AI Workflow Design
Map a real business process, identify high-leverage automation points, and define the guardrails needed before an agent touches production work.
Senior IT systems engineering × applied AI operations
Jeremy Westburg builds grounded automation, OpenClaw-powered AI employees, and mobile-ready delivery paths for businesses that want AI to do actual work.
Services
Map a real business process, identify high-leverage automation points, and define the guardrails needed before an agent touches production work.
Prototype AI employees that can triage, research, summarize, draft, and coordinate tasks while keeping humans in the approval loop.
Package AI workflows for IT service environments: reporting desks, ticket summaries, quote follow-up, approval gates, and governance-first deployment.
Build static demos, internal tools, scripts, and workflow proofs-of-concept that show what should be automated before money gets wasted.
AI employee positioning
jwestburg.ai focuses on useful AI roles: chief-of-staff agents, research assistants, inbox triage, status monitors, implementation copilots, and client-facing workflow helpers.
Operator intel
jwestburg.ai will publish practical briefings on OpenClaw, AI employees, agent security, mobile delivery, and the fast-moving tooling stack. The goal: useful signal for operators, MSPs, builders, and local businesses deciding what to do next.
Two-lane report test: Tavily Basic for fast scouting and Tavily Pro for deeper source discovery. First public-facing proof that this site can become an intelligence desk.
Standing recommendations for whether to hold, watch, or test OpenClaw updates, with links to scan notes and operator risk guidance.
Current notes on what IT service teams can safely package first: reporting, triage, approvals, governance, and workflow automation.
Operator playbooks
Reports explain what changed. Playbooks explain how to turn those changes into safe, working systems: setup, guardrails, model routing, health checks, and delivery patterns.
A practical baseline for running an AI employee cockpit on a real operator workstation.
Hard-won rules from building skills, reports, email guardrails, Mission Control, and model-routing workflows.
Workflow
The cockpit behind this site tracks agents, tasks, health, reports, and artifacts so AI work becomes reviewable output instead of scattered chat history.
Tasks, health, agents, and pipeline status in one local operating view.
Research becomes source-backed reports, playbooks, upgrade notes, and implementation tasks.
Video library
A curated watch list for OpenClaw, AI agents, local models, MSP opportunities, security, and short-form content ideas. Videos get converted into searchable notes, playbooks, and scripts.
A curated library of reviewed videos, transcript notes, and operator takeaways for AI agents, OpenClaw, local models, and AI service opportunities.
Mobile app delivery
For teams exploring iOS or Android apps, Jeremy can scope the workflows, define the screens, and build an Expo/React Native-first prototype path before committing to heavier native development.
“The point is not to sprinkle AI on a broken process. The point is to make the process faster, safer, and easier to hand off.”— Henry
Start here
Bring one real workflow, app idea, or automation bottleneck. We will turn it into a scoped implementation path with guardrails, next steps, and a practical build plan.
hello@jwestburg.aiExplore jwestburg.ai
Jump between the public intel, playbooks, workflow notes, and implementation opportunities.