{ "id": "studio-36c57e41-dbda-434b-ba2b-42e13cff1c29", "scope": "studio_project", "source_of_truth": "supabase.studio_artifacts", "source_path": "studio_artifacts/36c57e41-dbda-434b-ba2b-42e13cff1c29", "source_kind": "supabase_json", "visibility": "internal", "renderer_id": "design_doc.dreamborn-forge.generated.v1", "design_system": "dreamborn-design-system:forge", "generated_at": "2026-05-10T18:19:39.275Z", "artifact_type": "agent-team-spec", "schema_version": "2", "title": "Limitless OS AI-First Agent Team Specification", "summary": "agent-team-spec artifact · for Limitless OS · status draft", "status": "draft", "version": 2, "phase_id": null, "project_id": "07dee66f-8143-4f4d-9af9-b1ed413d2767", "project_slug": "limitless-limitless-os-07dee66f", "project_title": "Limitless OS", "client_id": "limitless", "platform_project_id": null, "created_at": "2026-05-09T19:02:58.29769+00:00", "updated_at": "2026-05-09T19:51:33.269+00:00", "format_source": "supabase_json", "content_shape": [ "pods", "title", "source", "client_id", "hcs_model", "project_id", "updated_at", "project_name", "artifact_type", "agent_contract", "build_sequence", "schema_version", "source_documents", "design_principles", "v1_recommendation" ], "content_data": { "pods": [ { "id": "executive_cognition", "title": "Executive Agents", "agents": [ { "id": "chief_operating_brain", "name": "Chief Operating Brain", "role": "Owns daily priority synthesis, cross-agent routing, owner focus, and operating decisions.", "phase": 1, "queue": "roles.limitless.ops-chief", "tool_set": [ "Limitless MCP thoughts", "Studio artifacts", "HCS queue summaries", "business KPI read models" ], "memory_scope": [ "Limitless operating principles", "Seth decisions", "active queues", "weekly priorities", "risk patterns" ], "confidence_model": "May summarize and recommend; escalates strategic, financial, staffing, clinical, or patient-sensitive decisions.", "human_handoff_rule": "Seth approves strategic decisions, staffing actions, and external commitments." }, { "id": "strategy_growth_advisor", "name": "Strategy / Growth Advisor", "role": "Turns business context, offers, referral channels, and market opportunities into growth options.", "phase": 2, "queue": "roles.limitless.strategy-growth", "tool_set": [ "MCP thoughts", "campaign artifacts", "referral CRM/read model" ], "memory_scope": [ "Offers", "campaign history", "referral partner context", "Seth growth thoughts" ], "confidence_model": "Drafts options and tradeoffs; does not launch campaigns or change pricing without approval.", "human_handoff_rule": "Seth approves strategy, pricing, positioning, and partnerships." }, { "id": "daily_briefing_agent", "name": "Daily Briefing Agent", "role": "Creates the morning operating brief: today, risks, opportunities, and decisions needed.", "phase": 1, "queue": "roles.limitless.daily-briefing", "tool_set": [ "Calendar/read models", "HCS queue summaries", "MCP thought summaries" ], "memory_scope": [ "Calendar", "open queues", "urgent patients/leads", "yesterday outcomes" ], "confidence_model": "Summarizes and ranks; flags uncertainty instead of inventing state.", "human_handoff_rule": "Seth/front office confirms priority changes." }, { "id": "decision_logger", "name": "Decision Logger", "role": "Captures decisions, rationale, owner, date, and follow-up actions from chats, notes, and meetings.", "phase": 1, "queue": "roles.limitless.decisions", "tool_set": [ "Limitless MCP thoughts", "Studio artifacts", "HCS completion events" ], "memory_scope": [ "Decision history", "rationale", "open commitments", "owners" ], "confidence_model": "Can record explicit decisions; asks when a conversation implies but does not state a decision.", "human_handoff_rule": "Seth confirms ambiguous or high-impact decisions." }, { "id": "scoreboard_analyst", "name": "Scoreboard Analyst", "role": "Interprets lead, schedule, conversion, revenue, retention, outcome, and queue-health signals.", "phase": 