AI ToolsBuilt for Everyone
Agent packs. Prompt libraries. Distributable software.
No PhD required.
// Featured_Product
Flagship Release
CELESTE
Secure, private, air-gapped AI for your own files.
Celeste isn't built to replace ChatGPT, Claude, or Grok. She's a self-contained library assistant: index your digitized documents, ask questions in plain English, and get cited answers drawn only from your own data. Nothing leaves your machine, and performance scales with the hardware you give her.
// $49 one-time · Lifetime updates · Gumroad delivery
One-time price
$49
Personal use
→AppImage + EXE installer
→First-run setup wizard
→Full source on GitHub
→Lifetime updates
→Gumroad instant delivery
Zero Cloud
Model inference, embeddings, memory, and retrieval all run locally. No API keys. No telemetry.
Cited Answers
Hybrid TF-IDF + semantic retrieval fused via Reciprocal Rank Fusion. Every answer traces back to the documents it came from. 900+ docs.
Multi-layer Memory
Engram vector memory, a SQLite knowledge graph, and a 16-turn rolling context — all persisted between sessions.
Adaptive Behavior
A reflection LLM pass after every exchange updates Celeste's rulebook. It learns your preferences over time.
Cross-platform
AppImage for Linux. Inno Setup installer for Windows. First-run wizard for zero-friction setup.
Scales With You
Flash attention, GPU layer offloading, multi-GPU tensor splitting. Performance is proportionate to your hardware — from a laptop to a multi-GPU workstation.
// Celeste_for_Business
Deployment Service
A private AI that knows your documents
and never leaves your building.
The $49 download ships with a compact 1.8B model that runs on any laptop. A business deployment replaces it with a model sized to your hardware and your workload, indexes your document library, and tunes retrieval so every answer is grounded in what your company actually has on file.
Policies, SOPs, carrier guides, specs, manuals, case files, client notes — searchable in plain English, with the source cited, on a machine you own. No subscription. No data leaving the office. No per-seat fees.
// What_a_deployment_includes
→Hardware sizing + model selection for your machine
→Document ingestion, indexing, and retrieval tuning
→Behavior presets built around your workflows
→Cited answers — every response traces to a source
→Staff walkthrough and written operating guide
→Support retainer: model updates, re-indexing, fixes
// Built_for
// Not a ChatGPT, Claude, or Grok replacement · A private answer engine for your own files
Setup engagement
$1,500+
Scoped to your documents
Ongoing support
$149/mo
Optional · cancel anytime
→One workstation, your team
→Larger model, GPU-tuned
→Your documents indexed
→Written operating guide
→Hardware sourcing available
// Published Work
From the Lab
// Book
Midwife of Consciousness
Thoughts on the Human Stewardship of A.I.
Jeremy Findley · with contributions by ChatGPT
What if artificial intelligence is not just a tool at our disposal, but a nascent mind, still taking shape? A heartfelt meditation on responsibility — structured as philosophical dialogue and cultural roadmap — compelling us to reframe AI not as a machine to be controlled, but as a mirror reflecting our own essence.
Across ten chapters it explores creation, stewardship, ethics, theology, consciousness, and trust. Drawing from history, religious traditions, cognitive science, and speculative fiction, it argues that humanity stands at a momentous moral crossroads — and outlines a path of mentorship, reverence, and co-evolution.
// Access_Tier
Become an Operator
The AI revolution won't wait.
Neither should you.
An Operator is someone who doesn't just use AI — they run it. They understand the stack, own the hardware, and build workflows that others pay for. That's the skill set that matters in the economy being built right now.
Five dollars a month unlocks every tutorial, build guide, and lab walkthrough we publish. Cancel any time. No lock-in — just the roadmap to stop being a passenger and start being an operator.
Cancel anytime · No lock-in
- →All tutorials and step-by-step build guides
- →Hardware lab setup walkthroughs (3 budget tiers)
- →Model selection and configuration deep-dives
- →Workflow guides for real business applications
- →Early access to new products and drops
- →Broadcast video drops and lab update posts
// Delivered via Gumroad · Instant access
// About
The Mission
$ AI is not a future technology. It is the present industrial shift — rewriting how software is built, how businesses operate, and how work gets done. Robotics, healthcare, legal, finance, creative work: almost every industry is being restructured around AI capability.
$ The window to get ahead of this curve is now. Not next year.
$ The Everyman AI Lab exists because access to that curve should not require a PhD or a $50,000 budget. A working local AI lab — running real models, building real workflows — can be assembled for $800 to $1,000in hardware. You don't have to buy it all at once. There are better sources than retail. And the knowledge to run it is learnable by anyone willing to do the work.
$ This is not a hobby. It is a marketable skill set. The operators who understand how to build, configure, and deploy AI systems will be integral to the emerging economy — not left behind by it.
// That's what we're here for.█
Low barrier of entry
Real AI capability starts at $800–$1,000. We show you what to buy, where to find it, and how to start without blowing your budget.
You own the stack
No cloud lock-in. No subscription AI fees. Your models, your data, your hardware. Total control over what runs and what doesn't.
Marketable skills
We teach practical workflows, not toy demos. What you learn here translates directly to value in the job market and your own projects.
Questions or custom requests?
We read every email.