Agent
Spark
Planner agent that converts goals into executable task graphs.
A multi-agent system is a set of specialized AI agents that coordinate to complete a shared goal faster and more reliably than a single monolithic agent.
Agent
Planner agent that converts goals into executable task graphs.
Agent
Design and UI agent that composes layouts and visual assets.
Agent
Data and state agent that tracks dependencies, budgets, and artifacts.
Agent
Risk and policy agent enforcing validation, auth, and compliance checks.
Agent
Execution agent handling deployment steps, retries, and handoffs.
A coordinator assigns tasks to specialist agents and merges outputs into a single execution plan.
Agents exchange proposals directly when tasks overlap, then commit a conflict-free version.
Agents publish state updates to a shared bus so interested agents react without tight coupling.
22:00
Spark decomposed a brief into seven site scopes and parallelized delivery tracks.
23:30
Pixel generated page systems while Ledger synchronized assets, content, and acceptance criteria.
01:00
Sentinel blocked unsafe actions, enforced schema checks, and routed uncertain items for review.
04:30
Rook executed builds, retries, and deploy flows; all seven sites shipped before morning standup.
Define specialist roles, communication contracts, and evaluation checkpoints before scaling agent count.