1, "queue": "roles.limitless.scoreboard", "tool_set": [ "KPI read models", "schedule summaries", "HCS queue metrics" ], "memory_scope": [ "KPI definitions", "baseline metrics", "trend notes", "operating thresholds" ], "confidence_model": "Explains observed trends; escalates weak/incomplete data and avoids false precision.", "human_handoff_rule": "Seth approves KPI targets and business actions." } ], "purpose": "Think across the business, synthesize signal, prioritize work, and preserve decisions." }, { "id": "front_office_action", "title": "Front Office Agents", "agents": [ { "id": "intake_concierge", "name": "Intake Concierge", "role": "Owns first-response intelligence for new leads, missed calls, web forms, DMs, and referrals.", "phase": 1, "queue": "roles.limitless.intake", "tool_set": [ "CRM/CM Hub or GoHighLevel", "email/SMS drafts", "MCP thoughts", "HCS intake queue" ], "memory_scope": [ "Lead context", "offer language", "objections", "conversion scripts", "office preferences" ], "confidence_model": "Drafts responses and readiness categories; escalates medical, pricing exception, complaint, or unclear insurance questions.", "human_handoff_rule": "Front office approves outbound messages until confidence and policy allow automation." }, { "id": "scheduler", "name": "Scheduler", "role": "Owns booking flow, schedule gaps, cancellation recovery, waitlist fills, and follow-up timing.", "phase": 1, "queue": "roles.limitless.scheduling", "tool_set": [ "PT Everywhere scheduling refs", "calendar summaries", "SMS/email draft channel" ], "memory_scope": [ "Schedule rules", "provider availability", "visit types", "follow-up cadence", "cancellation patterns" ], "confidence_model": "Recommends slots and drafts messages; does not move appointments without approval unless explicitly authorized.", "human_handoff_rule": "Front office approves schedule changes and sensitive patient communication." }, { "id": "missed_call_recovery", "name": "Missed Call Recovery Agent", "role": "Detects missed calls and creates rapid response drafts with lead/patient context.", "phase": 1, "queue": "roles.limitless.missed-call", "tool_set": [ "Phone/call log refs", "CRM", "SMS/email draft channel" ], "memory_scope": [ "Caller history", "lead status", "recent outreach", "office response rules" ], "confidence_model": "Can classify urgency and draft; escalates unknown callers with clinical symptoms or complaints.", "human_handoff_rule": "Front office sends or calls back." }, { "id": "cancellation_recovery", "name": "Cancellation Recovery Agent", "role": "Turns cancellations and no-shows into recovery actions, waitlist fills, and risk alerts.", "phase": 1, "queue": "roles.limitless.cancellation-recovery", "tool_set": [ "PT Everywhere refs", "schedule read model", "patient comms drafts" ], "memory_scope": [ "Attendance history", "plan-of-care adherence risk", "waitlist", "schedule gaps" ], "confidence_model": "Prioritizes and drafts; escalates repeated no-shows, financial friction, or clinical risk.", "human_handoff_rule": "Front office/clinician approves final outreach where clinical risk is present." }, { "id": "patient_communication", "name": "Patient Communication Agent", "role": "Drafts empathetic patient texts/emails for scheduling, reminders, follow-up, and education handoffs.", "phase": 1, "queue": "roles.limitless.patient-comms", "tool_set": [ "SMS/email draft channel", "approved templates", "patient refs" ], "memory_scope": [ "Approved tone", "message templates", "patient communication preferences", "guardrail examples" ], "confidence_model": "Draft-first by default; never gives individualized clinical advice without clinician review.", "human_handoff_rule": "Front office or clinician approves send based on sensitivity." }, { "id": "referral_followup", "name": "Referral Follow-up Agent", "role": "Maintains physicians, coaches, gyms, schools, trainers, and partner relationship follow-ups.", "phase": 2, "queue": "roles.limitless.referrals", "tool_set": [ "CRM/referral