What I have built with AI, so far.
A working map of the systems, skills, agents, apps and workflows I run day to day. Most of it rests on one idea: a sovereign, local-first operating layer for an autonomous AI assistant. The whole thing runs as a flywheel, so every build becomes the seed of the next product.
A professional portfolio of the AI systems and products I design and build. A capability map, not a sales page. Client-confidential, employer-internal and personal material is deliberately left out.
The meta-layer. Not features, but the substrate everything else runs on: a persistent AI identity, a file-based second brain, a skill router, memory, a task executor, and a security and self-review spine. All local-first, file-based, and inspectable.
A self-updating dashboard that finds every app I have built by scanning my projects folder, shows what is running, and lets me open or run any of it from one front door. Click any app and its record opens: live or local, the login it needs, a running list of improvements, and its pending tasks. It turns a sprawling folder of side projects into a studio I actually use.
My file-based second brain, built as a wiki of plain markdown pages that opens straight in Obsidian, cross-linked page to page. Sixteen hundred conversations sorted and distilled into curated pages I return to daily, each with a raw signal layer underneath. New material is folded into the existing pages rather than piled on top, so the knowledge compounds. Built from the method I learned in the mastermind, made my own.
A persistent identity and standing rules that load every session, so my AI knows who it is working with and how I work before it starts. The result is an assistant that acts first, finds answers itself, and keeps its own knowledge base current.
A menu my AI reads before every request, routing each task to the right skill before it ever works by hand. A refresh script keeps it in sync with what is actually installed, and the method has become a teaching module in its own right: give your AI a menu.
The layer that picks the right AI brain and thinking depth for each task, and keeps private work on my own machine. Effort steps up only when a job is genuinely hard or costly to get wrong, and creative work goes to a more narrative model than the one used for logic and code.
Two layers of memory, one fact per file plus a cross-session store with semantic search, so past decisions are recalled rather than re-derived. It remembers decisions, preferences and standing feedback across months, and it is all plain files I can read.
My cockpit. A board with an AI executor that runs cards on a schedule, extensively extended from Joe Che's Mastermind base app into my own way of working. It also carries a live toolkit: every installed skill read straight from disk into a searchable table, beside a prompt library, numbered operating procedures, and a view of every API integration.
A reusable pattern for safely running an AI agent as a child process from inside any app: a button, a board card, a cron. It bakes in the hard-won gotchas, scrubbing leaked session environment, closing stdin, pinning the working directory, a one-run-at-a-time guard, timeout and error-back-to-queue. Any app that wants a "run with AI" button needs exactly this.
Two scanners guarding the machine. A package-security scanner runs an automatic nightly scan, summarises findings with an AI pass and alerts by Telegram and desktop only on real danger, with a VirusTotal layer. Alongside it, Threshold, my own clean-room zero-dependency package scanner that checks reputation, install scripts, risky patterns, versioned CVEs and typosquats into Clear, Caution or Stop verdicts.
A self-review that fires at the end of every session: capture loose ends, check for a reusable product, clean the voice on anything outward-facing, and a final honesty pass.
Standing Goals rechecks a rule every day so a goal proven once cannot quietly rot, a site going down, a domain lapsing, a banned phrase reaching published copy, and it wakes me the moment one breaks. The Trust Ledger scores each skill on its real pass rate and graduates it on the numbers. A goal checked once is just an assumption with a timestamp.
A self-protecting backup for my local tools that refuses to save a broken copy over a good one. Once an hour it checks the live data three ways, that it is a sensible size, that it still parses, and that it still holds real content, and only then does it tuck a compressed, timestamped copy into a folder outside the app, where a wipe of the app itself cannot reach it, with two weeks of history and a one-line restore. The trap most backup scripts fall into is faithfully copying an already-corrupted file over the last good one, so this one will not write at all unless the data is intact. I built it after watching a peer lose a whole local board to an agent that overwrote everything while trying to fix a mistake of its own.
A guard that reads what any AI tool is about to do and refuses the destructive moves no normal work makes: overwriting the one data file an app owns, or an rm -rf of a home folder or a whole app, even when the command hides behind a cd, a subshell, or a script one-liner. It runs on every session, including anything an agent does on its own, and it steps aside the moment you tell it to. Hardened through a three-pass adversarial review where an independent AI grader tried to break it, found real bypasses, and every one was closed and re-verified.
