Questions About Think-Act, Answered

Think-Act is a Windows desktop AI workspace that brings writing assistance, OCR, document intelligence, screen recording, local skills, and tool-connected agent workflows into a single application. It is built for professionals and everyday users who want practical AI help with desktop tasks — not another browser tab.

It lives on your desktop alongside your documents, screenshots, files, and apps. You describe what needs to be done, and Think-Act uses the tools and skills available to produce a verifiable result — one you can check before acting on it.

No. Think-Act uses a chat-style input, but it is built for desktop workflows, documents, recordings, skills, and tool-connected actions. A standard chatbot works with text you type. Think-Act works with selected text, copied images, OCR content, recordings, files, and connected local tools.

The difference is that Think-Act is designed to produce reviewable, structured, reusable output with visible execution history, not just a conversational reply.

The Desktop Agent accepts a plain-language task, uses the skills and tools you have enabled, and returns an answer with evidence or tool observations where available. It is designed for multi-step workflows that are too complex for a single writing or OCR prompt.

You describe what you want, optionally add a success criterion that defines what completion looks like, and the agent reasons through available steps. The response, execution history, and any tool observations can all be inspected before acting on the result.

A success goal defines what must be true before the agent reports completion. It is an optional condition you write alongside the main task instruction — something like "all invoices should have a total extracted" or "the output file should exist and be non-empty." See the Desktop Agent guide for the full workflow.

It is useful when the task has a clear, checkable outcome. For simpler tasks, you can skip it and review the output directly.

Only when the required connector or tool exists, is installed, trusted, enabled, and permitted by policy. Without a connector, the agent can still produce instructions, drafts, summaries, and structured outputs, but it cannot take actions inside other applications directly.

Start with tasks that do not require connectors — writing, OCR, summarization, and file organization — before adding tools that act in external systems.

Yes. Agent responses, tool observations, and execution history remain available for review after a run. For consequential actions — those that modify files, send messages, or use external systems — confirmation gates can be required before the agent proceeds. Review the security controls before automating higher-impact work.

Checkpoints let you inspect before-and-after states. Where supported, you can rewind to an earlier point before retrying a step.

Yes. OCR can extract text from screenshots and copied images where supported. The extracted text can then be summarized, searched, reformatted, or passed to another task as context. See OCR and Document Intelligence, or review accessibility-focused reading workflows.

Yes. Think-Act can process scanned and image-based PDFs, including files whose text is stored as an image rather than selectable characters. Once extracted, you can summarize the content, pull specific fields, or use it as the basis for a follow-up draft.

Yes. Think-Act can extract names, dates, totals, clauses, and action items from supported document types. It can also build tables from semi-structured content or prepare follow-up emails and checklists from the extracted data.

Finance and legal outputs still require qualified human review. Think-Act produces a draft that removes manual copy-paste; it does not replace professional judgment.

The screen recorder is a workflow documentation tool. Record a process once, then use Think-Act to generate a transcript, SOP, bug report, or reusable skill from the recording. The value is in what comes out of it — not the video file itself.

It is useful for onboarding steps, QA walkthroughs, support scenarios, and any repeated process where the documentation matters as much as the action.

Yes. Avoid recording credentials, private messages, customer data, and regulated content unless your organization explicitly allows it. Keep recordings focused on the workflow being documented and follow your retention and storage policy. Read the Screen Recorder guide before capturing sensitive applications.

It is designed for desktop writing workflows. You can provide content through selected text, clipboard content, or copied images where supported — or use prompt-only mode to write without any source material. Think-Act rewrites, drafts, translates, summarizes, or adjusts tone based on what you ask.

Prompt-only mode ignores any clipboard content and processes only your written instruction. This is useful when you want to generate new content from scratch rather than working from existing material.

Only an approved connector with the required permission can send a message. Without that connector, the Writing Assistant prepares content for you to review and send manually. Think-Act will not send on your behalf without an explicit tool and the appropriate policy. See the integration model.

Yes. Prompt-only mode sends only your written request without pulling in clipboard content. Use it for a first draft, template, translation from scratch, or any writing that does not start from existing text or an image. Learn more on the Writing Assistant page.

MCP stands for Model Context Protocol — a protocol that lets an AI agent call tools exposed by a local server. Think-Act supports local MCP servers, which run on your device and provide specific capabilities depending on what you install.

Local MCP servers may require Node.js, npx, Python, or other runtimes to be installed on the device. The agent only uses tools that are explicitly enabled and confirmed as healthy.

Skills are local playbooks that guide how the agent should perform a specific workflow. They encode the steps, context, and reasoning for a task you have found useful and want to repeat. They are stored on your device and can be selected when starting a new run.

Skills do not replace missing tools. If a workflow needs a connector to complete an action, the connector still needs to be installed, enabled, and permitted — a skill alone cannot substitute for an unavailable tool.

No. Cloud MCP connectors and A2A remote workflows are not implemented in the current release. They are planned enterprise directions and should not be included in purchasing or deployment decisions without confirming their status directly.

The current release supports local MCP servers and reusable local skills. Enterprise connector features are on the roadmap after local workflows have proven stable.

No. Writing, OCR, document review, screen recording, and agent tasks that do not require external tools all work without connectors. Add a connector only when a specific workflow needs access to a tool, service, or external system that Think-Act does not have access to by default.

No. Only enabled and healthy tools are exposed to the agent for a given run. If a connector fails, it is disabled and excluded from available tool calls until you fix and re-enable it. Review tool permissions and failure handling.

Yes, where configured. Sensitive workflows should use organization-approved local or private endpoints rather than unapproved services. Avoid sending secrets, tokens, private customer data, or regulated content to any tool your organization has not reviewed.

A failed connector is disabled and removed from the available tool list until you fix and re-enable it. It is not silently replaced by another tool. The execution history shows what happened so you can inspect the activity before deciding how to proceed.

No. Start with bounded workflows that have clear, verifiable outputs — rewriting text, extracting document fields, or recording a process. Keep confirmation gates enabled for file changes, messages, and external systems. Prove the workflow works before reducing approval steps. See task automation guidance.