aiseo-audit
A deterministic audit for AI search readiness. Analyzes how easily engines can fetch, extract, understand, and reuse a page, with evidence-tiered scoring, actionable reports, and no AI API calls.
Software Engineer / Los Angeles, California
I build software that connects data, people, and the tools they use. My work spans education platforms, AI assistants, open source utilities, and the automations that keep a team moving.

Jeffery Patterson
Software Engineer at AE Studio
Data platforms. Useful integrations.
Small tools with a reason to exist.
Selected work
Products, platforms, and tools
from across my work.
A deterministic audit for AI search readiness. Analyzes how easily engines can fetch, extract, understand, and reuse a page, with evidence-tiered scoring, actionable reports, and no AI API calls.
An assessment content store and runtime built around QTI 3.0. Converts JSON and XML, validates assessment structures, and processes student responses across multiple interaction types.
A cross-platform command bar for actions across everyday services. Combines a plugin system, keyword shortcuts, and integrations in desktop, mobile, and web experiences, with a companion documentation site.
Personalized, illustrated storybooks from a child’s photo and story preferences. A background generation pipeline connects story creation, images, payments, and PDF or EPUB export.
A desktop writing studio with an agent inside the document. Combines Markdown editing, anchored comments, reviewable AI edits, Git history, and a workspace for building reusable plugins.
A reusable plugin that supports deals from meeting preparation through scope, estimates, proposals, and statements of work. Also creates interactive demos and helps maintain pipeline follow-ups.
Project directory
Explore 61 projects, from shared platforms
to personal experiments.
Showing 12 of 61 projects
A deterministic audit for AI search readiness. Analyzes how easily engines can fetch, extract, understand, and reuse a page, with evidence-tiered scoring, actionable reports, and no AI API calls.
An assessment content store and runtime built around QTI 3.0. Converts JSON and XML, validates assessment structures, and processes student responses across multiple interaction types.
Education infrastructure for a school learning platform. Connects rostering, learning paths, assessments, and credentials through OneRoster, Open Badges, CLR, and CASE standards.
A cross-platform command bar for actions across everyday services. Combines a plugin system, keyword shortcuts, and integrations in desktop, mobile, and web experiences, with a companion documentation site.
Personalized, illustrated storybooks from a child’s photo and story preferences. A background generation pipeline connects story creation, images, payments, and PDF or EPUB export.
Connects AI assistants to Fathom meeting recordings, transcripts, and summaries through Model Context Protocol (MCP). Uses OAuth, encrypted token storage, and per-user access controls.
Brings Harvest time tracking into an AI conversation. Supports time entries, project management, and reports through an authenticated server with encrypted tokens.
An ASCII heat map for any directory. Makes file and folder sizes visible in the terminal so developers can see what is taking up space in builds, dependencies, or a whole project.
A zero-dependency XML utility for Node.js. Minifies markup, builds a traversable node tree, walks its contents, and renders elements as HTML while preserving text and attributes.
Turns shared meeting recordings into organized Google Docs. Verifies incoming webhooks, matches calls to clients, and files transcripts in the appropriate Google Drive folders.
An AI-assisted social publishing workflow for finding conversations, drafting posts and replies, and scheduling content. Includes engagement reporting, duplicate-content checks, and Bluesky integration.
A reusable measurement CLI that discovers pages, runs AI search and Lighthouse audits, and gathers search and traffic data. Produces reports with recommended actions across configured websites.
Technologies
Technologies used in the projects above.
Numbers show how many projects use each.
I’m a software engineer at AE Studio in Los Angeles. I work across backend systems, interfaces, and integrations, following a problem wherever it needs to go.
That work ranges from assessment infrastructure and cross-platform products to research websites and small tools that remove a repetitive task. I also explore games, simulations, and new ways to work with AI.
There’s usually another useful thing to build.