Discover
Understand the problem
Map the user journey, existing systems, and constraints. Define what a useful outcome looks like before choosing a solution.

A focused starting point
Bring search, assistants, and document workflows into your product. We start with a real user task, connect the right knowledge, and make review and control part of the experience.
Products with repeated questions, complex information, or time-consuming workflows.
Discuss your requirementsThe delivery approach
A strong result starts with shared understanding. We shape the work around your priorities and make the next decision visible.
Discover
Map the user journey, existing systems, and constraints. Define what a useful outcome looks like before choosing a solution.
Design
Agree on architecture, interfaces, and the first release. Identify dependencies and set clear acceptance criteria.
Build
Connect the systems and build the experience. Review progress with real examples, including failures and edge cases.
Launch & evolve
Validate the release, document how it runs, and prepare the handover. Decide what to measure and improve next.
Technical perspective
RAG for web products: connect answers to your knowledge
AI governance for web products: make oversight part of the workflow
Before we begin
Choosing a development partner should feel informed. Here are the practical details.
Tell us about your projectWebLab Corp is the web systems branch of Gatai Inc. We focus on webhook integrations, AI features for web products, custom applications, and workflow automation. An engagement can cover a single integration or a connected product from planning through delivery.
Yes. We begin by reviewing your current stack, APIs, data flows, and user journeys. That review helps identify what to keep, what to connect, and where a focused change can have the greatest impact.
No. A clear business problem is enough to begin a discovery conversation. We can help define the users, success criteria, technical constraints, and smallest useful release before implementation.
Scope, integration complexity, data access, and review requirements all affect the estimate. We agree on deliverables and milestones after discovery. There is no universal price or timeline for every project.
We discuss data boundaries, access controls, evaluation criteria, and when people need to review a result. The appropriate approach depends on the use case. We do not promise that every AI output will be correct.
Handover should include the documentation, operating instructions, and ownership needed to maintain the system. Ongoing support, monitoring, and further improvements can be scoped with the delivery plan.
Your next chapter
Start with the bottleneck, the idea, or the experience you want to improve.
We will help you turn it into a clear starting point.