research at vericite

The work behind the citation chip.

VeriCite treats source quality, safe handoffs, and review history as product surfaces. The system is built so an institution can inspect why an answer appeared.

recent research notes

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whitepaperMar 2026

Cited answers, end-to-end: a reference architecture

VeriCite research

How source intake, answer rules, citations, handoffs, and review events fit into one inspectable product flow.

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benchmarkFeb 2026

Evaluating answers backed by policy

VeriCite evaluation notes

A practical pattern for checking whether an answer cites the right source, handles uncertainty well, and avoids unsupported claims.

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taxonomyJan 2026

When the product should say I don't know

VeriCite product and engineering

A product taxonomy for missing sources, access limits, low confidence, conflicting sources, and sensitive records.

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postmortemDec 2025

What breaks when source ownership is unclear

VeriCite field notes

A deployment note on why source ownership, escalation routing, and answer review should be designed before broad rollout.

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benchmark posture

The metrics we inspect before a release ships.

Citation quality, fallback behavior, and unsupported-answer risk need to be reviewed together. A model that answers everything is not the goal.

SystemCitation-correctFallback behaviorUnsupported-answer risk
VeriCite trusted-answer flowsource reviewednamed handoffcontrolled by answer rules
Generic AI assistantoften a postscriptprompt-dependentrequires manual review
Search-only support surfacesource visibleno answer synthesisnot applicable
Unscoped chatbotunsupportedrarehigh operational risk
Source review workflow artwork with answer, owner, and review event.

answer-quality review

Every deployment deserves a named review loop.

The highest-value work happens after the first source set is live: replaying misses, naming fallback reasons, and deciding which source owner should close each policy gap.

meet the founders

the bulletin

One useful answer-quality note, every few weeks.

No generic AI commentary. Just source-quality findings, fallback notes, benchmark refreshes, and postmortems when something does not work.

Email for the bulletin

a 30-minute walkthrough

Bring a source set and inspect the evidence.

A walkthrough can focus on the questions your stakeholders already ask: which sources were used, why they were trusted, and when the product should route to a person.