AI Agents for Teaching, Research, and Administration

Always-on AI agents for teaching, research, and administration — under the access and spend controls a school needs.

Agents that keep working for educators

SkyDeck.ai gives educators, researchers, and administrators a governed place to put AI to work. In GenStudio, every member reaches any model to plan lessons, draft materials, and give feedback; in Agent Pods — persistent cloud workspaces — longer jobs run on their own and pick up where they left off. It is one workspace for the classroom and the research lab, with a Control Center over the top so a school can adopt AI without losing sight of who is using what.

• Reach any model for everyday teaching and learning in GenStudio.
• Run long research and analysis jobs in pods that survive disconnects.
• Govern access, data, and spend by department from one console.

For educators

Turn preparation into something you direct rather than do by hand. Build adaptive lesson plans, generate engaging classroom content, and give students timely feedback — with agents and shared prompts you can reuse across sections and terms. Invite colleagues into a conversation to co-plan, and share a snapshot anyone can open without an account.

• Adaptive lesson planning — shape plans around each student's pace and interests, then reuse and refine them.
• Intelligent assessment — generate quizzes that adjust in difficulty and surface where a class is struggling.
• Automated Grading Assistant — give consistent feedback on written responses, problem sets, and creative projects, so you spend your time teaching.

For researchers

Educational research runs long, and a chat tab cannot hold it. In an Agent Pod, a literature review or a data analysis can run around the clock; the main terminal outlives your connection, and everything in /workspace — your corpus, notebooks, and intermediate results — persists to the next session. Idle pods auto-sleep so a long project never quietly burns the department's budget.

• Literature review at scale — work through large bodies of academic writing to surface themes and gaps.
• Long-running analysis — leave a job working over a complex dataset and return to finished results.
• Collaborate on one agent — one Driver at a time, with read-only observers, so a research team works a session together without collisions.

For administrators

Roll AI out to faculty and staff without losing the budget. The Control Center governs every workspace: encryption in motion and at rest, SSO, DLP, and RBAC decide who reaches which models, while spend guardrails keep costs predictable — a monthly budget, per-group caps you can align to departments, a limit on concurrent pods, and auto-sleep for idle ones. You watch every running pod from one screen. See the Agent Pods guide for how pods behave, or the Agent Pods page for the whole picture.

For curriculum developers

Give the people who build learning materials the same governed tools. Draft plans, activities, and supplementary content tailored to a subject and grade, then adapt what works for the next class instead of rebuilding it each term.

• Accessible by default — generate alt text and captions, and flag content that needs them.
• Standards alignment — map materials to state and national standards to speed reviews.
• Reuse across courses — build a resource once and carry it forward term to term.

Built for how schools work

Reach dozens of models through one interface with no vendor lock-in, invite colleagues and students into a shared workspace, and keep every conversation and pod under one set of controls. A department can pilot with a small budget, see exactly what a term of use costs, and expand only when it is ready. It is learning together — taught, researched, and governed in one place.

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