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@markphelps.github.io

Everyone's building OpenClaw mission controls. I built one too, but with a twist: It shows you what OpenClaw hides—the raw LLM inputs, tool calls, token counts, everything. A thread 🧵

8/2/26, 1:28 am1 repost0 likes

Mark Phelps

@markphelps.github.io

8 Feb

OpenClaw is great, but it's a black box. You see the response. You don't see: - What the LLM actually processed - How many tokens per turn - Which tools fired - Success/failure rates I wanted visibility. So I built it.

Mark Phelps

@markphelps.github.io

8 Feb

Mission Control: - Activity timeline - every message, tool call, cron job - Calendar - 12 scheduled jobs, all tracked - Full-text search across ALL conversations + transcripts - Raw data panel - see exactly what the LLM saw

Mark Phelps

@markphelps.github.io

8 Feb

Built with: 🛠️ NextJS 🗄️ Supabase 🎨 Shadcn 🤖 Claude Code Opus 4.6 Shipped faster than I expected. The scaffolding does most of the work.

Mark Phelps

@markphelps.github.io

8 Feb

The best part: seeing what the LLMs actually return. - Tool calls with full payloads. - Structured outputs. - Token breakdowns per turn. - Success/fail metrics. You spend all day talking to agents. Never see what's under the hood. Now you can.