Connected systems.

I help CTOs and engineering leaders orchestrate the tools their teams already rely on, add control layers around AI execution, and ship cross-system workflows that stay reliable in production.

Book Mapping Session

How it works →

How I Work

Three escalation lanes: Workflow Infrastructure, Reliability and Control Layer, and Enterprise Extension.

Lane 1

Workflow Infrastructure

I build the integration and workflow logic for the operations that matter most, with clear trust boundaries and production-ready behavior.

Lane 2

Reliability and Control Layer

I add evals, release gates, policy rules, and incident reviews so automation stays reliable as workflow scope expands.

Lane 3

Enterprise Extension

For high-stakes workflows, I build orchestration layers across systems, with governance and traceability that native automation cannot yet provide.

What's Included

Start with workflow infrastructure, add reliability controls as risk grows, and extend for enterprise constraints.

Workflow Infrastructure

Workflow infrastructure designed specifically for your business rules and trust boundaries.

Includes

Workflow endpoints
Business-rule mapping
Secure auth boundaries
Handoff artifacts

The real product

Reliability and Control Layer

The reliability layer for production automation. Evals, release checks, and policy controls.

Includes

Pre-release quality gates
Policy and approval boundaries
Postmortem loops
Monthly tuning

Enterprise Extension

Beyond native limits. Architecture and orchestration for strict governance constraints.

Includes

Cross-system orchestration
Auditability controls
Deterministic retries
Architecture support

The Model

Native agent features are getting easier to adopt. That is good for teams and good for velocity.

The hard gap remains workflow-specific logic, reliability controls, and cross-system orchestration. That is where .agency compounds value.

Client LLM

Slack Agent

Routes

Hub MCP Tenant, alias, proxy

Decides

Control Layer Trust boundary

AllowReviewBlock

Notion Sync

Cloudflare D1

Custom Workflow

Hub MCP routes execution. Reliability controls decide what can run safely.

When a client primarily needs full system development and team onboarding, I refer that engagement to Half Dozen directly.

Reliable workflows are the product. Operational leverage is the outcome.

Trust Artifacts

Contract Pack

Every engagement ships with mcp_contract.yaml, agent_contract.yaml, and outcome_contract.md so scope, behavior, and outcomes are explicit.

Release Evidence

Golden task definitions and pass/fail results are documented before release. Reliability is gated by evidence, not intuition.

Operations Runbook

Approval paths, escalation triggers, rollback steps, and ownership boundaries are delivered as operating artifacts your team can run.

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

outcome_contract.md

# Success Criteria
- 99.9% Deterministic retries
- Full state persistence
- Zero unauthorized writes

runbook.md

## Incident Response
1. Check core worker logs
2. Verify D1 state integrity
3. Roll back to last golden deploy

mcp_contract.yaml

name: "custom-workflow-mcp"
version: "1.0.0"
scopes: ["read", "write"]
trust_boundary: "strict"

agent_contract.yaml

boundary: "human-in-loop"
approvals_required: true
escalation:
  trigger: "confidence < 0.9"
  action: "notify"

policy.json

{
  "effect": "Deny",
  "action": "*",
  "resource": "production_db",
  "condition": "unverified"
}

golden_tasks.yaml

test_cases:
  - name: "handle_rate_limit"
    expected: "exponential_backoff"
  - name: "auth_failure"
    expected: "immediate_halt"

Need trust you can inspect?

Book a Policy Mapping Session and I will map your policy boundary and show what the artifact bundle looks like for your workflows.

Book Mapping Session

Review the approach →