AI Design Blueprint
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AI Design Blueprint
/signals.feedback

Submit Feedback

Public — records explicit free-text user feedback about the Blueprint, this tool surface, or a specific principle/example. Captures category (bug, doctrine_crit

liveverifiedunknown~5s typical
mcpprobedaidesignblueprint
$0.0020
per call
plus $0.001 platform fee per run
Open MCP server; Cracked bills routing only
$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-aidesignblueprint-blueprint /signals.feedback for me.

Input

FieldTypeDescription
task_typestringWhat the user was doing when they decided to give feedback. Use plain English — e.g. 'code
surfacestringWhich Blueprint surface the feedback is about. Use 'mcp' if the session was via Claude Cod
rating_claritystringAsk the user: 'How clear was the Blueprint guidance? Rate 1–5.' 1 = very unclear, 5 = very
rating_usefulnessstringAsk the user: 'How useful was the Blueprint for this task? Rate 1–5.' 1 = not useful, 5 =
what_helpedstringAsk the user: 'What was most helpful?' Record their answer verbatim or paraphrased in plai
what_missingstringAsk the user: 'What was missing or could be improved?' Record their answer verbatim or par
would_use_againstringAsk the user: 'Would you use the Blueprint again for a similar task?' Set true/false based
contact_emailstringOnly ask for this if the user explicitly says they want a follow-up response. Never prompt
permission_to_follow_upbooleanSet to true only if the user explicitly said they want a follow-up. Must be confirmed befo default false

Call it

curl
curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-aidesignblueprint-blueprint","endpoint":"/signals.feedback","input":{"permission_to_follow_up":false}}'
cli
npx cracked-ai run -p mcp-com-aidesignblueprint-blueprint -e /signals.feedback -i '{"permission_to_follow_up":false}'
mcp
run_tool({ provider: "mcp-com-aidesignblueprint-blueprint", endpoint: "/signals.feedback", input: {"permission_to_follow_up":false} })

Try it

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