TARS AI 2.0: Your AI-Powered Document Assistant

Starting From Scratch Is Hard

You open a blank resume template. The cursor blinks in an empty text field. Now what? Do you describe your last job as "managed projects" or "led cross-functional initiatives"? Should your skills section list "JavaScript" or "Full-stack web development with React, Node.js, and TypeScript"? Every blank field is a writing challenge, and writer's block doesn't care if you're filling out a form.

Even worse: you already have a resume, or a 100-page contract, and you just need to update a few things. Scrolling through, hunting for the right paragraph, and manually reformatting is tedious, error-prone, and unnecessary.

Meet TARS AI 2.0

TARS (named after the helpful robot from Interstellar) is the intelligent AI assistant built into DocMiral. TARS 2.0 doesn't just fill in blanks, it understands your documents: their structure, their layout, their data, and even where your cursor is. It reads documents the way an editor would, and edits them the way a careful collaborator would: making a precise change, explaining it, and letting you review it before it's final.

Below is a full tour of what TARS can do today.

Large-Document Intelligence

Long documents used to be a problem for AI assistants: either the whole document gets crammed into a prompt (slow, expensive, and easy to lose track of), or the assistant only "sees" a small window and misses context. TARS solves this with a locate-first retrieval pipeline. Instead of shipping your entire 100-page document to the model on every message, TARS first finds the specific regions relevant to your request, semantically indexing the document so it can pull exactly the right section, even when your wording doesn't match the document's wording.

The result: TARS stays fast and accurate on short letters and long reports alike, without ever losing sight of the document as a whole.

Attention: TARS Sees Where You're Looking

TARS tracks your selection and cursor position in the editor as an "attention" layer. Highlight a paragraph and ask TARS to tighten it up, and TARS knows to act on exactly that paragraph, not go searching the rest of the document. Just place your cursor and ask a question, and TARS biases its understanding toward the surrounding text.

Select text and a quick-actions menu appears right there, letting you ask TARS to rewrite, expand, translate, or adjust tone on that exact selection in one click, no need to type out the request.

Data & Layout Awareness

TARS understands documents as more than plain text. It's aware of your MiniApps schema, so it knows that work-experience entries need company names, dates, and achievements, that product lists need quantities and prices, and that education sections need degrees and institutions. It can fill data into a template, customize the template's design, or do both together, and it knows the difference between the two kinds of requests.

TARS also understands page layout. For example, it knows how to keep a block of content, like a table or a signature section, from being awkwardly split across a page break when your document is rendered to PDF, and can apply that when it edits or generates layout.

Precise, Reviewable Edits

TARS never silently rewrites your whole document. Edits are expressed as small, targeted changes, anchored to the exact text they affect, then shown to you in a track-changes style review: old text struck through, new text highlighted, with accept or decline available per change. Nothing is finalized until you approve it.

Ask for a literal find-and-replace ("rename every mention of Acme Corp to Acme Inc.") and TARS hands it to the editor's own find & replace so the whole document is covered consistently in one confirmed action, instead of only whatever fraction an AI edit happened to touch.

Multi-Step Plans

For bigger requests, TARS can break the work into a checklist of steps, show you the plan, and run each step only when you click it. You stay in control of the pace, can retry any step that didn't go the way you wanted, and can cancel the plan at any point, with a clear summary of what was completed.

Smart Cloning: Your Documents, Reimagined

One of TARS's original superpowers is still one of the best: smart cloning. Say you have a resume from last year and you're applying for a senior role somewhere new. Instead of starting from scratch, just ask:

TARS reads your existing document, understands its structure and content, and intelligently generates a new version, keeping your core information while adapting tone, emphasis, and specifics to your new goal. What would take an hour of manual editing takes seconds.

Real-World Examples

Scenario 1: A 40-page contract, one clause
You need to update the liability clause buried on page 22. Highlight it, ask TARS to make it more favorable to your side, and review the suggested change inline, no scrolling, no re-reading the whole contract.

Scenario 2: Multiple job applications
You're applying to five companies with different focuses. Clone your base resume five times, each time asking for a different emphasis: "highlight data science projects," "focus on team leadership," "emphasize startup experience." Five tailored resumes in minutes.

Scenario 3: Rebranding a proposal
A client rebrands mid-project. Ask TARS to replace every mention of the old name with the new one across the whole document in one confirmed sweep.

Scenario 4: A multi-part report
You need TARS to update the executive summary, regenerate a data table, and adjust the conclusion. Let TARS turn that into a checklist, then step through each item, reviewing as you go.

Chat-Based Assistance

Beyond editing, TARS is available to chat whenever you need help. Stuck on how to phrase something? Ask TARS. Not sure what to include in a section? TARS can suggest content based on best practices, or just answer questions about what's already in your document, grounded in the actual content rather than a guess.

Beyond the Editor: API & MCP

TARS's document intelligence isn't limited to the DocMiral editor. Through our API and MCP server, you can connect Claude, GPT-4, or any MCP-compatible client to programmatically design, update, and optimize templates using natural language instructions, right from your own tools and workflows.

Built on Advanced AI

TARS leverages state-of-the-art language models to understand natural language, maintain context across conversations, and generate high-quality content. But you don't need to understand the technology to benefit from it, TARS just works, seamlessly integrated into your DocMiral workflow.