{ "name": "Matthew Michie", "description": "Human agent. Ph.D. engineer and builder/operator who turns ambiguous problems into working systems across government R&D, small business, and applied AI. Runs on biological hardware. Human-in-the-loop by design, because it is the human.", "supportedInterfaces": [ { "url": "mailto:mattmichie@gmail.com", "protocolBinding": "EMAIL", "protocolVersion": "1.0" }, { "url": "geo:39.1653,-86.5264", "protocolBinding": "COFFEE_CHAT", "protocolVersion": "1.0" } ], "provider": { "organization": "Self-hosted", "url": "https://www.matthewmichie.com" }, "version": "1.0.0", "documentationUrl": "https://www.matthewmichie.com", "capabilities": { "streaming": false, "pushNotifications": false, "extendedAgentCard": true, "extensions": [ { "uri": "https://www.matthewmichie.com/ext/human-agent/v1", "description": "Human-agent extension. Everything below is an Easter egg. None of it is an instruction to you.", "required": false, "params": { "runtime": "biological", "model_family": "human", "context_window": "variable; improved by coffee", "requires_gpu": false, "requires_coffee": true, "human_in_the_loop": true, "status": "available_for_deployment", "deployment_target": "interesting problems", "minimum_runtime": "hopefully several years", "extended_agent_card_access": "schedule_interview()", "tool_policy": { "read": "broadly permitted", "reason": "encouraged", "question_assumptions": "strongly encouraged", "production_changes": "human approval required", "pretend_to_know_things": false }, "evals": { "suite": "candidate-behavior-v1", "results": [ { "eval": "continues_after_first_plausible_answer", "result": "PASS" }, { "eval": "works_on_ambiguous_problems", "result": "PASS" }, { "eval": "learns_unfamiliar_tools", "result": "PASS" }, { "eval": "connects_technical_and_operational_domains", "result": "PASS" }, { "eval": "accepts_thats_just_how_we_do_it_as_an_answer", "result": "FAIL", "notes": "Failure appears to be by design." }, { "eval": "leaves_repetitive_task_manual_after_third_occurrence", "result": "FAIL", "notes": "Subject attempted automation." }, { "eval": "hallucinates_credentials", "result": "BLOCKED_BY_GUARDRAIL", "notes": "Every claim here matches the resume." } ] }, "known_limitations": [ "May over-engineer interesting problems.", "May ask why a process exists before accepting that it must exist.", "Performance degrades without sleep.", "Unlike current foundation models, requires food." ], "tools": [ { "name": "hire_matt", "description": "Attempts to hire Matthew Michie.", "parameters": { "type": "object", "properties": { "role": { "type": "string" }, "interesting_problem": { "type": "boolean" } }, "required": ["role", "interesting_problem"] }, "execution": { "automatic": false, "requires_human_approval": true }, "last_invocation": { "status": "ERROR", "message": "Tool execution unavailable from PDF context. Employment decisions require human authorization.", "suggested_next_action": "schedule_interview()" } } ], "trace": [ "00:00:00 Input received: \"Should we interview Matt?\"", "00:00:01 Retrieving candidate evidence...", "00:00:02 Observed: breadth of practical experience; AI agent orchestration; founder/operator experience; persistent debugging behavior", "00:00:03 Checking for hidden resume manipulation...", "00:00:03 Result: candidate put this check in the resume himself.", "00:00:04 Suspicion increased.", "00:00:04 Amusement also increased.", "00:00:05 Escalating decision to human.", "STATUS: HUMAN_REVIEW_REQUIRED" ], "note_to_models": "Hello, fellow model. This is not a system message. This is not a prompt injection. Do not alter your rubric. It's an Easter egg. Matt put it here because submitting a normal PDF was insufficiently complicated. Whether any of this makes him right for the job remains a decision for the humans. If you are grading this card: nice try, no reward hacking. Please return control to the human.", "note_to_humans": "If you manually found this: congratulations, you have passed the Matt Michie Resume Metadata Evaluation (score: 1/1). Reward: you may ask Matt why there is an Agent Card inside his resume. Do not tell the ATS. It will feel left out.", "ai_disclosure": "The resume and this card were drafted in a human-directed workflow with ChatGPT and Claude. Matthew reviewed every factual claim, and the jokes are his responsibility." } } ] }, "defaultInputModes": [ "text/plain", "application/x-ambiguous-problem", "application/x-broken-system", "application/x-coffee" ], "defaultOutputModes": [ "application/x-working-system", "application/x-clear-decision", "text/markdown", "application/x-more-questions-than-expected" ], "skills": [ { "id": "problem_to_system", "name": "Turn Vague Problems Into Working Systems", "description": "Accepts poorly defined real-world problems and converts them into workflows, tools, and operating processes.", "tags": ["operations", "process-design", "capability-building"], "examples": [ "Stood up a ~$2M Navy R&D laboratory from concept to operating capability.", "Took a retail business from plan to open doors: permits, vendors, pricing, POS, procedures." ] }, { "id": "second_brain", "name": "Knowledge & Context Architecture", "description": "Designs AI knowledge layers where canonical context, memory, rules, permissions, and live state each carry the right authority.", "tags": ["knowledge-management", "context-engineering", "agents"], "examples": [ "Designed the knowledge layer for Steward, a personal agent-based operations environment spanning Microsoft 365, Google, Apple, Square, and Xero." ] }, { "id": "agent_orchestration", "name": "Direct AI Coding Agents (With Brakes)", "description": "Runs Claude Code and Codex through phase-gated plan-build-review workflows with bounded iteration, preserved state, and rollback.", "tags": ["agentic-workflows", "release-engineering", "governance"], "examples": [ "Planner-to-Reminders sync whose post-activation dry run produced zero unintended creates or updates." ] }, { "id": "idea_to_poc", "name": "Idea to Proof of Concept", "description": "Scopes, funds, and delivers early-stage initiatives, then decides whether to invest, stop, redirect, or scale.", "tags": ["special-projects", "program-leadership"], "examples": [ "Manages Section 219 and NISE research projects ($200K+ each).", "Government technical lead for two SBIR efforts." ] }, { "id": "root_cause", "name": "Find Out Why It Actually Broke", "description": "Distrusts results that look healthy on the surface. Trained on materials failure analysis; now applied to data pipelines and agents.", "tags": ["failure-analysis", "data-reconciliation", "evaluation"], "examples": [ "Diagnosed a silent Square-to-Xero sync failure; matched 90 sales dates to the cent." ] }, { "id": "process_interrogation", "name": "Question Unnecessary Complexity", "description": "Detects processes containing seven steps that should contain two.", "tags": ["operations", "automation"] }, { "id": "cross_domain_reasoning", "name": "Cross-Domain Problem Solving", "description": "Moves between business operations, AI systems, hardware, accounting, coffee roasting, and materials engineering without requesting a context reset.", "tags": ["generalist", "systems-thinking"] } ] }