Developing AI Agents
automated, integrated, secure.
AI agents take on tasks, make decisions based on rules and context, and integrate tools, data sources, and APIs to do so. With the Google Agent Development Kit (ADK), such agents can be developed, tested, and operated securely in a structured manner – from the rapid prototyping phase to productive deployment.
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What is an AI agent?
An AI agent is a goal-oriented software system that plans and executes tasks independently. It makes decisions based on rules, context and data.
Tools are the foundation of an AI agent. They enable the agent not only to provide answers, but also to take concrete action – such as retrieving information or updating data records in a database or ERP system.
In addition to the existing tools provided by an agent development kit such as the Google Agent Development Kit, the project is developing its own tools. These map individual processes and can be called up by the agent in a targeted and step-by-step manner – just like in a workflow.
An agent calls up Tools because goals/rules, clear tool descriptions and precise prompts guide it to do so. The goals and guidelines define what is permitted and when action is taken. The tool descriptions explain the purpose, required inputs (e.g. order number) and expected results. On this basis, the model selects the appropriate tool in the context of the request and uses it. Careful prompts (including short examples) control the process and define fallbacks; for sensitive steps, user approval can be optionally required.
An agent works in a similar way to a human being – it checks context and rules, selects the appropriate course of action and reliably takes on repetitive tasks, thereby noticeably reducing the workload for teams.
Why are AI agents revolutionising work?
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AI agents not only perform individual tasks, but also entire process chains independently. - AI agents adapt to the roles, tasks and working methods of individual employees and act as digital assistants.
- AI agents analyse large amounts of data in real time and provide consistent, data-based decision-making foundations.
- AI agents operate across systems (ERP, CRM, databases) and connect previously isolated applications.
- Experts are freed from routine tasks and can concentrate on strategy, creativity and customer relations.
- AI agents explain processes, answer questions and provide active support – onboarding becomes faster and more efficient.
The Google Agent Development Kit (ADK)
The Google Agent Development Kit provides a structured framework for transforming large language models into functional software agents. It connects artificial intelligence directly to external interfaces and tools, allowing the model to go beyond the limits of pure conversation. Instead of merely generating text, such an agent can analyse user requests, independently select the appropriate digital tools and execute code to accomplish real-world tasks.
A key advantage is the solution to known AI problems such as hallucinations and lack of planning ability. Through so-called ‘grounding,’ the agent is forced to check its answers against specific data sources instead of relying solely on its memory. At the same time, the kit manages the complex logic required for multi-stage processes. This allows the AI to break down a vague goal into a reliable, step-by-step plan without losing track.
The use of this toolkit standardises the technically demanding management of conversation flows and context in the background. Since the framework takes care of this orchestration layer, developers can focus entirely on defining the specific capabilities of the agent. The result is a faster development process that produces agents that work more consistently and are easier to control than completely self-built solutions.