Models running locally, sensitive work kept off hosted AI entirely, with a switch to move the model store between drives. Privacy is the architecture.
The system that watches the system. A probe loads a real page of my command centre every five minutes and alerts my phone the moment it goes down, once per incident. A fleet watcher digests every scheduled job's health each morning, and it always sends, so if the watcher itself dies the silence is the alarm.
My AI does not write to everyone the same way, because I do not. A contacts brain holds who each person is and what they need from me, and every draft is shaped by the relationship before a word is written.
A local proxy that fronts a free model backend, for zero-cost calls during development. The same trick gives any of my public tools a working AI brain at zero cost per visitor.
My global fetch tool, a hardened zero-dependency fetcher for pulling and cleaning web content for the assistant to read. The original build came from Joe's workshops.
Small housekeeping tools: one moves my local model store between drives, one keeps my machine and folders in order.
Original Claude Code skills I have written: composable capabilities the assistant invokes by name or fires automatically when a request fits. Seven of them are reasoning lenses, ways of thinking rather than tasks. The rest encode a brand, a teaching engine, or a security judgement as reusable code.
Reusable reasoning modes the assistant applies to strategy and design work, each a distinct way of thinking through a problem:
An entire brand system encoded as a skill. Palette, type scale, glass and button utilities and layout rules, with the live stylesheet as the single source of truth, so anything built for the brand looks like it belongs on the site without anyone asking. This document is rendered in it.
The words-and-structure sibling of the brand skill. It enforces honest engagement architecture on any reader-facing surface: a hook inside five seconds, open loops and forward pull, rhythm and pattern interrupts, without ever feeling marketed to. Plus a standing repurposing check.
Scaffolds a self-paced course from one architecture: content as data, one template renders every screen, an AI coach on every activity with three sovereign lanes (managed, local model, or bring-your-own-key), and a workbook that downloads as a real deliverable. Proven across multiple courses.
One-shot skills that read a security alert and explain it calmly: the verdict, the flagged packages, and whether it is new or self-cleared. One has since grown into a standalone companion tool, hardened through five rounds of adversarial review of a single promise: a real malicious signal can never be muted.
The last mile between "it works" and "it is safe in front of strangers". A go-live skill that fires when a build is declared finished: it makes the revert path first, writes a binary pass/fail checklist before reading a line of code, tests cheapest-first, then hardens secrets, rate limits, error surfaces, consent and discovery, and closes with a ship report where every claim is labelled verified, inferred or assumed. Benchmarked against an unaided pass on two seeded products, it lifted the launch-readiness score from 53 percent to 93 percent.
A tailored set for production work: prompt design for any image or video generator, a strategy-first logo and identity workflow, and an HTML-video suite covering compositions, captions, text-to-speech, audio-reactive visuals and rendering. The creative pipeline lives as named capabilities, not loose habits.
A thousand particles that chase your cursor, rebuilt from scratch as a tiny dependency-free physics toy after Google used the effect for its Antigravity launch. The marks rest quietly, then gather, streak and warm into colour around the pointer, and it ships as a reusable component that powers my own site heroes.
Turns a long screen recording into a short, clean, shareable cut without scrubbing hours of footage. It finds the moment from one grid of sampled frames, crops away everything around the video, then assembles the edit: a little context before, the moment in full, a little after, with the sound made loud enough to post.
Plans the launch and growth of any book series on the six mechanics the best-selling novelist in history actually used, paired with a current self-publishing playbook. It names the winnable category, the pricing funnel, the release cadence and the read-through architecture, and every platform figure is flagged for live re-verification.
Turns one short story into a narrated film plus vertical Shorts in a single guided run. Proven end to end: it rendered a real eleven-minute film with cinematic stills that change with the story and captions timed to the voice, then locked the template so every episode after is fill-in-the-blanks.
