The models will keep getting better. What matters is the harness — the infrastructure that makes them useful. Think of it like this: a language model is a brain, but a brain without hands, eyes, or a voice can’t do anything for you. The harness is the agents, voice pipelines, memory systems, and APIs that give AI the ability to actually operate inside your business. We’re model-agnostic — the best model for the job gets the job. Everything below is running in production right now.
Construction operating system. AI vision + research pipeline, agent-agnostic CRM API, guided lead conversion.
See it live →Voice-first AI agent. 21 CRM tools, 3-tier memory, real-time WebRTC voice. Multi-tenant, cloneable.
See it live →Care coordination. Circles, tasks, digests, ID verification, agent API. Free, bilingual, live.
See it live →AI recovery companion. Voice-enabled, own memory, reads/writes real recovery data. 10 modalities.
See it live →24/7 autonomous AI. Voice commands via Telegram, codes with Claude Code, manages wikis, runs the PPA mobilization agent, monitors its own costs.
Serverless content pipeline. AI colorization, captions, multi-platform posting. Zero human touch.
See it live →Python, JavaScript/TypeScript, C#, SQL, Bash
Next.js 14, React, FastAPI, Node.js, Tailwind, Unity, Telegram Bot API, boto3
Model-agnostic. Claude (Sonnet, Haiku, Opus, Code), GPT-4o, GPT Vision, xAI Grok, Perplexity, Deepgram, Cartesia, ElevenLabs, Pipecat
EC2, Lightsail, Lambda, S3, DynamoDB, SES, CloudWatch, Amplify
Docker, Nginx, PM2, systemd, SSL, Fail2Ban, zero-downtime deploys
Supabase (PostgreSQL + RLS), DynamoDB, Redis, Clerk, Persona, Nostr