Blog
Notes on agent-native qualitative research.
Practical writing for researchers evaluating AI-assisted coding, evidence review, and open-source research infrastructure.
For a workflow-level comparison outside the blog archive, read Traditional QDA workflow vs OpenVerbatim. For methods and comparison guides, see how to code interview transcripts, how to do thematic analysis, qualitative coding examples, free qualitative coding software for students, NVivo pricing explained, and best open-source qualitative data analysis software.
What does 'agent-native' mean for qualitative research?
Agent-native qualitative research treats AI as a structured participant in the evidence workflow, not as a generic assistant bolted onto a QDA tool.
ArticleRunning your first AI-assisted coding pass on interview audio
A practical tutorial for moving from interview audio to reviewed coding suggestions with OpenVerbatim's evidence-first workflow.
ArticleHow we keep AI honest in qualitative coding: grounding, provenance, and the suggested/confirmed state machine
A practical look at how OpenVerbatim separates AI suggestions from reviewed evidence through grounding checks, provenance, and explicit states.