Independent Automation Operator & Builder

Automation systems for people who move faster than their operations.

I use OpenClaw to take in emails, tasks, orders, leads, and reports, check what needs to happen, and send the next step to the right place.

Office work, cleaned up

Inputs come in. The right next step goes out.

OpenClaw

Inputs

Email

new request

Order

closed sale

Quote

supplier price

Task

needs follow-up

OpenClaw

sortchecksend

Outputs

Reply

drafted or sent

Task

assigned

Report

updated

Alert

flagged

The work is not mysterious: collect the incoming item, decide what it needs, and push out the next action without waiting on someone to remember it.

Problem

Moving fast breaks weak operations.

When your ideas, leads, tasks, vendors, data, and follow-ups live in scattered places, speed turns into chaos. The goal is not more tools. The goal is a system that turns context into action.

Scattered Inputs

Ideas, leads, messages, vendors, and tasks arrive from everywhere.

Manual Decisions

Important work depends on someone remembering, checking, routing, and following up.

Execution Drag

Progress slows because the system needs constant human babysitting.

Systems

I build the systems that remove the drag.

Workflow Automation

Replace repeated manual tasks with simple flows that run the same way every time.

Delegated Agent Systems

Use AI helpers to read, summarize, sort, and prepare the next step.

Data-to-Action Loops

Turn raw inputs into alerts, reports, and follow-up tasks.

Lead Routing

Capture, qualify, organize, and route leads before they go cold.

Sourcing Checks

Evaluate suppliers, quotes, freight, risks, margins, and viability faster.

Automated Profitability Studies

After an order closes, run the cost, fee, margin, fulfillment, and supplier review automatically.

Reporting Systems

Turn activity into operator-ready summaries and dashboards.

Follow-Up Orchestration

Keep prospects, vendors, customers, and internal work moving automatically.

OpenClaw

OpenClaw moves work from input to output.

OpenClaw keeps the boring office loop moving: read what came in, check what matters, choose the next step, and send it where it belongs.

Input Layer

Leadsmessagesfilesvendor datatask updatesreports

Handling Layer

readchecksortassignsendrecord

Output Layer

Alertsfollow-upsdashboardsdecisionsSOPscompleted tasks

Activity

Build log

A running record of systems, experiments, automations, and execution loops.

repo: gavinpelletier / execution-systemsbranch: main
active operating log
Automationshipped2h ago

Added lead routing logic for inbound opportunities

Routes incoming leads by source, urgency, and next action so follow-up does not depend on memory.

9f21c7alead-router.tsfollow-up-rules.jsoncrm-sync.ts
Sourcingtesting1d ago

Built sourcing check workflow for supplier decisions

Turns supplier quotes, freight notes, and margin assumptions into a faster go/no-go review loop.

c14a8bdsupplier-check.tsmargin-model.tsvendor-notes.md
Reportingautomated3d ago

Connected daily reporting loop to operator dashboard

Summarizes activity, flags stuck items, and pushes the next actions into a single operator view.

71de30fdaily-summary.tsoperator-dashboard.tsxalerts.ts
OpenClawrefining5d ago

Refined OpenClaw agent memory structure

Improves how recurring context, procedures, and decisions are stored for later agent execution.

a81f2ccagent-memory.tsprocedure-map.jsonexecution-context.ts
Execution Labtesting1w ago

Tested rapid revenue loop for commerce experiments

Structured a fast test cycle for sourcing, listing, pricing, margin checks, and follow-up.

48bb7d1revenue-loop.mdpricing-check.tsexperiment-log.md
Workflowshipped1w ago

Created follow-up orchestration for stale tasks

Finds tasks with no movement, decides the next message or action, and queues the follow-up.

d03e6aestale-task-agent.tsmessage-queue.tsnext-action-rules.json
Practical systems, still moving.

Process

Built through execution, not theory.

2025-Now

Independent Automation Work

Building OpenClaw-powered workflows, agent systems, lead flows, sourcing checks, reporting loops, and execution automations.

2024

AI + Trading Experiments

Tested AI-assisted research, signal tracking, decision logging, and fast feedback systems for market ideas.

2023

Smoke & Slice Commerce Systems

Built product research, sourcing, positioning, content, and operational processes for a physical product brand.

Contact

Moving faster than your systems?

I build automation layers that turn scattered work into clean execution.

Contact Gavin