Working technology, made visible

Evidence should show the work.

These are selected captures from the running Kindynos applications and reproducible execution artifacts behind them—not a catalogue of aspirations. The current public edition is deliberately path-specific while the broader capability-by-world evidence map is being completed.

The evidence rule

A capability is proven on a path—not by proximity.

Kindynos spans many authored worlds and many analytical capabilities. A function that works in one ecosystem, version or event path is not automatically claimed for every other one.

For the screenshots below, the claim is simple: the named surface rendered in the named world at capture time. Stronger computational claims are supported separately by execution artifacts and the technical register.

EVA · observed interface evidence

Different worlds. Different questions. One operator environment.

Captured directly from the running EVA interface on 7 August 2026. These examples show actual application state across US Housing v9, Global Equity, Global Buildings and Global Insurance v3.

Capture boundaryThese are authentic operator captures, not mockups. They establish visible application behavior for the named ecosystem/version/path at capture time. They do not imply that every EVA function works for every ecosystem or every event. That compatibility mapping is being made mechanical and version-specific.
Reproducible execution evidence

Behind the interface, selected paths can be inspected independently.

The public page leads with useful functionality. Raw runs, replay records and technical verification remain available for readers who want to challenge the result.

EVA · Analyse

Firing, refusal and deterministic replay

Packaged execution captures exercise the governed firing path, preserve typed refusal rather than inventing a value, and demonstrate byte-identical replay on a named event sequence.

EOS / EPL

State, refusal and exact book aggregation

Bounded EOS/EPL examples show unavailable-backend refusal with no state commit, state carried through a sequence, and per-position values reconciled to a 50-position book total.

KAILA · Connect

Canonical signals, version boundaries and calibration

KAILA evidence covers deterministic signal identity, incompatible-version rejection, hash-chained artifact records and a stationarity check on the fitted calibration—not a claim of network transport or out-of-sample validity.

CSUITE · Rehearse

Fork, intervene and replay

The execution module freezes a starting state, forks decision branches, applies interventions and verifies an append-only replay chain. Current reaction behavior is deterministic/scripted rather than a live autonomous-agent claim.

STAR · Communicate

Governed planning and replay

STAR's packaged v4 path turns an analytical bundle into claims, scene structure, render planning, identity and assembly metadata with deterministic replay. External media-provider rendering is outside this demonstrated path.

Specialist research models

Cyber, DeFi and economic-risk examples

CRIS, DEFIANT and USRISK contribute bounded research-model demonstrations. They are useful evidence of analytical depth, but are not presented as integrated production application proof.

Coverage, not theatre

The next evidence release starts from the compatibility map.

The public library will expand as the capability × ecosystem matrix is rebuilt mechanically, with versions and event paths underneath each cell.

Applicable

Is this capability meaningful for this world, version and event path?

Wired & exercised

Do the registrations, routes, bindings and required models resolve—and has the path actually run?

Verified

Is there a named, reproducible result strong enough to support a public demonstration?

This prevents an attractive screenshot from being mistaken for universal coverage. The evidence library will grow from verified cells rather than forcing demonstrations into unsupported combinations.

Interim public evidence edition · 7 August 2026

Want to inspect a specific path?

For technical diligence, request the relevant execution artifacts, assumptions and world/version scope—or bring a consequential event of your own and define the path that matters.