Two build inventories: the self-owned media and creative agency this practice runs on, and an anonymized client stack shipped end to end. Published client results require a measured before-and-after record.
The agency publishes content, runs live social broadcasts, and supports a community. The systems below replaced recurring inbox scanning, footage processing, asset drafting, live-production control, and stack monitoring that otherwise sat with the operator.
Reads what happened overnight, pulls the day’s tasks and meetings, summarizes client calls, and flags the news breaking in the space, into one rundown before the day starts.
Takes approved webinar, keynote, and customer-call recordings and prepares transcripts, summaries, and clip candidates for review.
Drafts thumbnails, one-pagers, decks, and social graphics against the agency's brand rules, then queues them for approval.
Puts approved graphics, lower thirds, and scenes on one control surface for the human running the broadcast.
Checks agent runs and machine health, records failures, and routes a stalled job to the operator with context.
The operator approves audience-facing work and production changes.
A datacenter fiber and structured-cabling company was running a real operation on a dated template site and a phone number. They needed the whole stack, not a slide deck. It was built and shipped on their brand and their domain, made to run without me in the loop.
A custom, mobile-first site on their brand and domain: services, project galleries, reviews, and the structured data that search engines and AI assistants read.
A site chatbot and guided intake that catch every inquiry, ask the questions a real quote needs, and route the inbound lead before it can slip through the cracks.
A quoting system that works from a phone, so a quote gets built and sent from the job site instead of waiting for a desk.
A CRM holding every lead, job, and follow-up in one system instead of an inbox and memory.
A backend app the owner runs himself: upload and organize job photos, edit site copy, and read the monthly performance and search reports without waiting on anyone.
Search optimization and AI-chat optimization: schema, FAQ structure, AI-crawler setup, and a tuned business profile, so the company surfaces when someone asks a search engine or an AI assistant who to call.
The owner approves customer-facing output; the systems run day to day without the builder in the loop.
Each engagement starts with a named baseline and measurement window. The buyer receives the same definitions before and after, with failures and manual work left in the record.
Volume, hands-on time, wait time, rework, and the business cost when that cost can be defended.
What changed, what stayed manual, every approval or override, and the exceptions the workflow could not handle.
The same measures again, plus the operating cost. If a result cannot be supported, it does not get published as proof.
Public proof requires support for every claim and written client permission.
The written assessment identifies the workflow and the baseline it needs.