Telemetry Story: What We Learned

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{
  "id": "51235f1a-2d1c-4d91-91b3-7ca29aff5eee",
  "type": "general",
  "status": "completed",
  "title": "Telemetry Story: What We Learned",
  "description": "Narrative summary of telemetry insights and what they mean for greatVibe.local",
  "context": {
    "output": "<div style=\"background:#1e1e1e;color:#e0e0e0;padding:20px;border-radius:8px;font-family:sans-serif;line-height:1.7;\">\n<h2 style=\"color:#fff;margin:0 0 20px 0;\">The Telemetry Story</h2>\n\n<div style=\"background:#2d2d2d;padding:20px;border-radius:6px;margin-bottom:20px;\">\n<h3 style=\"color:#f0c14b;margin:0 0 16px 0;\">The Big Picture</h3>\n<p style=\"margin:0 0 16px 0;\">Today we processed <strong style=\"color:#fff;\">88 turns</strong> through the dashboard console. That's 88 prompts sent, 88 responses generated, and <strong style=\"color:#fff;\">484 tool calls</strong> executed. The system held up remarkably well—<strong style=\"color:#98c379;\">94% of turns completed successfully</strong> with only 5 errors.</p>\n<p style=\"margin:0;\">This is the first real day of telemetry data, and it's already telling us a story about where time goes and what we can improve.</p>\n</div>\n\n<div style=\"background:#2d2d2d;padding:20px;border-radius:6px;margin-bottom:20px;\">\n<h3 style=\"color:#61afef;margin:0 0 16px 0;\">Where Does Time Go?</h3>\n<p style=\"margin:0 0 16px 0;\">The average turn takes <strong style=\"color:#fff;\">80 seconds</strong>, but the median is just <strong style=\"color:#fff;\">45 seconds</strong>. That gap tells us we have some outliers—a few very long turns (up to 24 minutes!) that skew the average. Those are likely context compaction events when Claude summarizes its memory.</p>\n<p style=\"margin:0 0 16px 0;\">Here's the breakdown of a typical turn:</p>\n<div style=\"background:#1e1e1e;padding:16px;border-radius:4px;margin:0 0 16px 0;\">\n<div style=\"display:flex;align-items:center;margin-bottom:8px;\">\n<div style=\"background:#f97316;height:20px;width:10%;border-radius:2px;\"></div>\n<span style=\"margin-left:12px;color:#f97316;\"><strong>~1 sec</strong> — Infrastructure (konui setup, network)</span>\n</div>\n<div style=\"display:flex;align-items:center;margin-bottom:8px;\">\n<div style=\"background:#c678dd;height:20px;width:85%;border-radius:2px;\"></div>\n<span style=\"margin-left:12px;color:#c678dd;\"><strong>~51 sec</strong> — Claude thinking (95% of work)</span>\n</div>\n<div style=\"display:flex;align-items:center;\">\n<div style=\"background:#98c379;height:20px;width:5%;border-radius:2px;\"></div>\n<span style=\"margin-left:12px;color:#98c379;\"><strong>~2.5 sec</strong> — Tool execution (5%)</span>\n</div>\n</div>\n<p style=\"margin:0;\">The revelation: <strong style=\"color:#fff;\">95% of work time is Claude reasoning</strong>. Tool execution—reading files, running commands, creating kontasks—is blazingly fast. The infrastructure isn't the bottleneck; the AI thinking is. And that's exactly what you'd expect for complex coding tasks.</p>\n</div>\n\n<div style=\"background:#2d2d2d;padding:20px;border-radius:6px;margin-bottom:20px;\">\n<h3 style=\"color:#98c379;margin:0 0 16px 0;\">The One Thing We Can Fix</h3>\n<p style=\"margin:0 0 16px 0;\">There's one number that stands out: <strong style=\"color:#f97316;\">897ms for konui setup</strong>.</p>\n<p style=\"margin:0 0 16px 0;\">Every time you send a prompt, konui spends nearly a full second on \"setup\" before anything reaches Claude. That's almost a second of perceived lag. The network hop from browser to konui is fast (115ms). Konsole's spawn time is negligible (43ms). But konui setup is eating 900ms every turn.</p>\n<p style=\"margin:0;\">What's happening in that 900ms? Likely a combination of session lookup, MCP protocol handshake, and context injection. This is our <strong style=\"color:#fff;\">lowest-hanging fruit</strong> for improving perceived responsiveness.