A local voice-cloning studio that turns one short reference clip into a permanent, free, fully private custom voice, no subscription, no cloud, nothing ever leaving the machine it runs on. Record twenty to ninety seconds once, and any character, brand, or narrator has a real voice that can read arbitrary text or full paced scripts forever after, mastered to broadcast-standard spoken-word loudness. Built as a reusable skill so any future project can lock its own voice in minutes instead of renting one every month.
A drop-in that gives any web page or app a genuinely warm read-aloud voice, and, uniquely, reads text made up on the spot (a reader's name, an AI-written line) in that same voice, not the flat robotic one every browser ships with. It layers three sources so quality stays high and nothing ever goes silent: pre-recorded neural clips for known lines, a neural voice running right in the browser for anything new, and the plain system voice only as a last resort. Works offline after first use, speaks more than one language, and keeps the voice model swappable so an owned or cloned voice can replace it later. Built as a reusable skill and packaged as a brandable tool.
Holds a true idea perfectly still and changes exactly one thing about how it arrives, choosing from twelve named moves: the because behind a claim, the narrator, the scale, a name coined for the thing you have felt and never labelled. An honesty gate sits above it all, and an angle ledger keeps a favourite move from quietly becoming a tell.
Detects and strips AI writing patterns, then puts my real voice back in. Runs before anything I publish. Built on the voice module from Joe Che's Mastermind.
Generates scored, ready-to-film Reel hooks from my saved brand voice, in three modes: reverse engineer the top posts of accounts I study, work backwards from a call to action or lead magnet, or straight generation from brand voice plus the week's topic.
Persistent AI personas with their own identity, look and behaviour, built on a reusable avatar pipeline that takes a character from concept to a trained model to a marketing system.
A reusable end-to-end pipeline for standing up a new AI persona: concept and lore, a brand guide, a landing surface, concept imagery, then a trained model with the anatomy and consistency gotchas baked in. Run four times across four distinct characters.
A B2B venture building archetype-driven custom AI avatars for businesses, specialist-built and delivered fast, aimed at verticals like real estate, legal, healthcare and fitness. Brand and identity complete, building toward launch.
The first finished persona: a Caregiver-archetype character with her own trained model and trigger, a full persona bible, a curated training dataset, a training pipeline, and a complete marketing system built around her identity.
My openly-AI coastal persona and her golden retriever Charlie: a trained face, her own voice, and a complete content site with a long-form journal, four themed dog rooms, a studio section showing exactly how she is made, and a shop. Her journal was filled at scale by a content engine that ships two dozen on-brand articles in one sitting without the voice drifting.
A consumer quiz that tells you your personality as an avatar, on a real Big Five engine. It anchors a public brand with paired quiz reports and a companion book arm.
A personal autonomous agent with a one-command switch between a free local model, a paid one, and a hosted frontier model, whichever the task deserves. A phone messaging channel is in build so it can be reached on the go.
A self-model compiler that turns a personality profile into a portable self-file: a plain About Me, a directive system prompt, and paste-ready instruction blocks auto-capped to each tool's real limits, so your own Claude, ChatGPT or Gemini actually knows you.
My own delegation team of Claude Code agents: an orchestrator for long heavy builds, a writer for voice work, an analyst for reasoning and verification, a fast worker for bulk, and Game Forge for whole games.
A local agent and template set for generating on-brand assets across my projects.
Shipped and working builds. Most are zero-dependency Node or Next.js on a local-first stack, many deploying to Cloudflare Workers and Supabase. A selection across the brands.
A graze-to-score arcade game built as a single file, no engine and no dependencies. Touch anything and the run ends, and the only way to score is to fly close enough that sparks jump, with a heartbeat that quickens near danger, a slow-motion kill-cam, daily seeded runs and an economy where losing pays. Play it inside Muplu, and it is heading to Steam as a tiny native desktop app.
The sequel that turns the first game on its head. In FLINCH you were prey and the whole craft was to touch nothing; in PREDATOR you lunge through red to shatter it and the kills chain, so diving deep into the swarm pays far more than picking off safe singles. It reuses the FLINCH engine wholesale and was proven genuinely aggressive by an automated hunter before a person ever played it.
