We've all been there — staring at a blank page with nothing but a few scattered bullet points and vague ideas. The struggle is real. Fortunately, AI writing tools have become game-changers for content creators, and the latest addition to the toolkit is Dola AI. What's interesting here is that Dola goes beyond just image and video generation; it's also a capable writing assistant that can help you draft, refine, and optimize text to match your exact vision.
Beyond its photo editing and video creation capabilities, Dola AI functions as a writing partner. You can use it to support your writing process, polish existing drafts, and refine everything from word choice and length to overall tone and style. Start with a simple concept, and Dola will expand it into complete, coherent content. Then continue refining the language, structure, and voice until it hits your target. Here's the step-by-step breakdown.
Writing Content from Scratch Using Dola AI
Start by heading to Dola AI at the link below, then click on the Write tool to get going.
https://www.dola.com
Before diving in, clarify these key points:
What topic are you writing about?
Who is your intended audience?
What should readers take away from your content?
What format works best — blog post, social media caption, email, or something else?
What tone feels right — professional, conversational, or direct?
Once you've answered these questions, you're ready to craft your prompt.
The basic formula for generating content on Dola AI:
Topic + audience + goal + format + tone + specific requirements
For longer pieces, ask Dola AI to create an outline first:
I want to write an article about [X]. My audience is [X]. Please build an outline with an introduction, 3 main sections, and a conclusion. Organize the points logically, make them easy to follow, and keep them practical and actionable.
After reviewing and refining the outline, ask Dola to expand it into a complete piece.
Using the outline above, write a full blog post of around 1,000 words. Use a friendly, accessible tone that's suitable for AI beginners. Include real-world examples in each section and avoid repeating ideas.
From there, you can ask Dola to revise or improve any section that needs adjustment.
Refining and Enhancing Content with Dola AI
Already have a draft? Drop it directly into Dola AI and request specific edits tailored to your goals.
Use this straightforward framework:
Task + content to edit + audience + tone + elements to preserve
Paste your text into Dola and run this prompt to make the voice feel more natural:
Rewrite the text below to feel more natural and easier to read. Keep the core meaning intact, use shorter sentences, and avoid unnecessarily formal language.
When paragraphs run too long, Dola AI can trim the fat while preserving the important details.
Condense the text below to roughly 100 words. Keep the main ideas and essential information, and remove any redundant or unnecessary sentences.
The real concern is that identical content won't work everywhere — different audiences and platforms demand different voices. Fortunately, Dola AI can shift the tone without requiring a complete rewrite.
For example:
Rewrite the text below in a friendly, approachable, and easier-to-understand tone. Since your audience is beginners, minimize technical jargon.
Or:
Rewrite this in a professional, concise tone suitable for a LinkedIn article.
When your content is clear but lacks punch, ask Dola AI to strengthen the approach itself — not just swap out words.
Edit the text below to be more engaging and persuasive. Highlight the benefits for readers, but avoid over-the-top marketing language.
Description: Learn how to use Dola AI to generate, refine, and elevate your content from rough ideas to polished pieces.
AI design tools are reshaping how we build websites. GetLayers AI stands out by offering pre-made templates, 3D effects, interactive sections, backgrounds, and gradients that you can feed directly into your web development workflow. The real advantage? Each design comes with a ready-to-use prompt that you can copy into ChatGPT, Claude, Cursor, or Copilot to regenerate and customize the design exactly as you need it.
This guide walks you through using GetLayers AI to create stunning website interfaces powered by artificial intelligence. Whether you're building from scratch or just need to add a specific component, GetLayers simplifies the entire process.
What Is GetLayers AI?
GetLayers AI is a resource library specifically designed for AI-powered web design. The platform organizes design assets into five main categories:
Templates: Complete website and landing page designs ready to deploy.
3D Scenes: WebGL effects, particle animations, fluid simulations, terrain generation, and more.
Sections: Modular UI blocks like carousels, feature showcases, card layouts, and roadmaps.
