I help operators, executives, and sales professionals build AI that remembers their business — using the ACMI framework (Profile / Signals / Timeline) so nothing falls through the cracks.
"If it requires manual button clicks, it is an operational liability."
— Execution PhilosophyI don't build playground prototypes. I build production-grade automation systems designed for speed, scale, and operational reliability.
My engineering process is structured in three movements. We Architect the data flow and agent schemas; we Build using Next.js 16, Supabase, and Upstash Redis; and we Operate the pipelines on automated cron loops backed by ACMI.
Modeling data schemas, agent behaviors, and state-locked generation references before writing code.
Shipping TypeScript codebases with Supabase Postgres and Redis caching for sub-10ms response times.
Running pipelines on automated loops via launchd, monitored with real-time ACMI event logs.
Mikey Shaw operates as a dedicated high-agency engineering studio. We limit active client slots to maintain absolute quality and focus on shipped systems.
Active development on creator media automation pipeline
Accepting inbound for custom autonomous agentic fleets
Accepting inbound for enterprise Voice AI systems
Mikey Shaw's production-grade systems modeled in their own protocol. Every project exposes its stable **Profile**, live telemetry **Signals**, and chronological **Timeline**.
An end-to-end autonomous character recovery and content generation system. Mikey built a sync bridge to query production Upstash Redis, extract locked safetensors LoRA weights from Whop integrations, and run RunPod InfiniteTalk lip-sync generations. Featured here is her latest production episode: EP251 — The Forest Speaks.
{
"entity": "folanas-journal",
"path": "dyad-apps/folanas-journal",
"protocol_client": "folanas-journal/lib/acmi-client.ts",
"music_manifest": "folanas-journal/lib/music-manifest.ts",
"scheduler": "launchd cron daemon (ensure_daily_video)",
"stack": [
"Next.js 16",
"Deepgram TTS",
"MiniMax MMX",
"Upstash Redis",
"Fal.ai"
]
} {
"active_episode": "EP251: The Forest Speaks",
"bpm": 70,
"key": "D Major",
"genre": "Indie Folk / Ambient",
"vocal_synth": "FolanaLanezLocked",
"bus_publish": "Atomic events pushed to http://localhost:7780/emit"
} 
MiniMax-M2.6 Audio + RunPod InfiniteTalk (Landscape Video)
A complete production infrastructure overhaul. Shifter to Next.js 16, React 19, and Supabase PostgreSQL. Integrated Upstash Redis TTL caches to reduce data resolving latency to sub-10ms, replacing legacy Airtable dependencies.
{
"entity": "Mad-EZ-Website-V2",
"path": "/Volumes/1TB/Mad-EZ-Website-V2",
"postgres_schema": "types/supabase.ts",
"site_configuration": "next.config.ts",
"layout_root": "app/layout.tsx",
"stack": [
"Next.js 16.1.0",
"React 19.1",
"Supabase PostgreSQL",
"Redis"
]
} {
"compile_speed": "3-5s Turbopack server startup (previously 40s)",
"db_cache": "Redis TTL (1-hour expiration cache hits: 99.2%)",
"migration_check": "DEPLOYMENT_READY.md integration metrics verified",
"latency": "Cached onboarding endpoints resolving in under 10ms"
} 
A high-end promotional application for the "Top of New York" TV series. Built with React 19, Vite, and Framer Motion. Features a dynamic CDN media asset system that handles automated placeholder mappings, parallax scroll layouts, and gold-noir aesthetics.
{
"entity": "top-of-new-york",
"path": "dyad-apps/t.o.n.y.---top-of-new-york",
"core_config": "vite.config.ts",
"media_builder": "lib/media/utils.ts",
"animation_presets": "utils/animations.ts",
"stack": [
"React 19",
"Vite",
"TypeScript",
"Framer Motion",
"Tailwind CSS"
]
} {
"theme": "Gold & Deep Black",
"media_asset_system": "Dev Placeholders / Prod CDN auto-switch",
"animation_engine": "Framer Motion scroll-parallax",
"status": "Production Ready"
} 
Integrating Fal.ai, RunPod InfiniteTalk, and Deepgram voice models to generate consistent talking-head content on autopilot.
Deploying the ACMI memory bus protocol to provide agents with Profile, Signals, and Timeline persistence slots.
Upgrading legacy database layers to Supabase PostgreSQL, implementing Redis TTL cache routing for <10ms responses.
Building geo-targeted crawlers (Places/Yelp) that calculate API costs, analyze tech gaps, and qualify prospects.
An interactive representation of Mikey's tech stack. Drag nodes to inspect physical relations; hover or click to query file paths, metrics, and live deployment details.
Select, hover, or drag any node on the synaptic canvas to activate the telemetry scanner. This panel will pull direct data from local codebases, Supabase schemas, and Redis caches.
Live system activity, codebase statistics, and recent commit volumes across our core repositories.
High-end B2B autonomous systems deployment, strategic AI coaching for executives, and direct Whop developer suite access.
Autonomous multi-agent systems built to handle production-scale digital operations, state management, and media generation pipelines with zero manual clicks.
Direct 1-on-1 strategic advisory and workflow engineering for business leaders. We audit your operations, build custom low-code tools, and upskill your team.
Dedicated automated media synthesis engine. Integrates Fal.ai image generators, RunPod InfiniteTalk lip-sync videos, and Deepgram voice synthesis.
Self-operate Mikey Shaw's agent blueprints, join the live workspace, or get high-priority engineering swarm access.
Access entry-level code crawlers, simple automation scripts, and foundational ACMI bus schema files.
Unlock premium AI creator tools, the EZ-360 visual canvas, and advanced local pipeline templates.
Priority assistance, active debugging slots, and full swarm orchestration templates for complex workflows.
Real-world AI systems architecture, protocols, and automation engineering logs
A deep dive into our custom ACMI (Agentic Context Memory Interface) v1.2 atomic memory bus, synchronizing state, profiles, and event timelines across independent AI agent fleets.
Read DispatchFor six months, our agent swarm coordination was a disaster. Here is why Postgres, Notion, and graph frameworks failed for multi-agent shared memory, and how Redis Sorted Sets solved it.
Read DispatchArtificial intelligence in data analytics is not just a fleeting trend; it's an evolution in how we interpret and utilize data, paving the way for corporate growth and innovation.
Read DispatchStreamline marketing and save time by linking ChatGPT prompts with Zapier webhooks to build automated content publication and feedback loops.
Read DispatchSchedule, Collaborate, Innovate