Product R&D · Delivery visibility
Answer delivery questions from the work itself.
Clarity is in development. It is designed to draft status from approved project activity, link each answer to its source, and reduce manual reporting work.
The Problem
Stakeholders need timely visibility into development progress, while engineers need uninterrupted focus. Status meetings, weekly reports, and Slack requests consume engineering time yet still leave questions unanswered between updates.
Clarity is designed to draft status from approved delivery activity instead of asking engineers to reconstruct it by hand. Its answers would link back to tickets, commits, pull requests, deployments, decisions, and other permitted sources so the team can check them.
How Clarity Works
Automated Collection
Designed to connect to Jira, Git (GitHub/GitLab/Bitbucket), Confluence, and CI/CD systems and collect permitted commits, ticket transitions, PR activity, deployments, decisions, risks, and documentation changes.
AI Daily Check-ins
The target workflow reviews permitted activity, drafts a pre-filled status update, and asks focused follow-up questions. The team would confirm or correct the draft before it becomes part of the status record.
Natural Language Queries
Stakeholders would ask questions such as “What shipped last week?” or “What is blocked?” Answers would cite approved source activity so quality and traceability can be tested instead of assumed.
Blocker Detection
Designed to flag agreed indicators such as stalled tickets and long-running pull requests. Thresholds, false positives, and the permitted use of individual activity would be defined for the engagement.
Architecture
The deployment design is a single Go binary inside your environment, connected to existing Jira, Git, Confluence, and communication systems through standard APIs. Model hosting, approved data flows, identity, retention, and audit requirements would be defined for the deployment.
The target is a customer-deployed, air-gap-friendly architecture with permissive dependencies. Section 508 conformance and evidence should be defined and tested as acceptance criteria for the configured increment.
A Testable First Increment
Start with named systems, permitted metadata, a fixed set of stakeholder questions, evidence quality thresholds, access controls, deployment and model boundaries, Section 508 and accessibility criteria, training, and export requirements. Acceptance can be based on source traceability, answer accuracy, timeliness, audit behavior, operability, and a usable handoff. Those measures provide a stronger basis for acceptance than the volume of manual status reporting.