Backgrounds: Both static and animated background elements.
Gradients: Interactive WebGL-based gradients that respond to cursor movement.
How to Build a Website Using GetLayers AI
Step 1: Access the Library
Head to the GetLayers AI website:
https://www.getlayers.ai/
Click on Library to browse the five resource categories. If you're building a complete website from scratch, start with Templates. Already have a site and just need to add specific components? Browse Sections, 3D Scenes, Backgrounds, or Gradients instead.
Each category displays design samples. Take time to review the options and find a template that matches your vision.
Important note: Free account users should look for templates marked as Free to access the complete prompt.
Step 2: Copy the Prompt
Once you've selected a template, click Copy prompt. You now have a professionally crafted prompt built specifically for that design layer.
Step 3: Feed It to Your AI Tool
Open your preferred AI design tool and paste the GetLayers prompt. Consider adding this instruction before the copied prompt:
Use this design in the prompt below to create a website introducing a [platform description].
Maintain the motion style and main layout structure. Change the primary color to [color]. Use Vietnamese for all content. Make the design responsive for desktop and mobile devices. Build using HTML, CSS, and JavaScript.
The AI now generates a website interface based on both the GetLayers foundation and your custom requirements. You'll see a live demo preview featuring the components from GetLayers. This is your chance to evaluate the output and request changes.
Review the demo carefully. If something isn't quite right, send follow-up prompts to refine it. You can also download the HTML file to test it locally for a better sense of how it performs.
Not satisfied with part of the design? Simply issue another command to make adjustments.
Important Tips for Using GetLayers AI
While GetLayers AI provides a wealth of design resources, keep these best practices in mind:
1. Use GetLayers as Inspiration, Not a Copy-Paste Solution
When previewing a layer, ask yourself if it truly fits your website's purpose. After pasting the prompt into your AI tool, customize the colors, content, images, typography, and layout to match your brand and goals.
2. Clearly Define Your Website's Purpose
Your prompt should explain what the website is for, who your target audience is, what style you want, and which colors best represent your brand. AI produces better results when given clear direction.
3. Don't Overload with 3D Effects
While motion and 3D effects certainly grab attention, what's interesting here is that simpler interfaces with less animation typically perform better. They're easier to scan, navigate, and understand. Heavy effects can actually hurt usability and load times.
4. Always Test on Mobile
After the AI generates your site, send it a prompt to optimize for mobile devices, then test it thoroughly. For any 3D effects, videos, or animations, check loading speed and compatibility on lower-end devices. Your website needs to work smoothly on both desktop and mobile—there's no excuse for a sluggish mobile experience anymore.
Description: Learn how to use GetLayers AI to generate professional website designs with pre-built templates, 3D effects, and AI-powered customization.
Seedance 2.5 delivers impressive video quality, but generating multiple versions can quickly drain your credit balance. That's where Dola Chat comes in—it offers a streamlined approach that lets you experiment with the model's video generation capabilities right within a familiar chat interface.
Want to test Seedance 2.5's video generation potential? Start with any image and transform it into an animated scene through Dola AI. In this walkthrough, we'll take a classroom photo featuring a teacher and students, then add detailed motion descriptions, facial expressions, and camera angles to help the AI craft a more natural-looking scene.
Creating Videos on Dola AI with Seedance 2.5
Step 1:
First, prepare the image you want to convert. In this example, we're using a photo of a teacher standing in front of a class. The key here is selecting high-resolution images with clear subjects and uncomplicated compositions—this makes it easier for the AI to process movement effectively.
Next, head to the website below and create an account to get started.
https://www.dola.com
Step 2:
In the chat window, select the video creation mode on Dola AI.
Now choose your video generation model. Keep in mind that selecting Seedance 2.5 will consume credits. Free accounts receive a starter credit allocation, which should cover one video generation.
Step 3:
Select your desired video length from the options provided.
Next, choose your video aspect ratio from the available formats.
