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.
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, their links, and how well the spec holds through to delivery.
Quality score per artifact
Every requirement gets a transparent rating with rationale and concrete hints on what is still missing or unclear. Requirements with incomplete test coverage, contradictory glossary terms, and ambiguous wording become visible immediately.
Structure and traceability
OakCore checks links and how the spec is broken down: missing connections, incomplete acceptance criteria, and breakdowns that are too coarse or too fine. A gappy breakdown between requirement, test, and risk surfaces before it reaches review.
Spec through to delivery
Tickets from Jira, linked PRs, and source files feed into scoring. Spec-code inconsistencies are flagged as implementation gaps when requirement, planning, and code do not yet align.
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.