AI that knows your project. Assistant, scoring, and context for agents.
Chat, quality scores, and compliance checks draw on your entire specification. Answers and ratings refer to what is documented in the project. Your team stays in the loop and reviews every recommendation before approval.
AI directly on the product graph
OakCore AI works on your artifact graph. Suggestions, scores, and checks refer to linked requirements, risks, tests, and decisions already made, not an isolated chat window.
Assistant in project context
Ask about requirements, revise wording, clarify open items. The assistant works on the same graph as your team and responds with reference to model, status, and linked evidence.
Project-specific answers
Ask about requirements, dependencies, or open reviews. Answers come from your specification, not from an empty chat.
Formulate requirements
New requirements build on what is already linked in the project. Existing artifacts, risks, tests, and attachments set the starting point.
Verifiable answers
Every AI output points to the underlying artifacts. You see immediately what a statement is based on.
Scoring, relations, and consistency
Quality becomes visible before it reaches review. OakCore rates individual artifacts and their links and shows where something is missing or does not fit.
Quality score per artifact
Every requirement gets a transparent rating with rationale and concrete hints on what is still missing or unclear.
Relations and traceability
OakCore checks not just texts but their links: missing connections, incomplete acceptance criteria, weak coverage between requirement, test, and risk.
Consistency and terminology
The project glossary feeds directly into checks and supports a consistent specification. Contradictory terms and wording become visible.
Standards compliance
AI-assisted checks for completeness and conformance, for example against ISO 26262, IEC 62304, or ISO 9001. Gaps become visible early, not at certification time.
Spec-driven development and agents
A clean specification is the best foundation for good delivery. When requirements, dependencies, and decisions are clear in the graph, teams and agents need to interpret less and can focus on the work.
Spec-driven development
The specification is the shared working basis for product, engineering, and agents. AI checks specs for contradictions and gaps before code is written. Fewer questions, fewer misunderstandings, less rework.
MCP integration Coming Soon
External agents and tools read project context directly from OakCore, structured and current, without copy-paste from documents. Cursor, Copilot, and your own pipelines work from the same spec as your team.