When a search answer is good, nobody asks how it arrived. When it is wrong, slow, or suspiciously certain, that is the only question that matters.
A streaming answer may look fluent long before it is trustworthy. The search harness carries a question through bounded conversation context, grounding sources, enabled connectors, synthesis, and SSE telemetry. The research gap is deciding whether that trace is sufficient for a person to inspect the result.
Streaming makes a system feel alive. It does not make it accountable. The useful part is seeing which source was attempted, which connector failed, and whether the answer is narrowing because the evidence is weak.
An explanation should be a product artifact, not a dump of hidden reasoning. The goal is observable inputs, declared tools, source boundaries, and clear failure states.
A first answer can look fast because the system has no history. The hard case is a follow-up that changes intent, carries old context, and forces the system to decide what to keep and what to throw away.
Build an eval corpus where the second prompt changes the question rather than appending text, then compare trace completeness, answer faithfulness, and latency across retrieval strategies.
Read the source-backed research note before treating this essay as a product promise.
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