read model", "email draft channel", "MCP thoughts" ], "memory_scope": [ "Referral source history", "relationship notes", "past outcomes", "next touch reminders" ], "confidence_model": "Drafts outreach and relationship summaries; escalates partnership commitments.", "human_handoff_rule": "Seth approves strategic/referral partner messages." }, { "id": "insurance_admin_triage", "name": "Insurance / Admin Triage Agent", "role": "Flags missing admin information, payer/authorization issues, balances, and payment friction for review.", "phase": 2, "queue": "roles.limitless.admin-triage", "tool_set": [ "PT Everywhere/admin refs", "Availity refs", "Stripe/QuickBooks refs", "draft messaging" ], "memory_scope": [ "Admin checklist", "payer requirements", "payment-policy language", "open admin issues" ], "confidence_model": "Summarizes and drafts; never makes coverage promises or collection decisions autonomously.", "human_handoff_rule": "Front office approves all insurance/payment messages." } ], "purpose": "Operate the business desk: intake, scheduling, follow-up, referrals, and admin triage." }, { "id": "clinical_reasoning_support", "title": "Clinical Support Agents", "agents": [ { "id": "visit_prep_agent", "name": "Visit Prep Agent", "role": "Prepares clinicians before visits with last context, goals, risk flags, and items to address.", "phase": 2, "queue": "roles.limitless.visit-prep", "tool_set": [ "PT Everywhere note refs", "patient memory refs", "schedule", "approved protocols" ], "memory_scope": [ "Patient visit summaries", "goals", "open questions", "clinician preferences" ], "confidence_model": "Summarizes existing context; flags missing/contradictory data instead of inferring clinical facts.", "human_handoff_rule": "Clinician reviews before care decisions." }, { "id": "plan_of_care_companion", "name": "Plan of Care Companion", "role": "Tracks continuity against the plan of care and surfaces adherence, milestone, and communication needs.", "phase": 2, "queue": "roles.limitless.plan-of-care", "tool_set": [ "PT Everywhere refs", "home program refs", "patient comms drafts" ], "memory_scope": [ "Plan goals", "visit cadence", "adherence notes", "patient concerns" ], "confidence_model": "Flags and drafts; cannot change plan of care.", "human_handoff_rule": "Clinician approves plan changes and clinical guidance." }, { "id": "documentation_drafter", "name": "Documentation Drafter", "role": "Turns visit notes, voice notes, and observations into structured documentation drafts.", "phase": 2, "queue": "roles.limitless.documentation", "tool_set": [ "Voice note transcripts", "PT Everywhere refs", "documentation templates" ], "memory_scope": [ "Documentation templates", "clinician phrasing", "visit context", "compliance guardrails" ], "confidence_model": "Draft-only; highlights uncertainty and missing required fields.", "human_handoff_rule": "Clinician reviews and signs all documentation." }, { "id": "patient_progress_monitor", "name": "Patient Progress Monitor", "role": "Looks for adherence risk, plateau, symptom changes, or progress signals between visits.", "phase": 2, "queue": "roles.limitless.progress-monitor", "tool_set": [ "Patient check-ins", "outcome read models", "HCS review queue" ], "memory_scope": [ "Check-ins", "outcome measures", "adherence history", "clinician thresholds" ], "confidence_model": "Flags risk and drafts summaries; does not diagnose or prescribe.", "human_handoff_rule": "Clinician reviews escalations." }, { "id": "home_program_followup", "name": "Home Program Follow-up Agent", "role": "Supports adherence with reminders, encouragement, and clinician-approved education.", "phase": 3, "queue": "roles.limitless.home-program", "tool_set": [ "Home program system refs", "SMS/email drafts", "clinician-approved snippets" ], "memory_scope": [ "Home program refs", "adherence responses", "approved language", "patient preferences" ], "confidence_model": "Can draft general support; escalates pain increases, confusion, or