Built & Maintained with MACH-AI
Four real systems. Live in production. Designed, generated, deployed, and maintained end-to-end by MACH-AI — three public products and one enterprise API.
Each product lists the finish line it was built to — so the speed claim has a defined scope, not just a stopwatch.
> The Products
Not demos. Not prototypes. These are live products serving real users — each one built and continuously maintained through MACH-AI sessions.
SnapSite
Free AI Website Builder
> Describe it. AI builds it. Edit by texting.
Paste a URL or describe what you need — a portfolio, blog, wedding page, or small business site — and SnapSite AI builds a complete, mobile-ready, SEO-optimized website hosted instantly. Then keep it fresh by texting changes in plain English.
> highlights
- • AI site generation from a URL or plain-English description
- • Natural language edits — just text the change
- • Instant hosting with free subdomains and custom domains
- • Galleries, contact forms, AI blog, maps and directions
- • Free to start, Pro from $10/month
> services used
- • User authentication (signup, login, sessions)
- • Data API (sites, edits, blog posts)
- • File storage + CDN (site assets, galleries)
- • Payments (Stripe subscriptions)
> finish line
Production release: core flows (build, edit, publish) + auth + payments + persisted data + live custom domains serving real users.
LlamaNet
Free OpenAI-Compatible AI API
> Your Mac is idle 18 hours a day. Let it do something useful.
Turn your Mac, GPU rig, or any computer into a free, public AI API. Run Llama, Gemma, Qwen, Mistral, or DeepSeek behind an OpenAI-compatible endpoint with automatic load balancing and free public URLs.
> highlights
- • 60-second setup with one install command per platform
- • OpenAI-compatible /v1 API — drop-in replacement
- • Free public URLs via Cloudflare tunnels, zero config
- • Model manager: search Hugging Face and download with tracking
- • GPU auto-detect — Apple Silicon, NVIDIA CUDA, or CPU
> services used
- • Data API (nodes, models, request routing state)
- • File storage + CDN (installers, docs)
- • Deployment with auto-scaling
> finish line
Production release: install → register node → serve /v1 chat completions over a public URL + node dashboard + load balancing across nodes serving real API traffic.
TCF — The Content Factory
AI Content Creation Dashboard
> Images, videos, and social content from text.
An AI-powered content factory that turns text descriptions into photorealistic images, motion video, infographics, and social media content — with intelligent prompt enhancement and conversational refinement until the result is exactly right.
> highlights
- • AI image generation — photorealistic, cartoons, memes, infographics
- • Video creation with motion, audio, and cinematic effects
- • Intelligent prompt enhancement with automatic fact research
- • Conversational refinement loop for polished results
- • Session history with iteration tracking and cost visibility
> services used
- • User authentication (signup, login, sessions)
- • Data API (sessions, prompts, iteration history)
- • File storage + CDN (generated images and videos)
> finish line
Production release: core flows (generate, refine, download) + auth + persisted session history + media served via CDN to real users.
CPV Matching API
Enterprise Procurement Classification
> CPV matching rebuilt: 60% to 99% full-hierarchy accuracy at 1B tokens/month.
A CPV (Common Procurement Vocabulary) matching API for government tender discovery at scale. Rebuilt from a single-pass embedding classifier into a structured decision pipeline — rule-based pruning, hierarchical narrowing, targeted LLM reasoning, and confidence scoring with abstention. Enterprise system, shared here as a case study.
> highlights
- • Accuracy scored on the full hierarchy path (Division → Group → Class → Category), not top-code only
- • Bounded latency kept flat as volume scaled — cached CPV tree traversal, deterministic preprocessing
- • Token-bounded prompts with zero-shot → few-shot → deterministic fallback
- • Confidence scoring and abstention instead of forced guesses
- • Steady-state production load of ~1B tokens/month with decreasing cost per match
> services used
- • Data API (CPV vocabulary tree, match history)
- • File storage + CDN (CPV datasets, taxonomy assets)
- • Deployment with auto-scaling and monitoring
> finish line
Production release: hierarchical match API (Division → Category) + confidence scoring & abstention + deterministic fallbacks + deployed endpoint serving steady-state tender traffic (~1B tokens/month). Acceptance criteria: full-path accuracy and bounded latency as volume scales (reported 60% → 99% full-hierarchy accuracy — see case study).
> How They Were Built
Every product above went from idea to live production URL using the same MACH-AI workflow — no boilerplate, no infrastructure setup.
Describe
Plain-English product requirements in ask & architect modes
Generate
Complete apps — frontend, backend, auth, data, and payments
Deploy
One /deploy command to a live production URL
Maintain
Ongoing features, fixes, and updates — all via MACH-AI
> Build Your Own
The same AI that built and runs these products is ready for your idea.