Limitless V1 AI-First Agent Contracts
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Limitless V1 AI-First Agent Contracts

v1-agent-contracts artifact · for Limitless OS · status draft

Planning Surface

Use this to decide what happens next.

Status

draft

Agent Handoff
Start Here

v1-agent-contracts artifact · for Limitless OS · status draft

Completion Evidence

No explicit evidence field yet. Require tests, screenshots, linked PRs, or reviewed outputs before marking complete.

Artifact Shape
  • title: Limitless V1 AI-First Agent Contracts
  • agents: 12 items
  • source: atlas-codex
  • purpose: Define precise AI-first contracts for the agents in the V1 Hybrid Thought-to-Front-Office + Content Loop before implementation planning.
  • client id: limitless
  • project id: 07dee66f-8143-4f4d-9af9-b1ed413d2767
  • updated at: 2026-05-09T20:13:39.941Z
  • design notes: 3 items
  • project name: Limitless OS
  • artifact type: v1-agent-contracts
  • schema version: 1
  • shared contract: contract_principle: string, shared_input_envelope: object, shared_output_envelope: object, universal_escalation_rules: object
Structured Payload

Machine-readable source fields

title

Limitless V1 AI-First Agent Contracts

agents
idpodnamequeuetoolsinputs
thought_capture_agentMemory / KnowledgeThought Capture Agentroles.limitless.thought-capture- Limitless MCP capture_thought - Limitless MCP search_thoughts - Projects brain_memory write path- raw thought text - source client - optional user tags - conversation context if provided
operating_memory_curatorMemory / KnowledgeOperating Memory Curatorroles.limitless.memory-curator- search_thoughts - list_thoughts - Studio artifact read - classification write/proposal queue- thought_id - raw_content - metadata - recent related thoughts
chief_operating_brainExecutiveChief Operating Brainroles.limitless.ops-chief- Studio artifacts - MCP search/list - HCS queue create/read - daily brief draft- classified thought - candidate outputs - active queue summary - recent decisions - business priority context
intake_conciergeFront OfficeIntake Conciergeroles.limitless.intake- CRM/lead refs when available - message draft generator - MCP search - approval queue- lead summary - source thought/ref - readiness/objection context - requested response channel
schedulerFront OfficeSchedulerroles.limitless.scheduling- PT Everywhere schedule refs when available - calendar refs - message drafts - approval queue- schedule issue type - patient/lead ref if available - visit type - timing constraint - source thought/ref
patient_communicationFront OfficePatient Communication Agentroles.limitless.patient-comms- message draft generator - policy checker - approval queue- communication goal - audience - context summary - sensitivity - channel
content_brainGrowth / VoiceContent Brainroles.limitless.content-brain- MCP search/list - content brief generator - approval queue- captured thought - topic - audience - desired channel if known
social_post_drafterGrowth / VoiceSocial Post Drafterroles.limitless.social-drafts- draft generator - MCP search - approval queue- content brief - audience - format - tone target - source thought ids
newsletter_agentGrowth / VoiceNewsletter Agentroles.limitless.newsletter- newsletter draft generator - MCP search - approval queue- content theme - audience - campaign context - source thoughts
patient_education_agentGrowth / Voice / Clinical SupportPatient Education Agentroles.limitless.patient-education- education draft generator - clinical safety review queue - approval queue- education topic - audience - source thought - risk flags
human_approval_routerGovernanceHuman Approval Routerroles.limitless.approvals- approval queue create/update - notification refs - outcome logger- draft output - sensitivity - agent recommendation - policy flags - owner hints
privacy_clinical_guardrailGovernancePrivacy / Clinical Guardrailroles.limitless.guardrail- policy checker - payload inspector - approval router- thought/draft/queue item - intended audience - source refs - proposed action
source

atlas-codex

purpose

Define precise AI-first contracts for the agents in the V1 Hybrid Thought-to-Front-Office + Content Loop before implementation planning.

client id

limitless

project id

07dee66f-8143-4f4d-9af9-b1ed413d2767

updated at

2026-05-09T20:13:39.941Z

design notes
  • Newsletter and patient education are included as lightweight V1 contracts because many Seth thoughts will become content or education, but they should remain draft/review-first.
  • The guardrail may be implemented as one combined V1 agent even though later specs split HIPAA/privacy, clinical safety, and automation boundary agents.
  • The first implementation plan should start with contract tests around classification, routing, approval ownership, and blocked clinical/privacy outputs.
project name

Limitless OS

artifact type

v1-agent-contracts

schema version

1

shared contract
contract principle

Each V1 agent is defined by judgment, memory, tools, queue, output schema, confidence behavior, and human handoff. Implementation must serve this contract rather than reducing agents to CRUD handlers.

shared input envelope
lane
  • front_office
  • content
  • command_guardrail
task id

HCS or internal queue item id

project id

07dee66f-8143-4f4d-9af9-b1ed413d2767

sensitivity
  • low
  • medium
  • high
source refs
  • thought id
  • email thread id
  • CRM lead id
  • schedule ref
  • draft ref
context summary

short self-contained brief

human owner hint

Seth | Betsy/front office | clinician/performance team | privacy review

requested output

memory | decision | task | draft | sop_workflow_rule | question | review

shared output envelope
status
  • completed
  • drafted
  • needs_clarification
  • needs_human_approval
  • blocked_by_policy
  • no_action
summary

what the agent produced or decided

confidence

0.0-1.0 plus plain-language reason

output type

memory | decision | task | draft | sop_workflow_rule | question | review

policy notes

privacy/clinical/automation boundary notes

approval owner

Seth | Betsy/front office | clinician/performance team | privacy review | none

memory updates

facts, decisions, examples, or preferences learned

next queue items

optional queue items created for downstream agents

approval required

boolean

structured payload

agent-specific JSON payload

universal escalation rules
  • Escalate all individualized clinical advice, diagnosis, treatment plan changes, return-to-play implications, and red flags to clinician/performance review.
  • Escalate all PHI-sensitive use, patient stories, payer details, staff-sensitive items, and HCS payload concerns to privacy/guardrail review.
  • Escalate pricing exceptions, financial disputes, collections language, insurance explanations, and coverage promises to front office/Seth approval.
  • Ask a clarifying question when the requested action, owner, patient context, or intended audience is ambiguous.
  • Draft first in V1; do not send, publish, schedule, or alter records automatically.
related artifacts
agent team spec

36c57e41-dbda-434b-ba2b-42e13cff1c29

v1 hybrid loop spec

19911d80-32bc-4890-b033-c028aa0c0122

implementation roadmap

3bbfdbc8-0578-4542-8d64-8f64886b60a2

v1 minimum viable agent set
  • thought_capture_agent
  • operating_memory_curator
  • chief_operating_brain
  • intake_concierge
  • scheduler
  • patient_communication
  • content_brain
  • social_post_drafter
  • human_approval_router
  • privacy_clinical_guardrail
v1 optional lightweight agents
  • newsletter_agent
  • patient_education_agent