Compile professional language
Interpret new document structures, identify candidate obligations, cite the relevant language, and emit a restricted typed program without executing money or external action.
GPT-5.6 compiles unfamiliar grant language into a typed obligation proposal. GrantBack resolves authority, verifies exact source spans, reproduces the Decimal calculation, and stops stale actions before they leave the system.
NO LOGIN · SYNTHETIC EVIDENCE · ACCOUNTANT-CONTROLLED
Unfamiliar agreement language becomes a bounded typed proposal.
Controlling path, exact quote, locator, and hashes must agree.
The engine rebuilds every operand and calculation trace.
A changed root cannot reuse amount, package, approval, or action.
Fixed rules cannot anticipate every agreement, amendment, or closeout clause. GPT-5.6 handles the unfamiliar semantic layer. Its authority ends at a restricted proposal that deterministic software must prove.
Interpret new document structures, identify candidate obligations, cite the relevant language, and emit a restricted typed program without executing money or external action.
Resolve the controlling source, verify every cited span, execute exact Decimal arithmetic, create the candidate package, and fail closed when any binding changes.
The result stays continuously bound to evidence, calculation, package identity, human approval, and the exact action that may follow.
The model proposes typed arithmetic but does not execute it. The proposal contains no arbitrary code or financial authority.
Agreement and amendment precedence is resolved before any financial claim can execute.
Document identity, typed locator, exact quote, quote hash, and parser revision travel with each operand.
Server-owned arithmetic reconstructs every input, intermediate step, rounding decision, and result.
Source root, program, amount, recipient, body, attachments, actor, nonce, and expiry form one reservation.
A new source root blocks the changed amount, candidate package, approval reservation, and outbound action.
ChatGPT turns the workflow into a natural-language accounting review. Codex turns the same MCP result into a repository-level audit and implementation path.
Attach GrantBack in a conversation and run the review inside an OpenAI Apps SDK widget.
A repository-aware agent can move from the visible result to the exact implementation, tests, and release.
The public case uses deidentified synthetic evidence and requires no login.