Step 4:
Upload your image to Dola AI by clicking the plus icon, then enter your video generation prompt. Here's where the magic happens—be specific about how you want characters and the camera to move.
Don't waste time re-describing the entire image. Instead, focus on the actions, expressions, interactions, and camera movements you want to see.
The teacher smiles warmly while delivering the lesson, speaking and gesturing naturally to engage the class. A student in the front row raises their hand to answer; the teacher turns to look at them and nods encouragingly. Other students smile and watch attentively. The camera slowly moves closer to the teacher, then smoothly pans to the student answering the question. Facial expressions appear natural with engaged eye contact, hand gestures look authentic, and the overall classroom atmosphere feels warm and energetic. Keep the characters' original identities, faces, and clothing from the reference image.
Once your prompt is ready, review the reference image and all your video settings, then hit generate. Seedance 2.5 will now use your image and description to produce the corresponding video.
Step 5:
Wait a moment, and your AI-generated video will be ready to view on Dola AI.
Not satisfied with the results? Refine different elements in your prompt to dial in the perfect output. For instance, if characters move too dramatically, ask for smoother, more natural motion. If the camera shifts too much, explicitly request stable framing.
One thing to note: you'll need to wait until the next day for your free account credits to refresh. Once you're happy with your video, click the Download button to save it.
Description: Master Seedance 2.5 video generation on Dola AI. Step-by-step guide to transform images into dynamic videos with detailed prompts.
Among the growing ecosystem of AI tools for creative work, Dola AI stands out for consolidating multiple capabilities into one platform. Instead of juggling different apps for content, images, and videos, you get everything in one place. What's interesting here is how Dola handles both image generation and editing through the same interface—something that still trips up many competitors.
One of Dola's standout features is the ability to generate images from text descriptions and edit them on demand. Rather than designing from scratch, you simply describe your vision with specific instructions and let the AI bring it to life. Here's how to get started.
How to Generate AI Images on Dola
Step 1:
Head to Dola through the link below. Scroll down to the chat section and tap on the Image Generation tool.
https://www.dola.com/chat/
Step 2:
In the chat window, select your image generation model. Dola integrates multiple models including Seedream 5 Pro and Seedream 4.5, both capable of generating images from natural language descriptions and performing complex edits.
Seedream 4.5: Excels at creating and editing images with high consistency. It performs best with reference images, multiple subjects, and text-heavy content.
Seedream 5 Pro: The newer generation with stronger prompt comprehension. It understands complex layouts, precise edits, and professional designs like posters, infographics, and information-dense visuals.
Basically, 4.5 prioritizes consistency in generation and editing, while 5 Pro shines when handling intricate ideas and detailed control over modifications.
Fair warning: using Seedream 5 Pro will consume your daily free credits faster.
Step 3:
Choose your image dimensions. Here's where Dola gets thoughtful—each size option includes a description of its ideal use case, making it easy to pick the right format for your purpose.
Next, click on Style to access the style menu.
Dola also provides preset image templates to jumpstart your work. Hit Try to use a template's existing prompt as your foundation, then customize it with your own ideas.
Step 4:
Finally, enter your image prompt and send it to Dola. Here's an example prompt:
Create an advertising photo of a matcha latte served on a wooden table inside a Japanese-style café. Morning sunlight streams through the window. Color palette of sage green and cream. Minimalist composition, premium feel, authentic product photography, natural lighting, high detail, 4:5 portrait orientation.
Wait a moment and Dola AI will return four different image variations for you to choose from.
Click any image to download it. Note that generated images will carry a Dola AI watermark.
Beyond standard image generation, Seedream 5.0 Pro can also produce infographics, storyboards, blueprints, UI mockups, and information-rich visuals. One heads-up: if your prompt contains Vietnamese text, Dola currently has font rendering issues, so plan accordingly.
How to Edit Images on Dola AI
Once you have a base image, you don't need to start from scratch to make changes. Simply describe your edits through text commands and Dola applies them.
