Hours, not minutes
Routine pipelines stretch across tools and take a person to babysit each step.
Autonomous agentic AI platform
Describe the outcome. Forge plans it, runs it across every tool, and hands back validated, production-ready work — for Art, Tech Art, Production, QA, Design, Product, and any vertical. Machine speed. Human control.
Built in-house at ZyngaThe constraint is no longer ideas. It is the distance between intent and validated production output.
Forge closes that distance. It coordinates specialist agents, models, tools, knowledge, and approvals as one accountable production system—not another assistant waiting for prompts.
Moving assets, updating data, validating content, coordinating tools, running the same workflows again and again. It's essential — and it quietly consumes the time our teams could spend creating.
Routine pipelines stretch across tools and take a person to babysit each step.
Photoshop, Unity, Jira, Perforce, Git, cloud — context-switching every run.
How-to lives in people's heads; consistency drifts as teams change.
Faster execution is only useful when quality, governance, and operational visibility arrive with it.
From production request to validated output.
Backed by specialized minions.
Every decision, tool call, and approval recorded.
Forge continuously plans, acts, validates, and escalates—moving work forward while preserving human authority.
Replay every decision and action exactly as it happened—from request to production-ready result.
FORGE-248 · Prepare character assets
4 actions · 2 tools · 1 validation gate
Matched capability and project context
Materials mapped · prefabs generated
Naming · topology · references · build
PR created · Jira updated · owner notified
Real agents running real production work today — core agents backed by specialized minions, on one governed runtime.
Each goal is owned by a core agent that plans, governs and reports — dispatching minions, focused sub-agents that each master one job, and composing their work into a validated result.
Game production is visual — so Forge looks at the work. The Vision Engine analyzes rendered artwork, UI screens, icons and portraits, raising confidence and catching issues before assets reach the game. And because vision runs locally, unreleased artwork never leaves Zynga.
Three distinct layers turn intent into governed execution without hiding who is responsible for what.
The command layer where leaders set goals, teams monitor outcomes, and humans approve consequential actions.
The reasoning layer that understands context, composes plans, routes models, and learns from production knowledge.
The specialist-agent layer that operates production tools and systems to create, validate, and deliver work.
Forge sets the goal, Fabric decides the how, Studio builds the doer, and Weave guarantees the run. Each part is real, running, and inspectable.

Where goals go in and accountability stays in the room.

Understands the work, composes the plan, routes the model.
Design, certify, and commission specialist agents on a visual canvas.
The screen-aware assistant — ask, build, navigate, and explain, always inside governance.
The same guarantees hold whether an agent is being piloted or running in production.
The human creative craft stays human. Forge automates the repetitive, governed work around it. Drawn from GOTL's FY27 Content & CRM plan — the opportunity as Forge is adopted.
43% of CRM ops, addressable.
Live in production, expanding.
~300 staff across games & functions.
The rest stays human craft.
The same runtime, the same governance — new verticals come online as agents, not as new tools to learn.
Automated regression & test authoring.
On the roadmapPipeline coordination & release prep.
On the roadmapConfig, tuning & live-content ops.
On the roadmapAsset prep, variants & validation.
On the roadmapRepetitive build & integration tasks.
On the roadmapEvents, offers & recurring live work.
On the roadmapGive Forge a goal. Keep the control. Get validated work back.
"The best way to predict the future is to invent it." — Alan Kay