I combine programming, technical operations, and years of social and local marketing to turn complicated work into something people can understand, operate, and improve.
Across hosting, support, local business, field media, and software, I have done the same kind of work: understand the moving parts, build the system, and stay close enough to the operation to know whether it actually works.
Built a message-triage system and trained shifts of three to five people to handle high-volume support at a 100% reply rate.
Eleven years at CR Cell Phone Repair, connecting front-line customer reality, technical problem solving, operations, promotions, and community reputation.
Built and supported web, hosting, and marketing for bars, restaurants, retail, venues, comedy clubs, recruiting, and logistics—including highly local targeting.
Photography, videography, inventory management, and the logistics of keeping multi-location dealership media current.
Hosted a daily-then-weekly X Spaces slate for news and industry networking, while building the agent workflows and automation systems that now shape the tools on this site.
I start with what needs to happen, who is involved, what we already know, and what it will take to keep the thing running. Then I build the smallest useful test.
First diagnose the local job: who needs to act, why they are in the area, and what would count as success. Add the optional map layer when public geography will improve the decision.
Use a public business or campaign address—not a private home address. The address is geocoded for this session and is never sent to Kit.
No geography loaded yet.
This interactive blueprint turns eight practical decisions into a mostly autonomous system for reviews, comments, messages, alerts, response drafting, escalation, and institutional memory.
Scheduled collectors or webhooks bring supported messages, reviews, questions, and updates into one normalized index.
The agent classifies topic, sentiment, customer need, severity, duplication, ownership, and response deadline.
Routine work can be automated. Sensitive, novel, regulated, or high-impact actions move through named human gates.
I connect the behavior that matters, observable demand, audience context, channel mechanics, local conditions, and the organization’s ability to deliver. The point is not a longer channel list; it is a smaller set of opportunities worth testing.
Awareness is only useful when it changes something. The first step is to define the real job: a visit, inquiry, purchase, application, registration, service interaction, recommendation, or measurable increase in trust.
Customer questions, transactions, searches, attendance, reviews, service interactions, local knowledge, and geographic patterns reveal different parts of the opportunity. Population and household scale, connectivity, mobility, language access, and place type add context to what can work locally.
The live local layer uses Census ACS data ↗ and generalized TIGER boundaries. Aggregate characteristics inform access and channel questions; they do not predict an individual.
| Evidence signal | What it helps determine | Possible channel system |
|---|---|---|
| High-intent place searches, directions, calls, reviews | People already trying to choose or arrive | Search, Maps, listings, reviews, location pages |
| Recurring questions, demonstrations, expertise, recognizable people | Useful stories the organization can sustain | TikTok, Reels, Shorts, Snapchat, articles, email |
| Residents, workers, visitors, and event timing | Why people are present and what they need next | Local social, Snap Map, events, paid reach, field media |
| Trusted organizations, creators, customers, staff, or venues | Who can add context and distribution | Partnerships, community channels, contributors, local media |
| CRM, sales, attendance, support, or membership evidence | Who converts, returns, needs help, or drops out | Email, SMS, service, retargeting, and content priorities |
| Access, language, mobility, and connectivity context | Where a digital-only plan may create friction | Maps, partners, field signage, multilingual review, offline-to-online paths |
The readiness dimensions test whether the organization can support the opportunity: clear ownership, dependable inputs, delivery capacity, account control, response coverage, measurement, and a shared workflow.
Short video creates a video-production model only when the evidence and the organization select it. A service channel, map presence, community network, or mixed program creates a different capacity model.
The Determinator turns evidence into a now / test / later matrix, then asks what would confirm or reject each recommendation:
Aggregate neighborhood characteristics are used to improve access, language review, timing, surface selection, and service—not to decide what an individual believes or deserves. Housing, employment, and financial scenarios receive restricted-targeting warnings.
Platform capabilities also remain distinct: Snapchat Public Profiles ↗, Google Business updates ↗, and Nextdoor business reach ↗ solve different local jobs.
Methodology reviewed July 2026. Live public demographic results use 2024 American Community Survey five-year estimates and 2024 generalized TIGER boundaries. Estimates describe selected Census geographies and do not define an informal neighborhood.
Tell me what you are trying to make work, what is getting in the way, and what you already know. The form sends through the website; no mail app is required.
This is not a video-posting test. It starts with the outcome, the people, and the evidence you already have—then determines what kind of social presence, if any, the organization is equipped to operate.