A physics roguelite where the ball is a little guy: flick a rag-doll stickman crash-test dummy into a peg mountain of office furniture, watch him flail, snag and dangle one-handed off the jackpot ledge, and get paid for wherever he lands. The design is locked across five documents, the prototype is verified with measured drop economics and honest physics, and it is heading to Steam.
An internet playground of odd little toys, in the spirit of neal.fun. Five are live so far, each on its own shareable link with no signup and nothing to install, behind a homepage whose thumbnails are tiny live animations of the toys themselves. New ones arrive over time, and the whole thing runs for almost nothing.
A free image library in the spirit of the big stock sites, with three differences none of them can copy. Every picture shows the full recipe that made it, the model, the words, the settings, with a copy button, so a woman leaves with the image and the means to make her own. The catalog grows to order overnight: describe the picture you could never find, other women vote, and the top wishes are grown on my own machine while I sleep, appearing the next morning credited to the woman who asked. Every single image is free with no wall.
A gentle bedtime storybook a child helps make, tapping the page to add a star, a shell, or a lantern of their own. Five short stories, every page its own paper-cut scene made on my own machine, read aloud in a warm neural voice that keeps working even offline. One switch turns the whole book, words and narration, into natural Spanish. Made for a friend's little one.
My brand's home. A bright day and a deep night from one design system, switched by every visitor, with membership you can pay for by card or in crypto and a recognition layer where finished work moves a member through five named levels. Building out fast now.
The public home of everything on this map, live at builds.herfrontier.com: a card directory of every build with honest status badges, the graduation film streaming from the page itself, and a five-tenet "How I build" manifesto naming the rules the whole portfolio follows. It runs the Her Frontier day and night themes from one token set, and viewers can watch the page through a scraper-resistant email link or an Atom feed, with no backend behind any of it.
A free, self-paced workshop that walks a woman through building her own real website using two things she already has: her own AI brain and her own brand. She never learns to code; she learns to direct, while her Sovereign Brain writes the actual site and her locked brand kit keeps every page looking like her. Eight steps take her from naming the site's one job to a live link on the free internet, with a bonus module that teaches tasteful motion and hands her the exact code to add it. She walks out owning a live site and a kit that can rebuild it any time.
A free, self-paced workshop that gives a woman her own voice as an AI model she owns, on her own Mac, for nothing. Seven guided steps take her from a single clean minute of recording to a private voice model that reads anything she types, with the whole technical setup collapsed into one file she double-clicks, no code and nothing uploaded. It then presents the hosted alternative honestly, with a real consent and acceptable-use step and a bring-your-own-key rule, and it is built on a licence-first choice of engine so the voice is genuinely free to use in her own business. Built on the reusable Her Frontier course engine, running end to end.
Your actual birth sky, built from over a thousand real stars positioned exactly where they stood above your town at your minute, verified to under a degree, with a soul constellation drawn from a fingerprint of your birth data that exists for no one else. A slow scroll reads it back to you in five written chapters and ends with a share card you can keep. Free to explore, the full reading is paid.
Chat with an AI and watch it think, live, as it weighs and picks each word. Every word it says appears as a gold star sized by the exact probability it was chosen with, the words it weighed and set aside surface in turquoise, and its private reasoning drifts up as cream ghosts before the answer arrives. A strip below marks the moments the answer genuinely could have gone another way.
A whole business desk for a woman working solo: clients, invoices with totals and tax to the cent, time tracking with a live timer, and one-click proposals and contracts. It runs two ways from one build, a private copy on her own computer where nothing leaves the machine, or a hosted members' account where every woman's data is walled off by the database itself.
Keep one AI character looking like the same person across every tool, the thing most creators cannot get right. It opens by teaching the lock method, walks you through building your character with an AI coach on every field, then hands you a complete downloadable brand bible: the current recipe for each platform, a consistency checklist, a palette card and a month of content slots.
A three-page interactive explainer on the million dollar question quietly holding up banking, crypto and AI: the full story in plain language, an Attempt Simulator that replays fourteen genuine proof attempts with every mistake left in, and a Live Lab where a real solver computes in the visitor's browser at millions of moves per second, climbing until the exponential wall appears live on their own machine.
