Flexberry AI Assistant

Start your analysis work by dropping raw notes, briefs, and chat logs into Flexberry AI Assistant. It quickly surfaces candidate requirements, groups similar items, and flags conflicts so you can clean the list without manual triage. Use its prompts to define acceptance criteria, clarify edge cases, and set priorities (e.g., MoSCoW or custom scoring). When you approve changes, the assistant updates a living requirements set and keeps a trace to the original sources. Push the curated backlog to your planning tool, or export a tidy spec for stakeholder review.

Turn narrative domain knowledge into structure in minutes. Paste a product or data description, and the assistant proposes domain entities, attributes, and relationships. You can edit names, add constraints, and adjust cardinalities before accepting the model. With one click, it produces a clear class diagram you can rearrange visually and share for feedback. From the same model, generate SQL DDL with foreign keys, indexes, and join tables aligned to your naming rules. Choose your target flavor (e.g., PostgreSQL or MySQL), preview migration scripts, and download ready-to-run files. The current prototype focuses on class diagrams and SQL, and is built to expand to more artifact types over time.

Speed up early design without overcommitting. Convert approved models into diagram assets, annotate them with assumptions, and export images for presentations. Create lightweight screen outlines and API payload examples to validate flows with the team before development begins. When feedback lands, accept or reject suggestions and the assistant updates both the diagram and the data schema to stay consistent. Version snapshots help you compare deltas, generate changelogs, and explain why a decision was made.

Keep your knowledge organized as the project grows. The assistant extracts metadata—terms, owners, related docs—and adds searchable tags to every artifact. Run quick text analytics on customer feedback or support tickets to spot themes that map to new or updated requirements. Link items to epics or milestones, and get an impact view when something changes in the model or schema. Use the dashboard to see what’s ready for review, what’s blocked by missing details, and what’s safe to hand off to engineering. You stay in control; the assistant lowers busywork and keeps everything traceable from idea to database.