Andrew J. PyleBuilder · Autonomous AJ

I build agent fleets that ship real work.

I'm Andrew J. Pyle, a full-stack engineer & AI-native operator. I build the software, the search visibility (SEO, AEO, and GEO), and the AI automations that let a small team run like a much bigger one. I proved it across my own portfolio of dozens of products, platforms, and sites, where AI agents run the real work a company does. I build the same for the businesses I work with, and everything below is the proof.

The autonomous fleetA real day, sped up

One operator. 35 agents across 31 integrations ship code, SEO, content, and whole sites. A lead agent routes the work. It asks before anything is sent, paid, or deleted.

31 integrations· 13 categories
Agent teams
SEO & Content7
aacc-sf-triage
Strategy & Review5
aacc-spar
Build & Quality3
aacc-coverage-swarm
Planning & Intake7
aacc-initiative
Session & Memory7
aacc-recap
Analytics & Reach4
aacc-project-analytics
Mapping2
journey-mapper
From ask to shipped
AndrewAndrewassigns
→
Claude · JEVroute & run
→
Memoryrecall
→
Doctrine10 rules
→
Sparstress-test
→
Verifyin prod
35agents
31integrations
307initiatives
Shipped & installable
aacc-sparLive

Adversarial plan review — a red-team panel grounded in your own past mistakes.

aacc-substrate-auditLive

Agent-memory hygiene — finds drift, contradictions, and stale claims across your memory.

aacc-coverage-swarmLive

Test-coverage swarm with a mutation gate, so it can't write assertion-free tests.

In flight now
#646Memory Recall Reliability
#630Autonomous exec execution
#624Media Generation Spine (Higgsfield image + video
A real day, sped up — the fleet at work2,141 tool calls · 7 sessions · last 24h
Shipping activity, through the year
May '24cumulative merged PRsOct '26
7,687merged PRsrolling 12 mo
81reposshipped from
41projectsdesigned & shipped
103live sitesthe agents run
25/daycadenceavg, active days

See what it builds↓

Curiosity domains

The range, and what backs it.

Curious about a lot of things. Building is how I make sense of them, and the fleet is how that curiosity turns into shipped software.

12domains
103live sites
81repos
35agents
31integrations
307initiatives
AndrewJ. Pyle40BUILDSAI & agents62BUILDSSports7BUILDSMaps4BUILDSFood & BBQ5BUILDSLocal3BUILDSCivics3BUILDSAviation6BUILDSSaaS & tools16BUILDSOpen source2BUILDSWriting3BUILDSConsulting1EXPLQuantum
Built

AI & agents

40 live · 5 shown

Autonomous AJ (AACC)36 Claude Code skillsAnswerScopeAI-Visibilitycontent_gate

Hover to explore · Click to navigate

Domains active
8
across built + exploring
Year it started
2018
Nov 2018 — opened Codecademy
Projects
41
live + in progress
The pattern
Every domain starts as a question. The ones that become software are the ones where the question turns out to have a data layer.

What I ship

AI skills & open source.

The tools behind the portfolio — free libraries, installable agent skills, and products in the works.

Products2

AI-Visibility

Soon

Rank-tracking for LLMs — see where your brand shows up across the answer engines.

Product

content_gate

Soon

Will this content hurt your AI-search visibility? A do-no-harm SEO / AEO / GEO gate.

Product
Open Source16

ailab-core

Shared core for the ailab-* discipline labs: provider seam, cassette replay, and the regression gate primitive.

Python

ailab-rag

Inspectable RAG lab: chunk, retrieve, rank behind an honest, saturation-guarded eval gate with a real recorded-model pass. Stdlib-only.

Python

ailab-prompting

Prompt-engineering lab: zero-shot vs few-shot vs chain-of-thought plus a prompt-injection defense, behind an honest eval gate. Stdlib-only.

Python

ailab-agents

Bounded multi-hop QA agent: tools + context + MCP + evals. Fourth ailab-* AI-discipline lab, built on ailab-core.

Python

ailab-evals

LLM evals harness: datasets, runners, calibrated LLM-as-judge, pairwise mode, and a regression-gate CLI. Stdlib-only.

Python

ailab-template-python

Template for Python AI-discipline labs: uv, pytest, ruff, eval-gated CI, secret-scan wall, non-root Docker.

Python

ailab-template-dotnet

Template for C#/.NET 9 AI lab sidecars: Minimal API, Native AOT, xUnit, health probes, eval-gated CI, secret-scan wall.

C#

google_search_console_mcp

MCP server for Google Search Console — search analytics, URL inspection, and sitemap management for AI assistants (Claude Desktop/Code). Real API calls only.

TypeScript

programmatic_pages

Render real, static HTML from a Django queryset — schema.org + canonical, one page per genuine record.

Python

url_indexing_playbook

Ping search engines about your new URLs. Django management commands for GSC + IndexNow + Cloudflare Crawler Hints.

Python

consent_mode_v2

Google Consent Mode v2 — dependency-free drop-ins for Next.js, Vite/React, and server-rendered sites. No build step.

TypeScript

agent_action_approvals

A durable, human-in-the-loop approval queue for agent-initiated actions, as a small Django app.

Python

content_homogeneity_gate

A domain-agnostic gate that catches templated, near-duplicate content before you publish it at scale.

Python

cc_insights_scope

Repo-scoped, cross-machine Claude Code /insights — analyze one project's sessions instead of every local session.

Python

agent_db_guard

A config-driven Claude Code hook that stops an AI agent from running a destructive command against a production database by accident.

Python

ai-exec-org-template

An AI executive team that cannot act: 9 seats read your real numbers, one engine writes one draft brief with today's one action, two dead-man alarms. Zero dependencies. Built for Claude Code.

Python

Have something you need built or fixed?

I build production Django / Next.js platforms and human-supervised AI-agent systems. Solo, senior, and fast. Tell me what you are building.

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