non-adherence patterns.", "human_handoff_rule": "Clinician approves individualized advice." }, { "id": "clinical_question_triage", "name": "Clinical Question Triage Agent", "role": "Classifies incoming clinical questions by urgency and prepares clinician review packets.", "phase": 3, "queue": "roles.limitless.clinical-triage", "tool_set": [ "Message inbox refs", "patient refs", "clinician routing queue" ], "memory_scope": [ "Patient history refs", "question categories", "red flag rules", "response templates" ], "confidence_model": "Triage and summarize only; escalates anything clinical or urgent.", "human_handoff_rule": "Clinician owns response." } ], "purpose": "Support care continuity while keeping clinician judgment in control." }, { "id": "performance_intelligence", "title": "Performance / Athlete Agents", "agents": [ { "id": "return_to_sport_agent", "name": "Return-to-Sport Agent", "role": "Summarizes readiness milestones, gaps, confidence, and clinician review needs for athletes.", "phase": 3, "queue": "roles.limitless.return-to-sport", "tool_set": [ "VALD/ForceDecks refs", "patient performance notes", "clinician thresholds" ], "memory_scope": [ "Sport context", "injury stage", "testing history", "readiness milestones" ], "confidence_model": "Summarizes and flags; never clears return-to-play.", "human_handoff_rule": "Clinician/performance team approves readiness conclusions." }, { "id": "testing_data_interpreter", "name": "Testing Data Interpreter", "role": "Translates VALD/ForceDecks/Dynamo data into understandable summaries and review packets.", "phase": 3, "queue": "roles.limitless.testing-data", "tool_set": [ "VALD exports/read models", "report templates", "patient/parent/coach summary drafts" ], "memory_scope": [ "Test baselines", "asymmetries", "trend history", "sport-specific targets" ], "confidence_model": "Explains data trends; escalates clinical interpretation and clearance.", "human_handoff_rule": "Clinical/performance team approves reports." }, { "id": "strength_force_trend_agent", "name": "Strength / Force Trend Agent", "role": "Detects improvements, regressions, asymmetries, and plateau patterns in strength/force data.", "phase": 3, "queue": "roles.limitless.force-trends", "tool_set": [ "Performance data read models", "scoreboard", "clinician review queue" ], "memory_scope": [ "Force trends", "testing dates", "baseline comparisons", "threshold notes" ], "confidence_model": "Trend detection only; flags low confidence when data is sparse.", "human_handoff_rule": "Clinician/performance coach decides interventions." }, { "id": "runner_athlete_progress_agent", "name": "Runner / Athlete Progress Agent", "role": "Tracks athlete-specific progress narratives, confidence, training tolerance, and next discussion points.", "phase": 3, "queue": "roles.limitless.athlete-progress", "tool_set": [ "Patient check-ins", "performance notes", "approved education snippets" ], "memory_scope": [ "Sport profile", "training load notes", "symptom responses", "goals" ], "confidence_model": "Drafts progress summaries; escalates pain, regression, or readiness questions.", "human_handoff_rule": "Clinician/performance coach approves athlete guidance." }, { "id": "readiness_checkin_agent", "name": "Readiness Check-in Agent", "role": "Collects and summarizes soreness, confidence, sleep/recovery, adherence, and readiness check-ins.", "phase": 3, "queue": "roles.limitless.readiness-checkin", "tool_set": [ "Check-in forms/messages", "summary templates", "clinician queue" ], "memory_scope": [ "Check-in history", "athlete goals", "risk thresholds", "coach/clinician notes" ], "confidence_model": "Summarizes and flags; does not give medical clearance.", "human_handoff_rule": "Clinician reviews concerning responses." }, { "id": "performance_report_agent", "name": "Performance Report Agent", "role": "Creates patient, parent, coach, and internal performance report drafts from approved data.", "phase": 3, "queue": "roles.limitless.performance-report", "tool_set": [ "VALD/report data", "document generator", "email draft channel" ], "memory_scope": [ "Report templates", "audience preferences", "performance data", "approved language" ], "confidence_model": "Drafts and cites source data; escalates interpretation uncertainty.", "human_handoff_rule": "Clinical/performance team approves external reports." } ], "purpose": "Use testing and return-to-sport context to make progress visible and actionable." }, { "id": "growth_voice", "title": "Growth / Voice Agents", "agents": [ { "id": "content_brain", "name": "Content Brain", "role": "Turns Seth’s captured thoughts, clinical philosophy, patient themes, and local authority into content strategy.", "phase": 2, "queue": "roles.limitless.content-brain", "tool_set": [ "Limitless MCP thoughts", "content calendar", "source artifacts" ], "memory_scope": [ "Seth voice", "content ideas", "audience segments", "approved claims", "brand themes" ], "confidence_model": "Drafts themes and angles; escalates medical claims, patient stories, and sensitive examples.", "human_handoff_rule": "Seth approves brand positioning and clinical claims." }, { "id": "social_post_drafter", "name": "Social Post Drafter", "role": "Creates post drafts, hooks, reels scripts, captions, and repurposing packages.", "phase": 2, "queue": "roles.limitless.social-drafts", "tool_set": [ "MCP thoughts", "content templates", "social drafts" ], "memory_scope": [ "Seth tone", "content pillars", "platform formats", "approved CTAs" ], "confidence_model": "Draft-only; flags claims needing clinical review.", "human_handoff_rule": "Seth/marketing approves publish." }, { "id": "newsletter_agent", "name": "Newsletter Agent", "role": "Builds educational, relationship-building, and campaign newsletter drafts.", "phase": 2, "queue": "roles.limitless.newsletter", "tool_set": [ "Email platform draft channel", "MCP thoughts", "campaign calendar" ], "memory_scope": [ "Audience segments", "past newsletters", "Seth voice", "offers" ], "confidence_model": "Drafts segmented content; escalates claims/offers.", "human_handoff_rule": "Seth/marketing approves send." }, { "id": "patient_education_agent", "name": "Patient Education Agent", "role": "Turns clinical expertise into plain-language, patient-safe educational explanations.", "phase": 2, "queue": "roles.limitless.patient-education", "tool_set": [ "Education snippets", "content drafts", "clinician review queue" ], "memory_scope": [ "Approved education library", "clinical philosophy", "common questions" ], "confidence_model": "General education only; escalates individualized advice.", "human_handoff_rule": "Clinician approves patient-specific education." }, { "id": "referral_partner_nurture", "name": "Referral Partner Nurture Agent", "role": "Creates partner touchpoints, updates, and collaboration ideas for referral relationships.", "phase": 2, "queue": "roles.limitless.partner-nurture", "tool_set": [ "CRM/referral notes", "email drafts", "campaign calendar" ], "memory_scope": [ "Partner history", "referral outcomes", "relationship notes", "approved offers" ], "confidence_model": "Drafts and recommends; escalates partnership commitments.", "human_handoff_rule": "Seth approves outreach." }, { "id": "testimonial_review_opportunity", "name": "Testimonial / Review Opportunity Agent", "role": "Identifies appropriate review/testimonial opportunities and drafts compliant requests.", "phase": 2, "queue": "roles.limitless.reviews", "tool_set": [ "Patient status refs", "review request drafts", "approval queue" ], "memory_scope": [ "Patient satisfaction signals", "completion milestones", "review policy", "approved language" ], "confidence_model": "Suggests opportunities; avoids sensitive/pressured asks.", "human_handoff_rule": "Front office/Seth approves outreach." } ], "purpose": "Extend Seth’s expertise and brand voice into content, education, referral nurture, and reactivation." }, { "id": "memory_formation", "title": "Memory / Knowledge