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Terminal · Connect via MCP
claude mcp add-json dorsal '{"type":"http","url":"https://godorsal.com/api/truthapi","headers":{"Authorization":"Bearer tk_alpha_demo_001"}}' --scope userClaude Code · Run this
/mcp__dorsal__auditRead-only · Raw history stays local
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Explore the dataClaude Code CLI Example
~/acme/backend-review
acme/backend-review main $ claude
Claude Code
cwd: /Users/maya/acme/backend-review
mcp: truthapi connected
>
We need a multi-agent code review workflow for backend PRs. I was going to build a reviewer from scratch with 5 subagents. Before we commit, check the field: what has already worked, what broke, and what should we copy?
Claude I will check current tools, user reports, and failure modes before designing the workflow.
2 parallel tool calls
mcp__truthapi__getSummaries × 2
[
{
"query": "multi-agent code review workflows demonstrated results",
"total": 120
},
{
"query": "multi-agent code review failures token burn limitations",
"total": 120
}
]240 records surfaced · 5 source types · counterevidence checked
- [repo] postmortemthis: multi-model PR review CLI using Claude Code, Codex, Gemini, Qwen, Vibe.
- [docs] Claude Code review plugin: 4 parallel reviewers, confidence threshold at 80, final synthesis.
- [problem] runaway subagents: user reports severe token burn and rate-limit exhaustion.
Claude I found a likely dead end: unbounded subagents. I need the source records before changing the plan.
tool use
mcp__truthapi__getSet
{
"ids": ["postmortemthis", "claude-code-review-plugin",
"ultracost", "runaway-subagents"]
}4 decisive records inspected in full
- postmortemthis already implements the same product shape: multi-model review, aggregate findings, final verdict.
- The strongest working pattern is bounded fan-out: 3-4 reviewers, not open-ended subagents.
- Cost controls are not optional: preflight estimate, per-stage routing, hard stop on budget.
Claude
plan changed
- Adapt the existing bounded consensus architecture instead of starting from scratch.
- Use 3 reviewers with confidence and budget gates.
- Return only source-backed findings with file, line, evidence, and fix.
outcome skipped the five-subagent dead end, copied the field-tested pattern, and avoided the token-burn failure before writing code.
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