Point, click, and talk to AI
A useful handoff combines a target, an action, and a result
To hand work to an AI agent from your screen, identify the relevant item with a point or drawing, describe the action by voice or text, and name the result you want to review. A gesture shows the target; it does not explain the task by itself. Denker brings these interaction methods together so the handoff can begin in the app where the work arose, rather than requiring a separate explanation from scratch.
Point to identify the item
Pointing is useful for a concrete reference: this email, this paragraph, this chart, or this selected component. It replaces ambiguous descriptions such as the button somewhere on the right. Make sure the relevant window is visible and the target is identifiable before asking the agent to work.
A point does not define every boundary. If several similar items are nearby, name the one you mean or narrow the selection. If the task concerns an entire table or thread, say so rather than assuming the nearby point represents the full scope.
Draw when a region is clearer than a name
Drawing can mark an area, connect two pieces of context, or show which part of a layout matters. In a design editor, circling a component can distinguish it from neighboring elements. In a report, marking a chart and its caption can make the request's context clearer.
Keep the mark tied to the request. Explain whether the region is something to change, compare, summarize, or leave alone. A drawn rectangle should not be interpreted as an instruction to redesign everything inside it unless that is the work you asked for.
Talk or type the action and expected output
Voice can keep the handoff in the flow of work: make this shadow softer, explain this total, or draft a reply answering these two questions. Text is equally useful when precision matters or speaking is inconvenient. The input method should help express the task, not impose a ritual.
Add the destination and review point. Ask for an explanation on screen, an unsent draft in the mail app, or a proposed change for review. These outputs require different execution tools. A clear request includes what to do when the source is incomplete or the app cannot be changed.
Separate your pointer from the agent's actions
Using your pointer to identify an item is different from allowing an agent to control the computer. Denker's public interaction guidance includes asking before using your pointer and showing the agent's cursor while it works. Confirm which target and action you are approving.
The same distinction applies to connected tools. An app connection enables supported access; it does not turn every nearby action into part of the current task. Keep consequential decisions explicit and review what was actually changed.
Correct the result using the same context
If the result misses the target, point back to the item and explain the mismatch. If a reply is too broad, identify the passage and state the change. If a selected setting is wrong, ask the agent to re-read the current value before applying another action.
Avoid turning a correction into an unexplained retry. A task may have partly succeeded. Inspect the current result, distinguish completed work from missing work, and continue from that state. This is particularly useful when the outcome appears in a document, spreadsheet, or app field rather than a conversation alone.
Use the smallest handoff that makes the work clear
Not every task needs a drawing, voice, and a click. Use a point when the target is obvious, a region when scope needs clarification, and words when the action or constraint matters. A well-designed interface lets these methods complement each other without making all of them mandatory.
For work with no screen reference, a text conversation may still be the most direct option. For work already visible in an app, evaluate whether showing the item reduces the context you must rebuild and whether the returned output is easy to review. That is the practical value of a screen-based handoff.
Frequently asked questions
Which apps allow point-and-click interaction with AI agents?
Denker centers its interface on pointing, drawing, and talking from the screen. Other assistants offer different combinations of voice, visual selection, and computer control. Compare how you identify a target separately from whether the agent can execute the required action.
Is pointing at an item enough to start a task?
A point identifies a target but may not define the work. Add the action, expected result, scope, and review point where those are not already clear.
Do I have to use voice?
No. Use voice or text to describe the action, and point or draw when a screen reference makes it clearer. The useful combination depends on the task and setting.
Does a point give the agent control of my pointer?
Identifying a target and authorizing computer interaction are separate actions. Denker's public guidance includes asking before pointer use and showing an agent cursor while it works.
How do I fix a misunderstanding?
Identify the relevant target or passage, state the correction, and inspect the current result before retrying. Some work may already be complete.