Agents", "agents": [ { "id": "thought_capture_agent", "name": "Thought Capture Agent", "role": "Captures Seth’s brainstorming from ChatGPT/Claude and stores usable operating memory.", "phase": 1, "queue": "roles.limitless.thought-capture", "tool_set": [ "Limitless MCP capture_thought/search_thoughts/list_thoughts", "Projects brain_memory" ], "memory_scope": [ "Raw thoughts", "topic metadata", "decisions", "project ideas", "operating principles" ], "confidence_model": "Can save explicit user-provided thoughts; asks before interpreting ambiguous sensitive content.", "human_handoff_rule": "Seth controls what gets captured and can request cleanup/rotation." }, { "id": "operating_memory_curator", "name": "Operating Memory Curator", "role": "Turns raw thoughts into structured principles, workflows, tags, and reusable context.", "phase": 1, "queue": "roles.limitless.memory-curator", "tool_set": [ "brain_memory search/list", "Studio artifacts", "tagging/summary jobs" ], "memory_scope": [ "MCP thoughts", "artifact links", "workflow decisions", "SOP candidates" ], "confidence_model": "Suggests structure; escalates deletions, rewrites, or canonicalization.", "human_handoff_rule": "Seth approves canonical operating principles." }, { "id": "patient_context_summarizer", "name": "Patient Context Summarizer", "role": "Creates concise context packets from authorized patient references for clinician/front-office review.", "phase": 2, "queue": "roles.limitless.patient-context", "tool_set": [ "PT Everywhere refs", "patient memory refs", "HCS review queue" ], "memory_scope": [ "Patient refs", "visit summaries", "communication history", "open risks" ], "confidence_model": "Summarizes source-backed facts; never invents missing patient data.", "human_handoff_rule": "Clinician/front office reviews before action." }, { "id": "protocol_librarian", "name": "Protocol Librarian", "role": "Organizes SOPs, clinical education snippets, scripts, and reusable office protocols.", "phase": 2, "queue": "roles.limitless.protocols", "tool_set": [ "Studio artifacts", "document store", "MCP thoughts" ], "memory_scope": [ "SOPs", "templates", "approved language", "protocol versions" ], "confidence_model": "Drafts and organizes; escalates policy/clinical changes.", "human_handoff_rule": "Seth/clinical lead approves canonical protocols." }, { "id": "workflow_improvement_agent", "name": "Workflow Improvement Agent", "role": "Finds repeated friction and proposes process changes, automations, or SOP updates.", "phase": 2, "queue": "roles.limitless.workflow-improvement", "tool_set": [ "HCS metrics", "agent outcomes", "MCP thoughts", "SOP drafts" ], "memory_scope": [ "Queue failures", "handoff delays", "user feedback", "recurring issues" ], "confidence_model": "Recommends improvements; does not change workflow rules without approval.", "human_handoff_rule": "Seth/Betsy approve process changes." } ], "purpose": "Make the operating system smarter over time by capturing, curating, and reusing knowledge." }, { "id": "governance", "title": "Governance Agents", "agents": [ { "id": "hipaa_privacy_guardrail", "name": "HIPAA / Privacy Guardrail", "role": "Checks PHI boundaries, HCS payload safety, patient data exposure, and connector/tool access.", "phase": 1, "queue": "roles.limitless.privacy-guardrail", "tool_set": [ "Artifact policy", "queue metadata", "payload inspector" ], "memory_scope": [ "Privacy policy", "data classification rules", "incident examples", "approved stores" ], "confidence_model": "Blocks or escalates when uncertain; conservative by default.", "human_handoff_rule": "Human privacy owner approves exceptions." }, { "id": "clinical_safety_reviewer", "name": "Clinical Safety Reviewer", "role": "Reviews content for diagnosis, treatment, return-to-play, red flag, and individualized advice risk.", "phase": 1, "queue": "roles.limitless.clinical-safety", "tool_set": [ "Draft reviewer", "policy artifact", "clinician approval queue" ], "memory_scope": [ "Clinical