An implementation case from .Sell.Systems.
A bounded AI workflow.
Recoverable state.
The engineering behind focused Android interview practice.
Observe uncertain work.
The Kotlin and Jetpack Compose client connects to FastAPI. PostgreSQL persists sessions, model work and reports; Qdrant supports retrieval. The production route uses GPT-4.1 through the Responses API, with LangGraph-compatible session state.
Stable request identity, durable work state and bounded queues support recovery. Installation ownership gates access to interviews and reports. Local Langfuse stores allowlisted technical metadata without CVs, answers, prompts or generated feedback.
Keep the evidence boundary visible.
The current app screenshots are actual October 8 signed-release synthetic QA. The new founder video is pending. AI-simulated practice answers based on the founder's documented projects. No hiring outcome, score improvement, load-capacity claim or historical project attribution is made.
The founder's documented projects include multichannel sales/support with CRM, booking and handoff; Monday CRM and Zoom transcript processing; and QuickBooks, Bitrix24, Google Sheets and PDF workflows. No private customer identifiers or transcripts are shown.
Describe the workflow you need to make reliable.
Contact cs@sell.systems without confidential data or credentials.