FAQ from Canvas Builders Program
What is Canvas Builders Program?
A rigorously paced, mentor-guided 2-week sprint that transforms early-stage AI concepts into production-deployed, user-facing agents—complete with monitoring, feedback loops, and iterative upgrade paths. No abstraction without application. No lecture without live build.
How to use Canvas Builders Program?
Submit your agent use-case in under 150 words. If aligned with our sprint’s focus on deployable value, you’ll receive an invite within two business days. Pay the $50 commitment fee—converted directly into platform credits—to lock your spot and begin pre-sprint onboarding.
Do I need prior AI engineering experience?
No. Whether you’re a product manager mapping workflows, a domain expert with deep industry knowledge, or a developer exploring agentic systems—you’ll gain hands-on fluency in LLM interface design, safe tool invocation, and production-grade agent scaffolding. Canvas abstracts infrastructure complexity so you focus on *what the agent does*, not how it runs.
What support exists after the sprint ends?
You retain full ownership of your deployed agent—and full access to the Canvas ecosystem. Graduates join a private Slack community, receive lifetime access to all sprint assets (recordings, prompt libraries, evaluation checklists), and attend monthly Office Hours for strategic scaling, integration expansion, and peer-coached refinement.
What if my agent requires complex integrations beyond two weeks?
The sprint guarantees a working, user-testable V1—validated against core objectives. For advanced capabilities (e.g., custom auth flows, legacy ERP syncs, or multi-step approval chains), mentors co-create a prioritized post-sprint roadmap and connect you with accountability partners to maintain momentum—no drop-off, no dead ends.
What will I actually be able to build—and ship—by day 14?
A live, observable AI agent—deployed on Canvas Cloud, accessible via shareable link or API, integrated with at least one real data source or tool, and instrumented with usage metrics and user feedback capture. You’ll also walk away with a documented agent spec, a repeatable build playbook, and confidence to launch your next agent in half the time.