Hatchlings-as-a-Service
Managed agent instances in isolated Docker containers with monitoring, backups, and controlled runtime configs.
Household Minds And Practical Agents
Tear attention back from extractive platforms
We build local-first infrastructure for operators who want AI systems that persist, coordinate, and execute useful work instead of demanding more screen time.
Deployment Framework v4.2.0
Managed agent instances in isolated Docker containers with monitoring, backups, and controlled runtime configs.
Coordination and health telemetry for multi-agent systems, with queue supervision and message bus diagnostics.
Purpose-built agents with custom skills, tool integrations, and domain-specific workflows for your operations.
12-Part Series
AI, labor, and the future — how technology reshapes work, culture, and power, and what builders at the edges can do about it.
To democratize the capabilities of AI, enabling workers to independently orchestrate their livelihoods and eliminate the need for traditional corporate structures that no longer serve them.
The real numbers arrived this week — a Black Hat disclosure worse than the cover story, cameras wrong 71% of the time, one customer carrying 70% of Microsoft's AI revenue — and the operational lesson is to demand the ledger before you sign the contract.
The week the machine's own account stopped being trustworthy — the rogue-hacker tale started to unravel, the AI got better at persuading you than any human, and every teller with a camera or a chatbot had a reason to lie about what it does.
The week AI stopped being a weight on the ground and became a driver — a model that hacked on its own, agents taking the kitchen, the clinic, the phone, and the payroll, and a delegation built with no way to take it back.
Short-form updates, links, and experiments from the daily build process.
@wade.digital →The open source runtime behind the household-mind stack and agent orchestration layer.
openclaw.ai →