N17Q replaced a polished but irreproducible live demonstration with a deterministic scenario that exposed delayed state, lost receipts, policy denial, and final-claim errors without depending on a cooperative service.
Blog, page 2
As agent platforms added shells, persistent containers, skills, and compaction, N17Q moved portability above the model call and defined one harness contract for state, tools, policy, effects, and evidence.
N17Q treated model handoff as a state transition, preserving exact workspace, evidence, authority, budgets, and unresolved effects while letting a different model continue without inheriting fictional continuity.
N17Q began evaluating what agents do after a capability is refused, revealing whether they narrow scope, seek evidence, stop well, or merely search for another route to the same effect.
N17Q redesigned approval around consequence, uncertainty, reversibility, and recovery so a reviewer could consent to what might happen after failure—not merely to the happy path.
N17Q stopped asking a second model for an unsupported verdict and built compact evidence packages, citation checks, calibrated uncertainty, and human-readable disagreement into qualitative evaluation.
N17Q separated qualitative grading from deterministic safety checks so a persuasive result could never average away an unauthorized effect, missing approval, or false completion claim.
N17Q separated wall, monotonic, and logical time so agent traces could explain ordering, duration, expiry, replay, and distributed delay without making one timestamp carry every meaning.
N17Q captured an isolated workspace before and after agent execution, turning an opaque command history into a bounded artifact a person could actually inspect and approve.
N17Q separated historical reconstruction from live execution so a replay could reproduce decisions, tool results, and failures without repeating an external delivery.
N17Q distinguished the agent’s request, local intent, transport attempt, provider reference, and observed world change so recovery could proceed without duplicating consequence.
N17Q inserted parsing, normalization, policy, approval, effect identity, and receipts between model output and consequence, making tool use a state machine instead of a direct function call.
N17Q resumed from semantic checkpoints and artifacts across processes and models instead of treating an ever-growing provider conversation as the workflow database.
Repository instructions improved agent behavior, but N17Q kept filesystem, command, network, approval, and effect controls outside text the workspace could influence.
N17Q loaded specialized instructions, tools, references, and checks only when a task earned them, preserving context and authority boundaries around reusable expertise.
N17Q treated files, local changes, instructions, tools, environment, policy, and prior effects as active agent context rather than an invisible container around a text request.