Workbench/resume/projects/proj_0d8f0fe0a65fde750f528118/session/sess_7d40900786ed4ff098431e94c1f01d30
Open Interview deep dive smoke
The transcript keeps interviewer prompts, your answers, coach hints, and the retrieval trace visible beside the structured project context.
- session_id
- sess_7d40900786ed4ff098431e94c1f01d30
- status
- active
- turns
- 3
- latest_trace_hits
- 1
Continue deep dive
Submit the next project answer while keeping the latest interviewer prompt visible above.
Session transcript
Turns are preserved in order so the project narrative can be reviewed, not just improvised once.
interviewer2026-03-24 11:24:35Z
What problem was Open Interview solving, and what part did you personally own?
user2026-03-24 11:24:35Z
I personally led the import and review workflow, chose a local-first SQLite plus structured entity model, and added retrieval trace so interview answers stayed grounded. The main trade-off was shipping fast without external infra, so I kept the retrieval path hybrid but simple.
interviewer2026-03-24 11:24:35Z
Why did you choose Next.js and TypeScript for Open Interview?
Coach hints (2)
Hints stay explicit so the session remains a workbench, not a mystery box.
Add one concrete metric, scale number, latency, or business impact.
Explain why Next.js and TypeScript fit this project and what it cost you.
Retrieval trace • hybrid • 1 hits
Project deep dive stays anchored on the structured resume_project summary chunk.No reusable question-bank grounding was available for this turn.resume_project_chunks_synced: 6No grounded citations were found for this query in the local bank.No supplemental question-bank matches were found; deep dive coaching stayed anchored on the structured project record.
resume_projectmergedscore 100.0
Open Interview
Built a local-first interview prep workbench that turns messy notes and resume bullets into structured questions, grounded QA, and project deep-dive sessions.
Led end-to-end import, review, question bank, and grounded QA flows.
Added retrieval trace, citations, and project deep-dive coaching support.
Tech stack: Next.js, TypeScript, SQLite, OpenClaw
Project context
Project context stays visible while the conversation evolves.
Built a local-first interview prep workbench that turns messy notes and resume bullets into structured questions, grounded QA, and project deep-dive sessions.
Next.jsTypeScriptSQLiteOpenClaw
Led end-to-end import, review, question bank, and grounded QA flows.
Added retrieval trace, citations, and project deep-dive coaching support.
Reduced prep time for interview review by making local knowledge searchable.
Latest prompt
The latest interviewer question stays easy to revisit before answering.
Why did you choose Next.js and TypeScript for Open Interview?