Selected operating work / 2026
Internal operating work completed by Blake Hamilton in his role with a Kansas City multi-brand retail company.
Measured results · clear attribution · no speculative theaterTHE PROOF LEDGER
Snapshot: July 2026. A system counts when it is used in an ongoing operation—not when it is merely prototyped.
Production workflows, private tools, and deployed demonstrations.
Including production rollout, pre-beta, and working product foundations.
Defined concepts are tracked separately and never counted as shipped proof.
One approval workflow now covers the entire location portfolio.
Every incoming Google review has received an approved response.
Sales, advertising, and email data brought into one daily view.
CASE STUDIES / 01—04
Each case follows the same standard: the operating problem, the system built, the measured result, and what remains estimated.
A one-click approval system turned a neglected public-facing workflow into a same-day operating standard.
A custom, phone-friendly intelligence platform replaced a dozen routine reporting logins with one trusted operating view.
An internal operator used AI-assisted strategy and implementation to improve paid performance and replace report-driven SEO with a shipping cadence.
A custom application gives local makers direct access to their sales performance and replaces a recurring manual reporting workflow.
THE SYSTEM REGISTER
Internal operating work, private products, demos, and service concepts are labeled by context. Only shipped and in-use work feeds the headline proof count.
Production workflows, private tools, and deployed digital builds that are doing real work.
Generates and publishes review replies across 19 profiles with a one-click human approval gate.
Implements and re-measures technical and on-page SEO improvements across multiple brand sites, including a scored audit and branded implementation report.
An AI-assisted operating process for creative diagnostics, account structure, budget decisions, and scaling rules.
A daily multi-brand intelligence platform unifying sales, advertising, and email performance across twelve platform accounts.
Blake’s first substantial application: an always-on family dashboard for calendars, chores and points, shared groceries, meal planning, and kitchen-iPad use.
A React planning tool with drag-and-drop prioritization, persistent local state, and an AI Agent assignee.
Custom websites, storefront code, and landing experiences shipped across a wide range of projects, with ongoing conversion, UX, and SEO improvements built into the work.
Agentic repository setup, pre-push safety scanning, commit and push automation, and attribution configuration.
A deployed event-planning application built as a working product demonstration.
Products with working foundations, active rollout, or defined implementation work underway.
Self-serve sales reporting for 39 vendors across three distinct marketplace locations.
A Claude API swing-trading system with consequence-based model routing, Supabase infrastructure, and deliberate friction around live trading.
An agent-based office-management product being developed around a general contractor’s operating needs.
Defined systems with a clear user, workflow, and outcome—but not counted as shipped proof.
Claude Agent SDK, Next.js, Google SSO, and sandboxed execution for team-wide agent access.
A payroll-to-benefits contribution pipeline designed to replace an inconsistent manual cadence.
Product mockups, design-placement tests, and new-product visualization before physical samples.
A repeatable process for concepts, pricing, financial models, launch plans, operations, and marketing.
A structured assessment of where practical AI can save time, reduce cost, or increase revenue.
Lead qualification, customer-information organization, and timely personalized follow-up.
Search and answers across company documents, policies, SOPs, and institutional knowledge.
Guided training, common-question support, and reinforcement of company procedures.
Customized proposals, scopes, and recommendations generated from discovery notes and requirements.
Common-question responses, escalation routing, and reduced repetitive support work.
Ranks potential AI projects by impact, implementation difficulty, cost, and expected return.
Maps recurring tasks, bottlenecks, handoffs, and software to uncover worthwhile automation opportunities.
Turns interviews, notes, and existing processes into organized, repeatable procedures.
Commercial capabilities that organize the work but are not counted as individual systems.
A fractional AI operator and CAIO practice anchored by opportunity audits and practical implementation.
Web design, photography, brand identity, and creative production.
COUNTING STANDARD
01Platform and workflow counts come from production systems.
02Advertising outcomes come from the brands' reporting accounts.
03Labor figures are estimates based on the prior operating workflow.
04Production-rollout work is not counted as a live operating system.
05Repeated mentions and cross-category projects are counted only once.
OPEN BRIEF / NEW SYSTEM
Bring the recurring task, scattered data, or operating question. We will find the useful system behind it.
Tell me where work gets stuck