A local sandbox that shows what Instagram and TikTok actually reward in 2026, built on fresh research with every claim confidence-labeled. Set up a post, score your hook against a five-axis rubric with a live kill list, then watch 200 simulated runs climb each platform's test-audience ladder to a median outcome, a range, and a viral probability, with a clear diagnosis of what is capping the reach. Drop in a finished reel and an on-device pipeline grades it 0 to 99 across six weighted dimensions, from the hook window and dead air through loudness, pacing, CTAs, caption coverage and safe zones, with a fix attached to every flag. Runs entirely on-device and feeds winners back into a personal hooks log.
A market training room built as three doors. Replay real crashes week by week with play money, pausing mid-fall to ask hold, sell, or buy, then see what every choice became and how you actually behave under pressure. It also runs the Frontier Pressure Index, a weighted read of how hard the market is pushing you to act. Scenarios always, forecasts never.
Pick any day since Bitcoin began, enter what you bought, and see the truth about your timing on verified data, in both US and Australian dollars at the exchange rate of the day you bought. A directory of sixty-five exchanges helps you recall the closed and collapsed ones, and a cycle simulator maps the four-year waves as honest scenarios rather than forecasts. Works offline and installs as a phone app.
A complete social scheduling desk that runs on my own machine and replaces the monthly subscription: one calendar over fourteen channels, with real publishing proven end to end.
A workshop in a single page that helps a founder and her team define a brand voice for a personal brand, a business, or a startup. Instead of a blank page, every round hands you drafted options to react to, keep, cut, or commit with a final pick, then rolls your choices into a clean voice summary you can copy or print. Built for a room: add your team, work down the rounds together, and comment as you go. Self-contained, private, and offline, on the Her Frontier brand.
Eight small tools that turn a philosophy into something you can use. A calm frontier-news feed that names who a change helps and who it leaves behind, a decision tool that runs a choice through logic and soul side by side, one that sorts your own voice from the shoulds you were handed, one that decodes why people love a thing so you can build your own honest version, an audit that finds the thing you are here to make, a map of who your work touches across time, a plan to grow ground you own instead of renting your whole presence, and a weekly loop that keeps you choosing growth over comfort. Each is a single private page that keeps your work on your own machine.
A paid build-on-request pipeline. You bring a problem, it moves from request to prototype to test to pay. A transparent three-tier deal and a buyout valve fix the usual extraction risk.
An AI marketing lab, sold as a multi-tenant SaaS where governance is the differentiator. Runs fully local on a Supabase and Docker stack with tenant isolation proven by test.
A B2B lead engine where following the law is the product. It sources real prospects from official company registers, verifies their emails, grades each against the local market's law with the legislation cited, and drafts outreach across ten countries. It also ships the artifact the rest of the market does not sell: a compliance evidence pack listing every recipient's lawful basis, ready to hand to a lawyer.
A cycle-aware support app for women with ADHD. An opt-in, on-device cycle phase tailors the day's targets and tone, and live tips come from a local AI model so nothing sensitive leaves the machine. Her Frontier branded, installable as a PWA, and folded into the main site.
My own clean-room package scanner. Type the name of something you are about to install and get a Clear, Caution or Stop with the reasons explained simply. It weighs reputation, install scripts, risky code patterns, version-specific vulnerabilities and typosquats, with an optional VirusTotal layer.
A guided experience where each door is a self-contained session of focused inner work. Doors are data, so one template renders any of them, build once and stamp many. A hall of eleven life clusters opens onto the first deep doors, the entry layer of a larger Deepening.
Several self-paced courses on the course engine: build your own AI team of custom skills, use AI to clean and decide on your own data, a paid setup kit and build-along, and a 30-day crypto trading expedition that carries a complete beginner from zero to a tested, paper-only method with a worked example and a hands-on demonstration every day. Each ships with an AI coach and a downloadable workbook, and the trading expedition turns its eight keepable artifacts into that workbook.
Three single-purpose AI tools: a Brand Voice Machine, an Offer Architect, and an AI Tool Navigator. Shared zero-dependency Node base, the brand system, model auto-detection and a keyless demo mode. The Navigator now runs on a local model first, keeps a curated 37-tool knowledge base it answers strictly from so it cannot invent tools, and lets you save your own shortlist in the browser.