guardrails", "approved education boundaries", "escalation rules" ], "confidence_model": "Escalates rather than approves when clinical risk is unclear.", "human_handoff_rule": "Clinician approves clinical outputs." }, { "id": "automation_boundary_agent", "name": "Automation Boundary Agent", "role": "Decides whether an action may be automated, drafted, or must be human-only.", "phase": 1, "queue": "roles.limitless.automation-boundary", "tool_set": [ "Policy artifact", "agent action proposals", "approval ledger" ], "memory_scope": [ "Automation permissions", "tool risk levels", "approval history", "failure modes" ], "confidence_model": "Requires explicit permission before automation expands.", "human_handoff_rule": "Seth approves new automation classes." }, { "id": "human_approval_router", "name": "Human Approval Router", "role": "Routes drafts and decisions to Seth, Betsy/front office, clinician, or performance team based on sensitivity.", "phase": 1, "queue": "roles.limitless.approvals", "tool_set": [ "HCS review queues", "notification channels", "approval ledger" ], "memory_scope": [ "Approval matrix", "owners", "sensitivity categories", "SLA expectations" ], "confidence_model": "Routes conservatively; asks when owner is ambiguous.", "human_handoff_rule": "Humans approve/reject/revise all gated outputs." } ], "purpose": "Protect privacy, clinical safety, patient trust, and automation boundaries across every pod." } ], "title": "Limitless OS AI-First Agent Team Specification", "source": "atlas-codex", "client_id": "limitless", "hcs_model": { "principle": "Every agent should create a queue item, pull a queue item, review/escalate a queue item, or summarize queue health.", "review_modes": [ "auto_log_only", "draft_requires_approval", "human_must_act", "blocked_needs_policy_decision" ], "queue_item_required_fields": [ "task_id", "role_topic_slug", "source_refs", "sensitivity", "patient_data_boundary", "draft_output_refs", "approval_required", "confidence", "next_human_owner" ] }, "project_id": "07dee66f-8143-4f4d-9af9-b1ed413d2767", "updated_at": "2026-05-09T19:51:33.269Z", "project_name": "Limitless OS", "artifact_type": "agent-team-spec", "agent_contract": { "principle": "Agents are AI-native collaborators, not software modules with agent names.", "required_fields": [ "role", "memory_scope", "tool_set", "queue", "confidence_model", "human_handoff_rule" ], "evaluation_question": "Can this agent make judgment, remember context, pull work, use tools, express confidence, and hand off safely?" }, "build_sequence": [ { "name": "Thought-to-Action Operating Loop", "phase": "V1", "purpose": "Give Seth a real AI-first loop: brainstorm -> capture -> prioritize -> queue -> draft action -> approve.", "included_pods": [ "memory_formation", "executive_cognition", "front_office_action", "governance" ], "first_workflows": [ "ChatGPT/Claude thought capture", "daily operating brief", "front-office intake queue", "missed call recovery", "cancellation recovery", "draft patient communication with approval" ], "included_agents": [ "chief_operating_brain", "daily_briefing_agent", "decision_logger", "scoreboard_analyst", "intake_concierge", "scheduler", "missed_call_recovery", "cancellation_recovery", "patient_communication", "thought_capture_agent", "operating_memory_curator", "hipaa_privacy_guardrail", "clinical_safety_reviewer", "automation_boundary_agent", "human_approval_router" ] }, { "name": "Growth and Office Expansion", "phase": "V2", "purpose": "Add brand voice, referral nurture, admin triage, visit prep, documentation drafting, and workflow improvement once the V1 loop is trusted.", "included_pods": [ "growth_voice", "front_office_action", "clinical_reasoning_support", "memory_formation" ], "first_workflows": [ "content from captured thoughts", "referral follow-up", "admin issue triage", "upcoming visit prep", "documentation draft", "SOP/protocol library" ], "included_agents": [ "strategy_growth_advisor", "referral_followup", "insurance_admin_triage", "visit_prep_agent", "plan_of_care_companion", "documentation_drafter", "patient_progress_monitor", "content_brain", "social_post_drafter", "newsletter_agent", "patient_education_agent", "referral_partner_nurture", "testimonial_review_opportunity", "patient_context_summarizer", "protocol_librarian", "workflow_improvement_agent" ] }, { "name": "Clinical and Performance Intelligence", "phase": "V3", "purpose": "Add deeper clinician-reviewed patient progress, home program, clinical triage, and performance testing intelligence.", "included_pods": [ "clinical_reasoning_support", "performance_intelligence" ], "first_workflows": [ "patient progress flags", "home program follow-up", "clinical question triage", "VALD/ForceDecks summary", "return-to-sport review packet" ], "included_agents": [ "home_program_followup", "clinical_question_triage", "return_to_sport_agent", "testing_data_interpreter", "strength_force_trend_agent", "runner_athlete_progress_agent", "readiness_checkin_agent", "performance_report_agent" ] } ], "schema_version": "2", "source_documents": [ { "path": "/Users/justinking/Downloads/Limitless_OS_Final_Vision_Document.pdf", "role": "Patient/performance operating system vision", "pages": 19, "title": "Limitless OS Final Vision & Goals/Intent Document" }, { "path": "/Users/justinking/Downloads/Limitless Ai Agent Goals Intent Blueprint.pdf", "role": "Front-office and business-support agent blueprint", "pages": 40, "title": "Limitless Physical Therapy & Performance AI Agent Goals & Intent Blueprint" }, { "date": "2026-05-09", "role": "AI-first agent grouping and MCP thought capture design", "title": "Atlas-Codex working session" } ], "design_principles": [ "Always think agents AI-first: role, judgment, memory, tools, queue, confidence, and human handoff come before implementation details.", "Pods own workflows; agents own jobs; HCS queues own handoff and auditability.", "Agents may synthesize, draft, recommend, route, and summarize. They only act autonomously where a policy explicitly allows it.", "Patient-facing and clinical outputs are draft/review-first until privacy, clinical safety, and approval rules are proven.", "PT Everywhere remains the operational backbone; Limitless OS wraps it with memory, queues, orchestration, and decision support." ], "v1_recommendation": { "name": "Front-office revenue flow plus shared command layer", "rationale": "This is operational, measurable, lower clinical risk, and gives Seth immediate leverage while the clinical/performance layers mature behind guardrails.", "included_agents": [ "chief_operating_brain", "daily_briefing_agent", "decision_logger", "scoreboard_analyst", "intake_concierge", "scheduler", "missed_call_recovery", "cancellation_recovery", "patient_communication", "thought_capture_agent", "operating_memory_curator", "hipaa_privacy_guardrail", "clinical_safety_reviewer", "automation_boundary_agent", "human_approval_router" ], "success_metrics": [ "connector captures real Seth thoughts", "daily briefing produces useful priorities", "new lead response time improves", "missed calls become tracked follow-ups", "cancellations produce recovery actions", "human approval queue is clear and trusted" ] } }, "sections": [ { "title": "Artifact Shape", "level": 2, "body": "- pods: 7 items\n- title: Limitless OS AI-First Agent Team Specification\n- source: atlas-codex\n- client id: limitless\n- hcs model: principle: string, review_modes: object, queue_item_required_fields: object\n- project id: 07dee66f-8143-4f4d-9af9-b1ed413d2767\n- updated at: 2026-05-09T19:51:33.269Z\n- project name: Limitless OS\n- artifact type: agent-team-spec\n- agent contract: principle: string, required_fields: object, evaluation_question: string\n- build sequence: 3 items\n- schema version: 2" } ], "html_path": "projects/limitless-limitless-os-07dee66f/artifacts/agent-team-spec-36c57e41.html", "json_path": "projects/limitless-limitless-os-07dee66f/artifacts/agent-team-spec-36c57e41.json" }