Contextium Projects turn any large build into a structured sequence of phases — each planned, implemented, and reviewed by AI. Your team sees the progress. Your AI never loses the thread.
Without structure, large builds stall. With Projects, every session has a clear next step.
get_next_phase — no re-briefing, straight into building.Plan once. Build phase by phase. Ship with confidence.
The Planner agent runs once at the start. It reads your spec, understands the goal, and writes individual phase files — one per database migration, API endpoint, MCP tool, or UI component — ordered by dependency. Each phase has a title, layer, implementation spec, and acceptance criteria.
Each session the Builder calls get_next_phase to find the oldest pending phase, marks it in progress, builds it completely, then hands off to the Reviewer. One phase, one session — no scope creep.
The Reviewer independently reads the phase file, checks every acceptance criterion against the implementation, then either approves or returns it to the Builder with specific feedback. Only approved phases are marked complete via mark_phase_complete.
From spec to shipped — structured, visible, and AI-executable.
Every project uses one set of shared agents — Planner, Builder, Reviewer — reused across all your workflows. No per-project setup, no duplication.
The Projects dashboard shows open and completed phase counts for every project. Filter by active, complete, or archived to focus on what matters.
When a Task is promoted to a phase, it's linked automatically. Completing the phase resolves the task — no double-tracking, no forgotten work.
Every phase is a markdown file in the project library — readable by humans and AI alike. Includes implementation spec, layer, status, and acceptance criteria.
Every team member sees the same phase list. Assign work, track progress, and hand off between sessions — without Slack threads or status meetings.
AI agents drive the entire lifecycle via MCP tools — get_next_phase, mark_phase_complete, and load_workflow. No manual tracking required.
Your AI agents call these automatically — no manual wiring needed
Returns the oldest pending phase file in the project library. The Builder calls this at the start of every session to pick up exactly where the last session ended.
Tags the phase as passing, increments the completed count, and automatically resolves any linked Task. Called by the Reviewer after approving the implementation.
Loads the full project context — agents, libraries, skills, and active phase list. Every session starts here.
Finalises the session log with an outcome summary. Keeps a full audit trail of what was built, reviewed, and shipped across every session.
Any multi-step build becomes a structured, AI-executable project
Break a feature into DB migration → API endpoints → MCP tools → UI components. Each phase is implemented and reviewed before the next begins.
Schema renames, library upgrades, authentication rewrites — break the migration into safe, reversible phases with acceptance criteria at each step.
Security reviews, performance audits, or bug sweeps. Each finding becomes a phase file. AI works through them systematically, one per session.
Adding a new service across API, CLI, MCP, and desktop? Each layer gets its own phase. Progress is tracked across all surfaces in one place.
Stop winging it. Give your AI a plan, a role, and a review gate — then watch it ship. Free to start, no credit card required.
Free plan available · Works with Claude Code, Cursor, and any MCP-compatible AI
Projects are one layer of a complete AI collaboration platform
Workflows bundle your agents, libraries, skills, and project phases into a single loadable context. When your AI loads a workflow, it gets everything — the phase list, the agents, and the acceptance criteria for each phase.
Learn about WorkflowsTasks are the lightweight to-dos that sit alongside your project phases. Set due dates, assign owners, and get automatic overdue alerts — while your AI reads the task list every session to stay aligned with the team.
Learn about TasksThe three project roles are built on Contextium's agent system. Customise them for your domain, share them across every workflow in your workspace, or browse the Marketplace for ready-made specialist agents.
Learn about Skills & AgentsAI Chat lets you query your entire workspace — phase files, session logs, task history — without leaving the app. Ask what changed in the last sprint, or why a phase was marked failing, and get answers grounded in your actual docs.
Learn about AI Chat