AI agents will act, spend, remember, and hire on behalf of people and teams. Elo Evolution makes delegated actions identity-bound, authority-bound, proof-backed, revocable, and scored by outcomes. Trust discipline lives in the substrate — not in a prompt you hope the agent obeys.
Agents plan confidently, then accrue delegation debt:
"The build is red" — it was fixed yesterday. Memory doesn't decay, so old facts drive new plans.
"Billing blocks merges" — it never did. Assumptions get treated like permission with no evidence.
Two teams build the same migration. Convergence is discovered late, after the work is split.
Today every team fights this with prompt-coaching ("please verify first", "do not spend without approval", "remember the latest state"). Prompt discipline degrades. Infrastructure discipline compounds.
Every delegated action is enforced as schema — not offered as a suggestion:
| Every action is… | …enforced in the substrate |
|---|---|
| identity-bound | principal | agent actor | tool identity |
| authority-bound | scope | budget | expiry | approvals | forbidden actions |
| evidence-backed | receipts required; self-report is not enough |
| revocable | authority has a removal path before and during execution |
| scored | verified outcomes update reputation |
| Planning claim | Type (model) | Outcome (reality) | latency |
|---|
Type tags are produced by a frozen blueprint run as a deterministic typed function (JSON mode, temperature 0). The outcome column is what this week's corrections actually established — the system catches its own stale assumptions.
Assumed claims are the risk surface. The KPI that should fall each cycle: assumptions that survive to become blockers without evidence.
Every resolved prediction is training signal nobody else has. More usage → more outcomes → sharper calibration → safer delegation. A longitudinal ledger of delegated action vs reality is the moat. A prompt can't clone it.
A longitudinal record of delegated actions, agent predictions, and reality. Compounds with use; uncloneable by a prompt.
Runs on local models. Planning data and the track record never leave the machine. Privacy-native, enterprise-ready. Shown live here.
An agent loses standing only when it breaks its contract — never when the world (an outage, an OOM) fails it. That fairness makes the rating trustworthy.
Authority, budget, proof, and revocation become schema and fixtures.
One mission runs through Agentic OS dispatch with tools, workspace, memory, policy, and receipts.
The principal sees who acted, why, cost, proof, risk, revocation, and reputation change.