The operating problem
Product and engineering often evaluate AI in one interface, then rebuild the entire behaviour when it is time to ship. IaGenify treats the workspace and SDK as two surfaces of the same platform, so models, tools, permissions, workflows and execution records use the same vocabulary from exploration to integration.
Product and engineering share models, tools, permissions and execution records from prototype to production.
A practical workflow
IaGenify connects model sessions, the live web, files, databases, terminals, media tools and platform services in one execution. A successful run can become a durable workflow that branches, pauses, retries and resumes.
- 01Explore the use case in Beta with real models, tools and representative data boundaries.
- 02Inspect the run to identify the steps, tools, budget and approvals that make the result dependable.
- 03Convert repeated behaviour into a workflow, skill or bounded sub-agent rather than a larger prompt.
- 04Move the proven pattern into application code with SDK sessions, agents and typed outputs.
- 05Monitor execution records and refine the shared capability without inventing a second product model.
What IaGenify connects
One workspace for the work, one permission model for the consequences, and one execution trail for the result.
What success looks like
- Less rework between prototype and production
- A shared language for product, design and engineering
- Budgeted and permission-aware agent behaviour
- Reusable capabilities across the product portfolio
Control stays visible
Every run keeps its tools, steps and cost visible. Plan mode is read-only, budgets stop open-ended work, and irreversible actions remain behind explicit approval.
Frequently asked questions
Is Beta required to use the SDK?
No. The SDK can be used directly; Beta is the fastest place to explore and validate the full platform interactively.
Do Beta and SDK use different agents?
They expose the same platform concepts and services, although your application controls its own interface and orchestration.
Where can the SDK run?
The SDK is designed for Node.js, modern browsers and Cloudflare Workers with runtime-appropriate session storage.
Can outputs be validated by software?
Yes. Model sessions can use structured schemas and typed errors rather than relying only on free-form text.