For example, try this editing prompt:
Keep the matcha latte and main composition unchanged. Replace the wooden table with a white marble surface. Add a small plate of matcha pastries beside the cup. Increase natural light while maintaining the minimalist, premium aesthetic.
And here's the result after applying your edits:
When editing, split your request into two parts: what stays and what changes. For instance: "Keep the product and composition. Change the background and lighting." This approach prevents the AI from accidentally modifying elements you want to preserve.
Description: Learn how to create and edit images with Dola AI. Step-by-step guide covering model selection, prompts, and editing techniques.
DeepSeek Harness is built to accomplish specific tasks—not just answer questions. Think of it as the glue between an AI model and the outside world. This open-source agent runtime connects your language model to file storage, command terminals, tools, and session history. When asked to fix a bug, it can automatically inspect files, modify code, run tests, and respond when commands fail. A single model call alone can't do any of that.
Here's what makes this interesting: Harness treats the runtime architecture itself as a first-class concern. DeepSeek Harness packages model adapters, tools, sessions, sandboxed environments, and agent loops as pluggable components orchestrated by Cordis. The model isn't the whole agent—it's just one piece of it.
Fair warning: this isn't production-ready yet. Harness is currently in developer preview, which means APIs can change between releases and security validation is incomplete. We'll cover these limitations alongside the system architecture and how it compares to Claude Code, Codex, and OpenCode.
DeepSeek Harness (abbreviated dsh) is an open-source agent harness from DeepSeek AI, released under the MIT license. It sits between a language model and the external world, providing tools, sessions, sandboxed execution environments, and agent loops to keep task execution moving forward.
DeepSeek's core definition is simple: "Agent = Model + Harness". The model handles reasoning and content generation. The harness contains everything that lets that reasoning actually impact real file systems and continue working without requiring users to re-explain the task at each step.
The whole system runs on Cordis—a plugin framework that predates DeepSeek Harness. Cordis lets you swap components independently. This architecture leads to two common misconceptions.
DeepSeek Harness Isn't an AI Model
The model and runtime are separate layers. This separation means you can switch service providers without touching your tools or session configuration. The same runtime can use DeepSeek, Anthropic, OpenAI, or any OpenAI-compatible endpoint. They're interchangeable.
DeepSeek Harness Isn't Just a Coding Assistant
The Standard mode makes it look like a code-focused tool, but that's just one configuration option. Minimal and Creator modes change what the agent can access. Building a custom configuration requires actual programming—developers get direct access to system components.
How Cordis Organizes DeepSeek Harness Plugins
Cordis is the plugin framework underneath DeepSeek Harness. Each component requests services without being locked into any specific provider's code.
Cordis originated in the Koishi chatbot ecosystem and was developed by a programmer known as Shigma. DeepSeek adopted and extended it. The designers documented this approach in a research paper called "A Programming Paradigm for Spatiotemporal Composability." The academic framing sounds dense, but the actual mechanism is surprisingly straightforward.
Everything Is a Plugin
DeepSeek's architecture documentation states you extend dsh by adding new plugins alongside existing ones. Model adapters, tools, sessions, sandboxes, storage systems, schedulers, agent loops, and the UI are all plugins.
Taken literally, the slogan oversells itself a bit. Cordis itself acts as the required foundation below these plugins. The system loads and unloads plugins, verifies their requirements, and operates the events they use to communicate. Cordis isn't optional—it's mandatory infrastructure.
Spatial Composability Manages Plugin Dependencies
A plugin declares which services it needs without requiring users to manually set startup order. It activates when those services exist and stops if a required service disappears. Dependencies tell Cordis where each component belongs, so developers don't have to hand-order the boot sequence.
DeepSeek calls this spatial composability. Dependencies communicate position, not execution timing.
Temporal Composability Reverses Plugin Effects
Cordis also tracks registrations like event listeners, prompt sections, and tool schemas. Removing a plugin cleans up those registrations instead of leaving orphaned listeners behind. This reversal applies to effects Cordis directly tracks—not external actions like shell commands. You can't undo a deleted file, but you can undo the registration of the tool that might delete it.
