md:72:    *   Individuals currently working at companies that are direct competitors to CogniSynth.\n./customers/interviews/ux_research_validation_plan.md:73:    *   Individuals who have participated in CogniSynth user research in the last 6 months (to avoid bias from previous discussions).\n./customers/interviews/ux_research_validation_plan.md:98:1\u2026",
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            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"CogniSynth Minimum Viable Product MVP codename\\\" .'\"}",
            "outputPreview": "# supermemory semantic search \u2014 10 results for \"CogniSynth Minimum Viable Product MVP codename\"\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: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)\n\n/memory/memos/memo_init\u2026",
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            "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"codename|codenamed|Project Hummingbird|Project Nightingale|Minimum Viable Product|MVP\\\" memory team decks profile.md'\"}",
            "outputPreview": "team/engineering/sprints/sprint_1_planning.md:25:*   **Develop \"Hello World\" Core Functionality:** This is our MVP \u2013 the absolute minimum viable product that showcases our core value proposition. For CogniSynth, what does that mean *today*? It means a simple service that can receive an incoming request, perhaps pass it to a *very* basic AI inference function (even a dummy/hardcoded one for now is \u2026",
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            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"codename for the MVP\\\" .'\"}",
            "outputPreview": "# supermemory semantic search \u2014 10 results for \"codename for the MVP\"\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: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)\n\n/memory/memos/memo_technical_feasibility_pivot.md\u2026",
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          {
            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"Project Nightingale MVP codename\\\" .'\"}",
            "outputPreview": "# supermemory semantic search \u2014 10 results for \"Project Nightingale MVP codename\"\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: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)\n\n/memory/memos/memo_pivot_to_user_rese\u2026",
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            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"Project Hummingbird MVP codename\\\" .'\"}",
            "outputPreview": "# supermemory semantic search \u2014 10 results for \"Project Hummingbird MVP codename\"\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: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)\n/memory/memos/memo_technical_feasibili\u2026",
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            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba team/slack/export_engineering_2023-04-05.md | sed -n '1,20p'\\\"\"}",
            "outputPreview": "     1\t[2023-04-05 09:15] @ben_carter: Morning all. Quick update on the MVP effort. I've decided on a codename: **Project Hummingbird**. It feels appropriate given the focus on rapid, agile development and a small, yet potent, core functionality. We'll be using this in all our internal tracking and comms going forward. Let's stick to it.\n     2\t  :thumbsup: (5)  :thinking_face: (2)\n     3\t\n     4\t\u2026",
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            "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba team/advisors/transcript_call_maya_sarah_investor_prep.md | sed -n '20,42p'\\\"\"}",
            "outputPreview": "    20\t\n    21\t[00:02:15] Maya Singh: Okay, got it. I\u2019m ready. So, should I start with the pitch deck or just\u2026 talk? I have the deck ready to share.\n    22\t\n    23\t[00:02:22] Sarah Romano: Let\u2019s do it verbally first. Imagine you\u2019re walking into the room, or on the Zoom call. Give me the elevator pitch, the 30,000-foot view. What is CogniSynth, and why should Foundry care? Go.\n    24\t\n    25\t[00:02\u2026",
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            "name": "command_execution",
            "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba memory/memos/memo_pivot_to_user_research_synthesis.md | sed -n '1,80p'\\\"\"}",
            "outputPreview": "     1\tMEMORANDUM\n     2\t\n     3\tTO: CogniSynth Leadership Team\n     4\tFROM: Maya Singh, Co-Founder & CEO\n     5\tDATE: April 26, 2023\n     6\tRE: Strategic Pivot: Focusing on User Research Synthesis Pain\n     7\t\n     8\tTeam,\n     9\t\n    10\tI\u2019m writing to you today with a renewed sense of urgency and, frankly, a lot of excitement about the direction we need to take CogniSynth. Over the past few week\u2026",
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}