Plan, build, review, and ship — run end to end by the AI you already use. Claude, Codex, or any MCP client plans the work, writes the code, and reports back. DolphinQ keeps the timeline, dependencies, and history, so you de-risk delivery before deadlines slip.
The same AI that writes your code keeps the project honest. Every stage lands in DolphinQ through an MCP tool call — no one updates tickets by hand.
Turn a spec, Notion page, or spreadsheet into stories with components, priorities, and dates.
create_stories_batchWire what blocks what. The critical path and Gantt timeline update as dependencies land.
add_dependencies_batchYour coding agent reads the story, does the work, and logs progress back as it goes.
get_storyadd_commentLink the PR and record what was verified — tagged, threaded, and kept with the story.
add_story_artifactupdate_storyYour AI reviews risk and next steps; DolphinQ saves it as a timestamped, versioned page.
post_story_analysisAsk what is overdue, blocked, or at risk — answered from live project data.
get_project_statusget_workloadPR #42 (refund flow) is merged into staging and deployed. Verified live on staging: refunds return credits and points in one transaction, a second cancel changes nothing, and the audit log records who approved it. Ships to prod with release #48.
Ask about priorities, downstream impact, or your own workload — or just tell it what to do. Your AI has the full picture and surfaces the decisions that need you.
What should I work on next?
DLPQ-12 (API auth) is your highest-leverage task — it’s blocking 3 downstream stories and sits on the critical path. Clear it and the most work unblocks. DLPQ-15 is also ready with no blockers, due Friday if you want a quick win.
Stories created via MCP land on the Gantt chart and dependency DAG instantly. No configuration, no drag-and-drop — just conversation.
Create stories, assign work, wire dependencies, check project health, and query timelines — all through natural language. No forms, no clicks, no context switching.
Gantt charts populated the moment your AI creates stories. See milestones, date ranges, and today marker — plan feasibility at a glance, no manual entry required.
Every dependency your AI wires renders as a directed acyclic graph, with the critical path highlighted in red. Spot the bottleneck before it becomes a delay.
When your AI reviews a story — risks, blockers, what to do next — DolphinQ saves the assessment: timestamped, versioned with full history, and shareable as a page. Nothing lost in the scroll.
You shouldn't have to manually create stories, estimate timelines, or chase status updates. DolphinQ turns project management from reporting overhead into a live, intelligent layer — less status updates, more shipping on time.
Spreadsheets, Google Docs, Notion, PDFs — whatever your team already uses. Your AI reads it with its connectors, and DolphinQ turns it into a project plan: stories, dependencies, and a timeline. No migration, no re-formatting.
DolphinQ doesn't ship its own AI. Connect the one you already use — Claude, Codex, or any MCP client — and it gains SDLC capabilities: plan stories, wire dependencies, log progress, link PRs, and report status, all through conversation.
Not "for everyone." Built for teams that let AI agents do the work — and still need to see the plan.
Claude Code or Codex picks up a story, builds it, and logs the PR and verification back. Nobody updates tickets by hand.
Ask your AI about blockers, timelines, and priorities, and let it post progress as you work. Status lives where the work happens.
See AI-driven delivery at a glance — critical path, overdue work, and saved risk assessments — without reading every thread.
One workspace, encrypted tokens per member, project-level access control. Full PM capabilities without the enterprise overhead.
The AI-native SDLC — from conversation to shipped release, in one workspace. Open for Beta (Limited Slots). No credit card required.