01
One sandbox lifecycle
Spin up fast, persist installs, and keep recurring jobs alive even when compute recycles.
02
One rollout path
Version creator changes, preserve user state, and apply updates into sandboxes without clobbering local work.
03
One control layer
Meter users, enforce cutoffs, and broker secrets plus auth in the same operational system.
Why this is hard
A single OpenClaw demo is easy to love. A customer-facing OpenClaw deployment platform is where the infrastructure work shows up: sandbox lifecycle, persisted installs, user-owned file state, version rollout, model-cost attribution, spend cutoffs, and secret plus auth flows that have nothing to do with the prompt itself.
Lifecycle control
Lodestone spins up the right sandbox for each user with the right packages, workspace, and scheduled work already connected, so launches stay fast and setup stays minimal.
Controlled rollout
Keep each user sandbox current while preserving the files and local state inside it. Lodestone gives your team a clear release path for updates, so improvements roll out cleanly without overwriting user work.
creator change
prompt.md + parser.ts
draft saved
snapshot
release/v14
snapshotted v14
apply
target sandboxes
idle
User sandboxes
Usage controls
Lodestone ties model usage, spend limits and runtime credentials to the right user sandbox so teams can show what was used, control costs as they happen and give each OpenClaw instance only the access it needs.
Runtime access
Lodestone makes Mac runtime and home-network access part of the product, so teams can support harder workflows without building a separate stack.
Lodestone broker
mac mini
OpenClaw runtime
The bot is only part of the job. Once customers are involved, you need separation, usage controls, runtime access, and rollout paths that keep the product usable without turning every launch into custom infrastructure work.
Keep each customer's usage, data, and access rules cleanly separated across environments.
Give users a real product surface with the right sandbox, context, and controls already in place.
Bring Mac runtime and home-network access into the same platform when a workflow needs more than standard compute.
Turn one working launch path into a repeatable system your team can use again and again.
These questions cover the customer-facing system around OpenClaw: access, rollout, spend, secrets, and the Lodestone layer required to deploy it cleanly.
Because a bot demo and a customer product are different jobs. Once real users show up, you need access control, customer separation, secret handling, usage limits, rollout control, and a product surface people can actually log into and trust. OpenClaw can power the bot. Lodestone is the layer that makes it customer-deployable.
If your team already has OpenClaw logic working, the next conversation should be about sandbox persistence, version rollout, per-user metering, spend cutoffs, scoped secret injection, and what it takes to support real customers without turning the infra layer into a second company.
Infra review request
Open the intake form to share your deployment context, current blockers, and what kind of conversation would be useful.
