Proof
The point is not that tools exist. The point is that risky handoffs, approvals, and cross-system workflows were turned into something a team can inspect and operate.
Buyer-readable proof showing the workflow, the control boundary, and what the team could operate afterward.
Workflow: Email, video transcripts, and meeting clips were pulled into one Notion operating surface so the team no longer had to rebuild context across inboxes and recordings.
Control boundary: Gmail, YouTube, Zoom Clips, contact matching, notifications, runbook, and Codex setup.
Result: The workflow shipped with explicit artifacts and repeatable operating context instead of living in scattered tools and memory.
Workflow: Platform documentation, deployment guidance, and architecture patterns were exposed through an AI-guided surface instead of staying trapped in ad hoc internal context.
Control boundary: Component exploration, pattern guidance, deployment support, and architecture documentation.
Result: Teams received an inspectable MCP surface for platform knowledge and deployment decisions.
Workflow: Scheduling, finance, and knowledge systems were exposed as constrained MCP surfaces first so workflow design could be validated before broader automation authority was granted.
Control boundary: Backfill and forecast, read-only finance access, sync boundaries, and conflict handling.
Result: Operators could review the data surface and the workflow shape before promoting riskier actions.
Reusable patterns from real client work. This is the supporting evidence behind the workflow examples above.
MCP surfaces for connecting live systems without asking the team to keep rebuilding context by hand.
Selected builds showing the constraints, handoffs, and operating realities behind the work.
Gmail, YouTube, and Zoom Clips to Notion
Three custom MCP servers syncing Gmail emails, YouTube playlist transcripts, and Zoom Clips into Notion — with contact matching, browser automation, and email notifications. Codex setup + policy + runbook included.
AI-guided platform documentation
MCP server for the OUTERFIELDS Premium Content Network — AI-driven component exploration, pattern guidance, deployment, and architecture documentation. Codex setup + policy + runbook included.
Need this applied to your workflow?
I’ll map the first workflow, the risk points, and the cleanest path into production.