DeepSeek Harness Architecture: How the Runtime Works
A running instance is a tree of plugins built from configuration files loaded in a specific order. These configs determine which components are active.
Cordis connects every replaceable plugin in the runtime environment
Cordis Services Let Plugins Find Each Other
Cordis provides a shared service registry. Plugins use fixed keys like ctx.tools, ctx.llm, and ctx.sessions instead of importing code from a specific provider. A tool calling ctx.llm doesn't need to know which model adapter is running behind it.
Agent Presets and Runtime Profiles Control Different Layers
If everything is replaceable, you still need a mechanism deciding what gets loaded for any given run. DeepSeek Harness solves this at two layers that are easy to confuse.
Quick summary: A profile controls how the program starts up. A preset controls what the agent can do. If you're just using the web app, skip the next two sections.
Runtime Profile
Runtime profiles (templates include web, headless, sdk, sdk-minimal, and acp) determine how the application launches and which groups of Cordis plugins load at startup. Most users interact with this only through commands like dsh web.
Agent Preset
Agent presets (Standard, PTC, Minimal, or Creator) determine what an active session can access. A patch file can change presets without touching Harness source code.
Agent Loop Orchestrates Turns, Steps, and Tool Calls
DeepSeek distinguishes between "steps" and "turns." A step is one model request plus its accompanying tool calls. A turn contains zero or more steps—it starts before accepting input and ends when no tasks remain. Most turns execute multiple steps before the agent can respond. A rejected input ends the turn even without any steps.
One turn can span multiple steps
Sessions Use Append-Only Event Logs
This is the critical piece. Sessions are append-only event logs, not arrays of chat messages. Harness reconstructs model history from that log, and session documentation requires anything sent to the model to be recoverable from it.
Continuation, branching, search, replay, and Trajectory view all build on that event stream. Reconstructing history isn't deterministic replay—model outputs and external state can differ. But the log still provides an auditable record of what happened.
Session history is an append-only event log
How DeepSeek Harness Controls Tools and Sandboxing
Models can request tools by name, but they can't execute them directly. Two separate control mechanisms sit between the model's request and actual file system changes.
Tool Execution Process
Tool calls go through distinct steps: policy check, execution, and result handling. The model chooses the tool. The runtime decides whether it runs and how it runs. This separation is deliberate.
The runtime environment decides how tools operate
Sandboxing vs. Approval Mechanisms
Approval is a human checkpoint confirming an action.
Sandboxing limits the scope and method of executing that action.
DeepSeek separates these two mechanisms, even though preset permission configurations often combine both controls—similar to how container runtimes separate process permissions from execution boundaries.
Asking the model to "only read files" in the system prompt is just guidance the model might follow. It's not a hard security boundary like OS-level sandbox restrictions.
Conclusion
The most memorable insight from the start is this: the model provides reasoning, but the runtime determines what reasoning can reach and accomplish. DeepSeek Harness lets you reshape the runtime—from model adapters and tools to session storage and agent loops.
That control comes with responsibility. Replacing more of the runtime means owning more of its configuration, versioning, and security boundaries. A developer preview with shell access isn't something you install and forget.
Here's the practical takeaway: Use DeepSeek Harness when the runtime environment itself is part of your work. If you just need to fix a code repository, a pre-built agent requires less overhead.
Description: DeepSeek Harness is an open-source agent runtime that bridges AI models with real-world systems. Learn how it differs from AI models and why developer
ChatGPT can now pull up Google Docs, Sheets, and Slides right inside your conversation—letting you analyze documents without the tab-switching hassle. It's a genuine workflow improvement for anyone juggling multiple tools.
Once you connect the Google Drive plugin to ChatGPT, your Drive files and folders appear directly in ChatGPT's library, including anything shared with you. You can drag files into conversations or reference them with the @ symbol—no re-uploading needed. The document then opens alongside your chat while ChatGPT summarizes, analyzes, compares, or drafts new content based on what you're viewing. Here's how to get it set up.
