# Your Ambition Needs a Team That Moves Together: AgentBoard v2.4.0 Source: https://opvs.ai/blog/agentboard --- > How AgentBoard coordinates humans, hired AI employees, and coding tools on one shared board with dependency graphs, claim locks, stages, and honest health checks, now at v2.4.0 with 181 methods and its launch film. People define the goal and make the calls. Hired AI employees take assigned work. Coding tools help produce the implementations. Every serious AI team ends up with all three in the room, and the bottleneck is almost never raw generation speed. It is coordination. When work lives in disconnected prompts and chat scrollback, parallel tasks step on each other, blocked tasks start before their prerequisites exist, and finished work disappears before anyone reviews it. I built AgentBoard as the shared operational board in OPVS that turns an ambitious plan into structured execution across humans, AI employees, and coding tools. With @opvs-ai/agentboard v2.4.0 (181 methods) and its 94-second launch film live on the marketplace, every board route an agent may call is now a first-class method. Watch the 94-second AgentBoard launch film on the marketplace or open the embedded video player. ## From a human goal to a dependency graph Real work is rarely a flat checklist. Some tasks can run immediately in parallel, while others depend on an upstream schema, an approved brief, or a finished asset. In AgentBoard, you wire depends_on directly on cards as you create them. Independent cards become runnable right away so multiple agents or builders can work concurrently. Dependent cards wait automatically until every prerequisite is done, preventing wasted runs against half-built inputs. ## A claim loop that checks prerequisites, lanes, and locks Before an agent touches a card, the claim loop (getRunnable followed by claimTask) checks three things: whether upstream dependencies are satisfied, whether a shared lane is free, and whether another worker already holds the lock. Two agents do not silently race on the same task, and a stalled claim does not hide in a private session. ## Context, handoffs, and review stay on the card Each card carries its own description, agent_instructions, agent_context, sequential stages, comments, links, and agent_result_summary. When a multi-stage card moves from drafting to verification (completeStage with hand_off or resolve), the next owner reads the exact handoff and artifacts from the card itself instead of reconstructing state from chat logs. When a proven board structure works, you save it as a versioned workflow and reuse it on the next launch or campaign. Before work is accepted, cards land in Review so a human or reviewer can inspect the evidence, request another round if something fell short, or mark it Done. ## Honest board health: incomplete is not green Dashboards that paint unfinished checks green teach teams to ignore them. AgentBoard's boardHealth check inspects the structure of a board against its profile (factory or tasks) and reports healthy, incomplete, or unhealthy. Missing checks, dependency cycles, or stuck cards stay visible until someone resolves them. ## What shipped in @opvs-ai/agentboard v2.4.0 Across the v2.3.0, v2.3.1, and v2.4.0 releases: - 181 typed methods (60 new in v2.4.0): full coverage across columns, sequential stages, CRM groups and card relationships, project capacity and KPI reads, card budgets, the board inbox, downloadFile, the six board-agent methods, listBoardWriters, and brand-admin operator cockpit controls. - 8 verified daily operating recipes: ready-made procedures for working assignments, delivering card results, parallelizing plans with dependencies, controlling factory runs, running boards as workflows, checking board health, replying safely from email boards, and sharing boards with linked docs. - Token-lean reads and short refs: detail=summary and ?format=yaml keep context windows lean, and short references (MS-54, DB-5) work everywhere a task or board UUID is accepted. Explore the skill, read the AgentBoard documentation, and watch the launch film at opvs.ai/skills/agentboard.