ABLE

4 in 5 requests handled at $0 inference cost.

THE BRIEF

Routine requests take the least expensive capable path. Harder work escalates through five model tiers, with trust checks and an observable decision trail.

ABLE is a trust-gated operating layer for AI agents. Five-tier model routing, self-tuning complexity scoring, agent swarms, hybrid memory, and full observability.

The case is not “more AI.” It is disciplined autonomy: cheaper routine work, stronger escalation, visible reasoning paths, and controls that make capable agents safe enough to actually deploy.

ON THE RECORD

PORTFOLIO SNAPSHOT / JUL 2026

Figures and source references supplied with this portfolio. Scope and limitations accompany each result.

Autonomous resolution

4 in 5

requests handled at $0 inference cost

Source & basis

Reported measurement · ABLE routing telemetry

Model routing

5 tiers

complexity-scored, trust-gated escalation

Source & basis

Reported measurement · ABLE operating layer

Routing selectivity

333×

the model sees one three-hundredth of the corpus

Source & basis

Reported measurement · routing selectivity card, 2026-06-11

Where requests resolve

Five-tier routing · trust-gated escalation

4 in 5Resolved on a free tier · $0 inference

1 in 5Escalated, with the reason visible

Cheaper routine work is the visible outcome. The one that matters more is the second column: when a request does escalate, the path it took is on the record.

Agentic AIModel routingOpenTelemetryFastAPI