Why Astra
We don't use AI for every click. We use it when judgment is required.
Deterministic replay handles the parts of a workflow that are stable and repeatable — it is faster, cheaper and more predictable. GPT-6 Astra is reserved for the parts that deterministic automation genuinely cannot solve.
Understanding ambiguous SOP instructions
Real documentation says "go to settings and turn it on". A compiler has to infer the business intent behind that.
Navigating changed interfaces
When a menu disappears, the correct behaviour is not to retry the same click — it is to find where the capability moved.
Recovering from broken paths
Astra classifies the failure, proposes the safest next action, and stops at anything irreversible.
Reasoning about business outcomes
An independent verifier decides whether the intended result actually happened, using observable evidence.
Generating evidence-backed patches
The smallest accurate documentation change, in the author's own tone, only after verification passes.
Four layers, in order
- Replay — try the known validated path first, with no model call at all.
- Recover — if replay fails, Astra interprets the current interface and proposes a safe next action.
- Verify — an independent verifier confirms the business result actually occurred.
- Patch — only then is a documentation update generated, for human approval.