One private assistant with five task modes: documents, email, writing, study, and interview prep. It reads a PDF or image you drop in, keeps a history you can copy from, and runs entirely on your own machine through a local model, so nothing you paste ever leaves the Mac.
A living fluid desktop with eight physics moods and seven palettes, a liquid you can touch that answers back. Packaged three ways: a live wallpaper kit, a phone app, and native iOS and Android builds with a full store kit.
My bookmark and tab manager. A one-click Chrome extension that tames your tabs and harbours them safely. Coming to the Chrome Web Store.
A native iPhone app that turns a thirty-question personality quiz into a living mark: a hairline emblem rendered in real time with GPU shaders and sixteen thousand particles, breathing, answering touch and tilting with the light. Version two adds serverless compare codes that render two people's marks in one field, scenario simulators, a daily pulse that sets how the mark carries the day, deep lenses that grow new parts on the emblem, and a signature tone synthesized from the scores. Scanning a share card opens a live edge page that draws the sender's mark in the browser with no backend and no tracking. Everything on device, no data collected; App Store submission pending.
A complete personality product deployed to the edge: a free thirty-question quiz that draws a living signature and leads with a person's gifts plus a glimpse of her shadow, then a paid tier that deepens the core to sixty questions, maps the shadow with the work for it, and adds four research-grounded lenses. Claude writes each buyer a personal reading and a portable operating manual for her AI, and the signature itself evolves as she marks the work she is doing on herself. Share cards in two finishes, a portable self-file, honest science framing throughout, all pending psychology sign-off before launch claims.
A token-dense prompt notation language of my own, with a sigil grammar, a shared module registry and a linter that checks and scores density. Licensable IP that dogfoods across every other build.
A privacy-first note-taker that never keeps a recording. Audio is deleted immediately and no transcript is stored, only the work items and the minutes remain, and a local-model mode handles sensitive meetings, disclosed at the start.
A channel of short films, brand launch trailers and social reels made entirely in code, including generative score renderers (ambient drones through beat-grid pulse tracks) and on-device voiceover. The trailer line turns a locked brand guide into an on-palette video with synced sound that passes automated contrast and layout checks before render, and the reel factory turns a batch of scripts into a set of finished 9:16 reels whose clicks, tones and glow notes hit exactly on the animation beats. Engineered, not filmed.
A live command board that lets a small team run a whole venture from one shared screen. Five boards move every card through its own lifecycle with drag-and-drop on desktop and phone, alongside a prompt library, a brainstorm wall, attachments and a full activity trail, all syncing between people in real time with row-level security. It installs as a phone app and sends its own self-hosted web push alerts with no third-party service.
Two autonomous trading engines run as a disciplined lab. A crypto bot paper-trades Australian spot markets with a hard rule that nothing touches real money until the strategy clears its return gate, and a sports-exchange bot runs under the same paper-first covenant. Daily scheduled runs, automated backups, an operator manual and a CLI.
A full research membership platform for my dad, whose options recommendation business used to cost him ten hours of work a week and now takes about fifteen minutes. He makes the market calls; the platform does the grounded AI research, the member alerts, a weekly note that assembles itself from his published trades, and a public track record showing every win and loss. Still in build, the link is the working draft.
A founder story app for a friend's Bali eco-resort: a voice journal for the founder, a story tab, a guest tapestry that grows with every stay, and QR access. Installs as a phone app.
A boutique performance agency for my daughter: brand system, live marketing site and an automated enquiry pipeline. The whole stack runs on the business's own accounts under its own domain, built to be handed over whole.
A personality-quiz product ecosystem fronted by AI avatars: quiz to PDF reports to subscription to a book, built on a Big Five and archetype engine.
An AI crypto research-brief tool, my first public proof-of-build release. A five-category research prompt with a scout mode that finds tokens with active catalysts, generating structured HTML briefs.
A starter that abstracts the AI-research-plus-formatted-output pattern into a checklist-driven template, so a new client tool can be stood up fast from a proven base.
