LLM
The language engine. A large language model learns patterns from enormous collections of text, then constructs a response one piece at a time. It can sound certain and still be wrong, so important facts deserve checking.
Plain English first
Three words people keep mixing together.
You do not need a computer-science degree. You just need to know which part is the engine, which part you talk to, and which part has an actual job.
Chatbot
The interface and behavior wrapped around an LLM. It gives you the chat window, file uploads, voice, web search, saved conversations, safety rules, and whatever personality the company chose.
Agent
An AI system built for a specific job. It combines a model with instructions and may also use files, memory, tools, approvals, or a schedule to complete a multi-step workflow.
Brainstorm and planWrite and reviseSummarize filesResearch with sourcesBuild storiesLearn subjectsGet coding helpAutomate repeatable work
Beyond text
AI can help create voices, images, and video too.
Chatbots can help plan the work and may connect to creative generators, but the language model is not doing every job by itself. