Learn/Autonomy and Autoplay
Learn/Autonomy and Autoplay
roi-and-evaluation.md.
## Human responsibility
People remain responsible for deciding what should be built, resolving ambiguous requirements, assessing tradeoffs, and determining whether results are acceptable — including scope, sensitive data, security expectations, and release readiness.
## How to discuss “fully autonomous” / “aren’t all tools autonomous?”
Prefer: “Sphere continues through connected planning, implementation, and verification with less repeated prompting — anchored in a living system model.”
Prefer when comparing: “Harnesses are strong at writing code; Sphere is strong at delivering a checked change and remembering it.”
Do not say: never needs people, always makes the right decision, runs forever, can access everything, automatically deploys any change, or “other tools are not autonomous.”
If asked about continuous operation: Autoplay supports continuous progression; actual operation depends on resources, access, external services, and decisions. Do not offer a 24/7 SLA.
## Verification and drift
Verification asks whether the result meets the expectations being checked. Drift is divergence between intended direction and what is being built. Sphere connects these concerns to the delivery workflow — it does not claim to detect all drift or prove complete correctness.