Built with a healthcare skill.
The skill version, settings and manifest supply the expected change. Gates 1–3 verify its source, named contributors and actual inventory, reconciling the build with what is observed in the org.
Forcia’s deterministic harness checks finished Salesforce configuration, whoever authored it. One review record follows the change from its source to a human release.
The skill version, settings and manifest supply the expected change. Gates 1–3 verify its source, named contributors and actual inventory, reconciling the build with what is observed in the org.
Your admin, a contractor or another AI can bring the change. Gates 1–3 begin with org inspection to establish its source, contributors and inventory, then reconcile what was claimed with what is there.
Both continue through gates 4–8: assumptions, activation, target differences, the before-state and target-specific checks. The settings used to build a feature do not replace this review of the finished configuration.
The harness is designed for repeatable findings: the same change, recorded org state and check versions give the same findings. Missing evidence stays unresolved.
The same eight-gate method applies to configuration built with a healthcare skill and to work authored elsewhere. Check the actual org, make exceptions visible, and give the human release owner evidence to act on.
Open a gate to see the question, the check, and the evidence it asks for.
This illustrative review record shows how a change’s claimed scope, source and target evidence, and unresolved questions can be kept together. The healthcare skill example shows one way a build can begin; its output still needs an independent review through Forcia.
The person reviewing it can approve, request more work or stop. Connected evidence tooling and automated checks are in development; the delivery method is used through Aegentra engagements.
Your choices, the build and its checks, together.
A person reviews and releases it.
Changes from your team, a contractor, or another AI-assisted author follow the same review method. The prepared design and the surrounding changes still need org-specific checks.
Production deployment is a human act. The product is designed around scoped agent capabilities and explicit human release authority.
Missing evidence, untested behavior, and exceptions remain visible. They belong in the decision, not under a green checkmark.