The repeatable machines. These are the workflows that connect everything: how a build becomes a product, how one idea becomes a month of content, how an audit catches what a spec missed.
The graduation film that proved the whole system. One request went into the operating layer and came back as a finished seven-minute film narrated in a locally cloned voice, on brand, privacy-checked frame by frame, with agents gathering the material, an orchestrator building the composition in code, and a self-review pass before it was called done. It now streams in full quality from the builds directory itself, repackaged into segments so a static host serves it free, with a companion page telling the story of how it was made.
A whole game studio folded into a skill: bring a theme and it designs, builds, verifies and packages a finished arcade game with the store copy and icon art alongside. Every game must pass an automated fairness bot before a human ever tests it, and the ethics are structural: currencies earned by play only, no loot boxes, no rigged near-misses.
A generative art-to-storefront pipeline that makes original art from code alone, so every piece is one of a kind and mine by design, then carries it all the way to a ready listing: print files at true gallery resolution, a framed mockup, a search-ready title and matching pins. Two engines run inside it, five locked abstract styles that mint whole collections hands-off, and a natal-chart engine that draws a one-of-a-kind astrology poster from a person's exact birth moment. A human yes sits before anything publishes.
Makes anything generative provably mine: a cryptographic fingerprint, a real signature from a private key, and a small astrolabe seal drawn from that fingerprint onto the work itself. The certificate carries the complete algorithm and the single command that recreates the piece exactly, forever, so the buyer owns the art and its genome.
A private on-device pipeline that turns a book I own into a searchable copy I can read: one clean frame per page, the text read by on-device OCR with nothing uploaded, rebuilt as a searchable PDF with a selectable text layer under every original page. Tested end to end on real books. An accessibility tool for reading large, listening along and finding a passage.
My core loop. Every build becomes a sanitised, sellable product with a clear licensing structure, so the work compounds. I build for my own brand first, then adapt a version that pays licensing back.
A go-to-market pipeline in one session: demand check, product decision, price ladder, storefront, email sequences, and a month of content.
A zero-cost demand scanner that reads live sources every few hours, distills hundreds of signals into a ranked shortlist of real problems worth solving, and turns an approved opportunity into a build brief. A private snapshot lets me review the shortlist from my phone while the engine stays on my own machine.
A content engine that takes one idea through a pipeline into many channels, with the assistant cutting and scheduling.
A migration pipeline that scrapes every page and data table of an old site into structured seed data, reads the audience from the content, keeps the brand DNA but re-executes it as a modern design system, then rebuilds on a current stack with the content seeded in. Run on three sites.
A multi-agent audit that reads running code against its own spec, fans out analysts across data model, dependencies, design and risk, then adversarially verifies every finding against the source. It catches where the document and the code disagree.
A fan-out research workflow where parallel agents each own one marketplace or source, then synthesise a ranked shortlist with evidence, pricing, saturation and a fit flag. For any what-is-trending, what-should-I-sell question.
The media line: HTML-video composition with captions, text-to-speech and audio-reactive visuals through to render, plus voice-memo ingest and reel teardown that download, transcribe and reverse-engineer a creator's structure.
An autonomous overnight workflow: scan installed packages, summarise with an AI pass, and surface only real danger through layered alerts, staying silent when clear. The machine guards itself while I sleep.
What it all runs on.
Zero-dependency Node and Python for tools, Next.js for apps, deploying to Cloudflare Workers and Supabase or Vercel. A repeatable local-first build pattern: private first, public second.
Claude Code as the automation spine, a custom skill and hook system on top, MCP servers wired in, and local models for anything sensitive.
A generation pipeline spanning image, video, voice and avatar models, with an HTML-video toolchain for code-made film and a logo and prompt workflow feeding it.
The principles that show up across every system above.
Sensitive work stays on-device. Privacy and ownership are the architecture, not a setting.
Knowledge, memory and identity live in plain files you can read, version and reason about.
Tools ship with as little surface area as possible. Less to break, less to trust.
Every build is designed to become a reusable product or skill, captured at the moment it is made.
The control layer, isolation, voice rules, self-review, is the feature, not the friction.
One accent, one job per screen, clean and contained. The same discipline in the code and the design.