E-commerce · Retail & wholesale
One workspace. More ways to help.
AI for customer service, product image editing and company knowledge—all in one workspace.

I turn business information, everyday workflows and ambitious ideas into software people can actually use.
Engineer & founder Based in Arizona
A few ways that takes shape.
E-commerce · Retail & wholesale
AI for customer service, product image editing and company knowledge—all in one workspace.


Financial services · Lending
Machine-learning loan scoring, paired with a dashboard for understanding lending performance.

Office furniture · Workplace services
A company’s booking history, verified to the cent in its own cloud storage, with a dashboard and a read-only ChatGPT connection live behind a company sign-in, and a daily AI export being proven run by run.
Internal products · Developer experience
A shared view of project progress, with engineering knowledge that carries into the next session.
Every product has its own page,
with its real screens and its stage.
In productionLive, still rolling outIn my own daily useBuilt or delivered, not activePaused or prototypeEarlier work
The company’s booking history back to 2009, verified to the cent in its own AWS storage, with a dashboard and a read-only ChatGPT connection live behind a company sign-in; every answer ties its figure to the report row it came from. A daily AI export agent is built and being proven run by run.
Dashboard and ChatGPT connection live · daily export being proven
Matched farm spreadsheets to store products and wrote recipes, purchase links and 2,789 arrangement plans onto a test copy of the store, each traced to its source.
Delivered on a test copy of the storeA development suite for AI agents: project management, engineering memory and orchestration.
In my own daily use · deeper integration in developmentTeam knowledge around each person’s own memory, and a chat that chooses which knowledge to read and lists its sources, with voice and web research.
MVP · live since July 2026, two of seven team brains filledSix months of support conversations, product-page questions and reviews, grouped into topics and checked against what the website already answers, with a review queue of the answers and articles that are missing.
In the company AI workspace since June 2026 · nothing published through it yetConnected Instagram accounts and their imported posts in one media library, with organisations and roles. A prototype on its third build; importing is not yet dependable.
Prototype · post importing still being provenGenerative product-photo editing with reusable looks: new backgrounds, exact brand colors and transparent cutouts, with the cost of every run shown before it is spent.
In production · released August 2026
AI-assisted extraction turned thousands of historical fee proposals into a searchable research workspace, with fee-estimating tools on top. Led delivery with subcontracted development.
Delivered with development partners · estimates not yet validatedA web app for floral consultants: an event plan and stem-by-stem recipes become a priced shopping list and a customer presentation. Built, not launched.
Built from the team’s wireframes · not launchedFour AI apps for inquiries, reviews, claims and chargebacks, with shared case history and a Chrome sidepanel. They replaced the paid AI writing tool the team used before, saving about $24,000 a year.
In production · since January 2026Machine-learning loan scoring inside the lender’s own application workflow, saving about $24,000 a year, with a five-view dashboard for seeing how lending decisions play out.
In production · scoring API and dashboardTwo storefront flows: rush-order requests that reach support as ready-to-answer tickets, and contest entries turned into review cards and draft store bundles.
Rush form live · contest processing run on 2025 entriesAn AI assistant for commercial real-estate advisors, built to email listing brokers, read their replies into the advisor’s tracker and flag the decisions that are hers. In development: the private beta is paused while each step is proven on live test campaigns.
In development · private beta pausedA storefront chat panel: shoppers describe what they need and get matching catalog products with prices. The AI only reads the request; code runs the search.
In the store theme · behind an A/B test since January 2026A Swift app that combines conversation, itinerary editing and maps.
Earlier work · personal prototypeWebMarkets’ first client portal, built largely on my own in two weeks during my internship.
Earlier work · 2024 internshipFrontend and backend contributions to WebMarkets’ domain-focused SEO platform.
Earlier work · 2024 internship, team project
An interactive 3D learning environment for machine-learning concepts.
Earlier work · ASU team capstoneThree-a-side AI fighters play a bomb-plant mode in a 3D spectator view, while the same simulation runs headless to measure balance across hundreds of matches.
Complete local build · not releasedA Unity environment with custom terrain, animation and third-person exploration.
Earlier work · personal projectA state-based Java game with two-player and free-movement variations.
Earlier work · personal projectYour information, tools and everyday workflows—connected through software built around the way your business operates.
Connect scattered documents and systems so AI can answer questions with the right context.
Give AI the tools to carry out repeatable tasks, with scheduled routines and human checkpoints.
See trends in a custom dashboard. Ask questions and shape what gets tracked through conversation.
I’m Baylor, founder of Manifold Engineering. I turn business problems into useful AI and software—from the first idea to the interface people use.
I build across the stack, and build tools that make the engineering process clearer, too.
Web applications and product workflows
Data processing, APIs and integrations
Connected applications and shared data
Selected technologies used across the work.