Kuika AI Agents are AI agents that work within your enterprise business processes, connect to your tools, and plan their own steps. Get started in minutes with ready-made templates, or build your own agents from scratch — without writing any code.
An agent is a different category. It takes on a task, plans the steps, connects to external systems when necessary, creates files, retrieves data, and delivers the result. A chatbot provides information, an agent completes the task.
Not every business process requires an agent. Rule-based, repetitive tasks are solved through automation, while single-step text processing tasks are handled by AI functions. The area where an agent creates value is different: processes involving multiple steps, where context needs to be re-evaluated at each step.
If you build an agent without making this distinction, you end up with a costly question-and-answer tool. But if you apply it to the right process, a task that takes three people half a day can be reduced to ten minutes.
The Agent's "brain". It understands the mission, plans the steps, and interprets the results. GPT-40, Claude, Gemini — you can connect whichever model you want.
The agent's "hands". They search the web, read/write files, analyze Excel files, run Python code, and query databases.
Agent's "connection to the outside world". It connects to Google Workspace, Slack, GitHub, Jira, Trello, and more with a single configuration.
It analyzes a person's work history, education, projects, and skills. It evaluates which positions they are suitable for.
It researches a company's areas of operation, financial situation, investments, and competitors. It creates a comprehensive profile for a single name.
It retrieves position requirements and generates a professional job posting. It supports language selection and saves the output as Markdown.
It receives the job posting and candidate list, matches and ranks the most suitable candidates. It does not force matches if there are no suitable candidates.
It scans current news on the specified topic, summarizes it from reliable sources, and presents it with reference links.
They search for activities and restaurants based on destinations and preferences, creating a comprehensive travel plan.
Based on the specified criteria, it searches for professionals on LinkedIn and compiles their profile information.
It finds and reports official company registration information in Türkiye.
It provides a comprehensive analysis of a company's brand perception, digital presence, and market positioning.
It searches for the specified product on Google Shopping and compares prices.
A comprehensive intelligence report on an individual — digital footprint, career information, media visibility.
Build your own AI agent from scratch. An agent whose prompt, toolset, and inputs are entirely defined by you.
Building an agent isn't a software project. It's like onboarding a new employee: you define what they do, give them their tools, test them, provide feedback, and they get better over time.
It searches for the specified product on Google Shopping and compares prices.
String, Boolean, Integer, define what the agent will receive from the user.
Choose which built-in tools and MCP integrations you want to use.
Experiment with real-world scenarios. Improve the prompt, and be satisfied with the result.
Integrate the agent into your application. Let users interact using natural language.
Don't start from scratch. Choose the template that suits your needs, customize it, and deploy it in minutes.
Template: Employee Researcher + Candidate Selector
Tools: SerperDevTool, ScrapeWebsiteTool, ExcelReadTool, FileWriterTool
Inputs: Candidate name (String), Reference check (Boolean), Years of experience (Int.), Expected salary (Int.)
Template: Person Intelligence
Tools: SerperDevTool, ScrapeWebsiteTool, FileWriterTool
Inputs: Person name (String) + 5 Boolean flags
AI agents are powerful tools, but they aren't a solution to every problem. Putting the right tool in the right place is just as important as installing the agent itself.
You don't have to automate everything at once. Choose a process that takes the most time, is the most repetitive, and has the most decision points. Let's create an agent for that process. Once you see the results, you can expand it.
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