What is an AI agent interface?
Show what you mean, hand off the work and keep the result within reach.
Summary
An AI agent interface is how you give an agent a task, share context, follow progress and use its output. Its value becomes clear when the work is easier to express and continue. Denker lets you point, draw, talk or type from the app in front of you, then hand work to a configured agent. Follow a website-button example to see how a visible idea becomes a coding request, a session you can follow and a result you can review.
Key points
- Showing the target makes your request specific. A mark identifies the place you mean while your words explain the change, avoiding a separate description of the entire screen.
- A useful handoff connects the request to the tool doing the work. Denker can dispatch coding context to Claude Code, Codex or OpenCode once the chosen provider and project are set up.
- Progress and outputs keep you involved. Follow the session, answer questions and refer to the result when asking for the next adjustment.
You are looking at a website and want a consultation button below the service description. You know where it belongs before you know which component implements that part of the page. An AI agent interface should help you communicate that visual decision and carry it into useful work. In Denker, you can mark the spot, describe the button and hand the request to your coding agent.
What an AI agent interface does
An agent interprets a goal and works through the tools available to it. The interface gives you ways to express the goal, supply material, understand progress and continue from the output. It can be a chat, an editor panel, a desktop overlay or a workspace.
The right form depends on the task. A self-contained question may fit a chat. A code selection may fit an editor. A visual decision on a running page benefits from showing the page itself. Denker brings that screen-based starting point into the handoff.
Show the change where you noticed it
For this illustrative website task, open the local page and mark the space beneath the service description. Explain the wording and destination of the new button. The mark supplies the location; the instruction supplies the behavior.
That combination gives the agent a concrete design request. You can express the change from the page you are evaluating instead of first translating its position into file names and layout terminology.
Add a Book a consultation button below this service description in the Forma site project. Match the existing button style and link to the contact section. Show the local result for review.
Connect the visible request to your coding tool
Denker supports coding work through configured Claude Code, Codex or OpenCode agents. Identify the project that owns the page and make its repository available to the chosen tool. The screen context explains what you mean; the project files give the agent material it can change.
The Meet Denker film illustrates a website request being handed to a coding session and a new button appearing in the page. Use it to understand the interaction, then try a small change in your own project.
Follow the work and shape the result
A handoff is useful when you can still see what is happening. Denker keeps tasks, conversations and outputs available as work progresses. Open the relevant session or conversation to read the response, answer a question and explain an adjustment.
For the button example, a follow-up might ask for the existing corner radius or a shorter label. Keep that correction with the same task so its purpose is understandable. Pending approvals and stopping controls depend on the operation and provider; use the controls in the app carrying out the work.
Continue from the changed page
Review the code change and the running preview together. Check the button text, position and link, including a narrow window. Relevant project checks help establish that the change still fits the application.
The useful output is a change you can inspect and continue working with. You might adjust the spacing, share the preview with a colleague or prepare the change for publication. Keep publication as a separate decision after the result is ready.
Choose an interface around your own work
Try one task with a clear source and output. Notice what you need to explain, how the agent receives the material and where you return to continue. For a customer reply, that output may be a draft; for research, a source-linked comparison; for coding, a changed file and preview.
An interface earns its place when those transitions fit your workflow. Denker is relevant when the request begins with visible work and pointing, drawing or speaking makes it easier to express. Available actions still depend on the chosen tools, account access and installed setup.
Frequently asked questions
What is an AI agent interface?
It is the set of controls for giving an agent a task, sharing context, following progress and using the result. Chat, editor panels, desktop overlays and workspaces are common forms.
How does Denker help with a visible coding request?
You can point or draw on the page, add a voice or text instruction and hand the task to a configured coding agent. Identify the project, then follow its session and review the code and preview.
Does a screenshot give the agent access to the project?
A screenshot provides visible context. The coding tool also needs the appropriate repository and setup to inspect or change project files.
What should I look for when choosing an interface?
Use a task from your own work. Check how clearly you can show the source, explain the goal, follow progress and continue from the output.