EXANTE product owner Nastya has shared a detailed account of how integrating AI tools into her daily workflow has fundamentally restructured the pace and quality of product development, cutting feature release timelines from six to eight weeks down to three to four.
Writing on behalf of EXANTE, Nastya traces her journey from junior QA to product owner and outlines precisely where AI adds genuine value and where human judgement remains non-negotiable. The core insight is deceptively simple: AI excels at turning a blank page into a draft. Not a finished answer, but a starting point and that distinction shapes everything about how she uses it.
In the discovery phase, competitor analysis that once consumed a full week of browser tabs, PDFs and manual note-taking now takes a single day. Using structured prompts, Nastya generates comparative matrices across multiple competitors in one pass, then manually verifies every source. The same discipline applies to user interviews. Recordings are transcribed, then fed into AI with a prompt template that extracts pain points, verbatim quotes, workarounds and user segments into a structured table. Once ten to fifteen interviews accumulate, those tables are uploaded together for cross-interview frequency and clustering analysis, producing a weighted list of themes that feeds directly into backlog prioritisation.
EXANTE’s cross-platform product requirements present another area where AI delivers measurable efficiency gains. Rather than producing three separate specification iterations for desktop, web and mobile, Nastya now describes the core feature logic once and uses AI to expand it into platform-specific versions that account for keyboard shortcuts, touch gestures and screen-width constraints. The result is built-in consistency across interfaces from the documentation stage onwards, something that previously required multiple sign-off cycles and still produced behavioural inconsistencies.
Perhaps the most striking development is Nastya’s involvement in delivery itself. Using Claude Code, she now handles small, isolated tasks by writing code, building locally, testing the result, iterating on bugs, and opening merge requests that pass through the standard code review and QA pipeline. This does not make her a developer, she is clear about that, but it clears low-priority backlog items that would otherwise wait weeks and has deepened her understanding of the product’s underlying architecture.
Where AI is explicitly excluded is equally telling. Final priority decisions, regulatory fact-checking, live user conversations and architectural integrity all remain firmly in human hands. EXANTE’s approach is not about replacing judgement but about reclaiming the time previously lost to blank pages, first drafts, transcriptions and reformatting, so that more capacity flows toward the decisions that actually require a person to make them.
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