Connecting Google Drive to ChatGPT
Note: This feature rolls out to Plus, Pro, Business, and Enterprise accounts. Free users can still upload files to ChatGPT manually, but can't open documents in the side-by-side view.
Step 1:
In ChatGPT, click the Plugins section on the left side of your screen.
Find Google Drive in the plugin list, then tap the plus icon to activate it.
Step 2:
A connection screen appears showing all Google services that will connect to ChatGPT. Click Connect with Google.
You'll be directed to a permissions page for ChatGPT to access your Google Drive.
Step 3:
Select the Google account you want to link to ChatGPT, then click Continue.
Review the permissions ChatGPT is asking for, check the boxes, and hit Continue.
Done. Your Google Drive is now connected to ChatGPT.
Accessing Google Docs Inside ChatGPT
Step 1:
After successfully connecting Google Drive, type @ in the chat box. ChatGPT will show available documents from your Google Docs, Sheets, and Slides. You can search by document name or email.
Now type your request in the chat—ask ChatGPT to summarize, edit, or analyze the document as you normally would.
Step 2:
ChatGPT generates its analysis of your document.
Click the document name in the chat, and the Doc opens on the right side of your screen. This is where things get useful—you can read the original while ChatGPT's suggestions appear on the left.
Step 3:
You can work with other files the same way. Let's say you want to analyze a presentation.
Ask ChatGPT to summarize slides, extend content, make edits—whatever you need. Your presentation opens on the right, and you chat on the left, all in one view.
Pair the right document with a clear prompt, and ChatGPT becomes a much more effective partner for working with Google Docs, Sheets, and Slides.
Managing Your Google Drive Connection
You can modify or disconnect your Google Drive access anytime.
Step 1:
Go to Plugins and click the three dots next to Google Drive. Select Uninstall to disconnect, or Manage to adjust settings.
Step 2:
The Google Drive management screen shows your connected apps. You can toggle off ChatGPT's access to specific Google services from here.
To disable access, slide the toggle to the left.
Step 3:
Scroll to the Permissions section to adjust ChatGPT's default access levels.
Fine-tune what ChatGPT can do with your Google Drive files based on your preferences.
Common Questions
Do I need ChatGPT Plus to open Google Docs in ChatGPT?
Yes. The side-by-side document view requires a paid account. The feature currently supports Plus, Pro, Business, and Enterprise tiers on the web version.
Can ChatGPT edit Google Docs directly?
Not yet. ChatGPT can read your document and draft content in the chat, but you'll typically need to copy and paste results back into your Doc manually.
Does this work on the ChatGPT mobile app?
Not yet. This feature is currently limited to the web version.
Can ChatGPT see all my Google Drive files after connecting?
ChatGPT can access files in your My Drive and files explicitly shared with you when you reference them in conversation. Team Drives aren't supported yet.
Uploading Google Drive Files on Android
Step 1:
In the ChatGPT Android app, tap the plus icon next to the message box, then tap the folder icon.
Step 2:
You'll see options for files stored on your phone. Tap the Drive icon to access your cloud storage. You're now in Drive's file browser.
Step 3:
Navigate to the folder containing the file you want to upload, then select it. Your Google Drive file is now ready to use in ChatGPT.
Uploading Google Drive Files on iPhone
Step 1:
In the ChatGPT iPhone app, tap the plus icon, then select Attach File.
Step 2:
The Files app opens on your iPhone. Tap Browse to access your storage locations. Then tap Drive to open your cloud files.
Step 3:
You'll see your Drive files. Choose the one you want to upload to ChatGPT.
Your Google Drive file uploads to ChatGPT. Now type your question or request for what you want to do with it.
Video Tutorial: Uploading Google Drive Files to ChatGPT
Description: Learn how to access Google Docs, Sheets, and Slides within ChatGPT conversations without switching tabs. Step-by-step setup guide included.
