Answers are a starting point.

Ask what supports the claim.

Follow the source.

Keep component boundaries visible.

WDBX has CPU primitives: dot products, norms, cosine and top-k.

Accelerator capability states separate availability, initialization, execution and runtime verification.

The durable store integrates snapshots, write-ahead recovery and HNSW search.

WAL frames checksum JSON bytes. Bad checksums report corruption.

Recovery treats an incomplete final frame differently from a bad checksum.

Store-facing completion persistence belongs to MCP, outside the pure AI core.

Three persona profiles.

Abbey.

Aviva.

Abi.

The local router adjusts weights using keyword prefixes, then selects a profile.

An explicit leading persona address bypasses that scoring path.

Abbey combines conversation and technical care. Aviva leads directly. ABI handles orchestration.

The training path records metadata and profile vectors; model weights remain unchanged.

Inspect the integrity boundary.

A block hash includes its predecessor, timestamp, sequence, profile and metadata.

That SHA-256 construction is a hash chain, not a digital signature.

Strict checks recompute hashes; link-only checks do not.

ABI’s audit matches thirteen case-insensitive patterns and scores six principles.

Responses avoiding those phrases can escape its checks.

Source inspection establishes what is implemented, with runtime qualification still separate.

Ask for the test, the environment, and the precise scope behind a result.

Broader reasoning is a research direction.

Keep the roadmap visible.

Our vision is a distributed cognitive fabric.

That vision does not establish support across every device or hardware tier.

Compatibility needs execution evidence on each intended path.

A proposed direction becomes an engineering task when its acceptance evidence is defined.

For a project, define the workload, data boundary, failure behavior and review process before promising delivery.

Start with a bounded question. Name the source, inspect the implementation, and agree how the result will be checked.

These equations illustrate concepts. They do not establish a benchmark, semantic truth or a deployment guarantee.

Use the illustration to frame questions: which inputs matter, which assumptions hold, and what evidence would change the decision?

Bring a scoped project.

Let’s review the evidence together.