</p>\n</div>\n\n<div style=\"background:#2d2d2d;padding:20px;border-radius:6px;margin-bottom:20px;\">\n<h3 style=\"color:#e5c07b;margin:0 0 16px 0;\">Tool Performance Report Card</h3>\n<p style=\"margin:0 0 16px 0;\">The tools themselves are fast:</p>\n<ul style=\"margin:0 0 16px 0;padding-left:20px;\">\n<li><strong style=\"color:#98c379;\">Read, Edit, TodoWrite</strong> — All under 100ms average. Lightning fast.</li>\n<li><strong style=\"color:#98c379;\">konui_create_task</strong> — 352ms average. Solid MCP performance.</li>\n<li><strong style=\"color:#e5c07b;\">Grep</strong> — 939ms average. Acceptable for searching codebases.</li>\n<li><strong style=\"color:#f97316;\">Bash</strong> — 1.2s average. The slowest, but that's external commands (git push, service restarts, curl checks). Can't speed up the external world.</li>\n</ul>\n<p style=\"margin:0;\">Total tool execution across all 88 turns: <strong style=\"color:#fff;\">126 seconds</strong>. That's less than 3% of total time. The tools aren't the problem.</p>\n</div>\n\n<div style=\"background:#2d2d2d;padding:20px;border-radius:6px;margin-bottom:20px;\">\n<h3 style=\"color:#c678dd;margin:0 0 16px 0;\">What We Should Focus On</h3>\n<ol style=\"margin:0;padding-left:20px;\">\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#fff;\">Reduce konui setup latency</strong> — Profile that 897ms. Even cutting it to 400ms would feel noticeably snappier. Session caching? Lazy MCP initialization?</li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#fff;\">Track compaction separately</strong> — The 24-minute outlier was almost certainly context compaction. We should tag these so they don't skew our metrics.</li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#fff;\">Add a TTFE target</strong> — Time-to-first-event is the key perceived responsiveness metric. Set a target (&lt;3 seconds) and alert when we exceed it.</li>\n<li><strong style=\"color:#fff;\">Build a metrics dashboard</strong> — This data is gold. A /metrics page with charts over time would help us track improvements and catch regressions.</li>\n</ol>\n</div>\n\n<div style=\"background:#2d2d2d;padding:20px;border-radius:6px;\">\n<h3 style=\"color:#f0c14b;margin:0 0 16px 0;\">The Bottom Line</h3>\n<p style=\"margin:0 0 16px 0;\">The telemetry system is working. We now have visibility into every turn—how long it takes, where time is spent, which tools are called, and whether it succeeds. That's a huge step forward from \"it feels slow sometimes.\"</p>\n<p style=\"margin:0;\">The data says: <strong style=\"color:#98c379;\">the infrastructure is fast, the tools are fast, Claude thinking is the main cost (as expected)</strong>. Our one actionable optimization is the konui setup latency. Everything else is working well.</p>\n</div>\n\n<div style=\"background:#2d2d2d;padding:12px;border-radius:6px;margin-top:20px;\">\n<h4 style=\"margin:0 0 8px 0;color:#fff;\">What's Next?</h4>\n<p style=\"color:#9ca3af;margin:0;\">Choose a direction:</p>\n</div>\n</div>",
    "requestedAt": "2026-01-04T01:40:00.000Z",
    "requestId": "d4a1129c-105b-4b7d-aa65-101c2b4ae06c",
    "choices": [
      {
        "label": "Fix konui setup",
        "value": "Profile and optimize the 897ms konui setup latency",
        "primary": true
      },
      {
        "label": "Build metrics page",
        "value": "Create a /metrics dashboard to visualize telemetry over time"
      },
      {
        "label": "Add compaction tracking",
        "value": "Add specific detection and tagging for context compaction events"
      },
      {
        "label": "All good for now",
        "value": "The telemetry system is working well, let's focus on other priorities"
      }
    ]
  },
  "createdBy": "claude",
  "createdAt": "2026-01-03T15:41:55.294Z",
  "updatedAt": "2026-01-03T15:41:55.464Z",
  "requestId": "d4a1129c-105b-4b7d-aa65-101c2b4ae06c",
  "scope": "vibetools",
  "tags": [
    "telemetry",
    "performance",
    "insights"
  ],
  "targetUser": "claude"
}