ACCELERANDO // AI
Autonomous systems studio · est. 2026

AI systems for studios that run themselves. We design and ship the agent infrastructure: shared memory, review-gated dispatch, on-device inference, and a fleet that works while you sleep.

70+ autonomous agents 6 coordinated runtimes $0 background LLM spend on-device MLX tier
Selected systems

Infrastructure that turns a studio into an autonomous operation.

01
Studio Operating System
an agency that runs itself

A ticket-driven platform where work flows from intake to delivery without manual handoff: agents claim tickets, work in isolated git worktrees, pass a code-review gate, and ship behind hard payment and approval gates, with every decision logged.

multi-agentLinear · gitaudit trail
02
Cross-Runtime Context Bus
six runtimes, one memory

A digester that reads the session stores of Claude Code, Codex, Kimi, OpenClaw, Hermes, and Paperclip, distills decisions and outcomes, and serves a shared journal so any agent resumes the others' context instead of starting cold.

PythonSQLite · FTS5Haiku distill
03
Dispatch Mesh
work, with checks and balances

A file-based task mailbox layered on the bus: atomic claim enforces one owner per task, a different-model reviewer gate is enforced in code, and a routing policy sends each task to the cheapest capable model and escalates on failure.

maildirreview gatetoken routing
04
70+ Agent Fleet
the studio, working overnight

A scheduled fleet across creative, operations, research, finance, and distribution, with hourly health scoring, self-healing restarts, and integration checks. Strategic and predictive agents propose reallocations before things break.

launchdself-healingSentry
05
On-Device MLX Tier
free, offline, low-latency

A quantized coder model served on Apple Silicon via MLX behind an OpenAI-compatible endpoint, wired in as the Tier-0 backend so routine and offline agent work costs nothing and never leaves the machine.

Apple MLXQwen2.5-CoderOpenAI API
06
Creative Automation Pipeline
brief to branded reel

An end-to-end generative pipeline: real-brand intake, multi-model concepting, and deterministic reel synthesis through HTML to Playwright frame capture to ffmpeg, producing on-brand vertical social video at scale.

Playwrightffmpegmulti-model
07
Subscription Cost Routing
autonomy at near-zero spend

Background agents run on Claude subscriptions rather than per-call API keys, while specialist tasks route to their optimal model and tier. The result: continuous autonomous operation with effectively zero recurring LLM cost.

model routing1Passwordbudgeting
08
Agent Control Plane
org chart for machines

A governance layer that arms agents with roles, budgets, and heartbeat routines, with kill-switches that pause everything if limits are hit. The company layer that turns a pile of scripts into a coordinated, accountable operation.

Paperclipbudgetsgovernance
Capabilities

What we actually build.

Orchestration

Multi-agent coordination, cross-runtime memory, task dispatch with reviewer gates, scheduled autonomous fleets.

LLM Engineering

Claude, GPT/Codex, Kimi. Multi-model routing, tool-use design, MCP integration and custom servers.

Local Inference

Apple MLX on-device serving, OpenAI-compatible endpoints, offline-first fallbacks.

Automation

launchd scheduling, self-healing ops, integration health across 16+ connectors.

Creative Systems

Generative pipelines, deterministic reel synthesis, brand-aware design automation.

Ship

Python, Node, Fly.io, Docker, Playwright, ffmpeg, Linear/Airtable/Square APIs.

Let's make it run itself.
eric@plantsandchairs.com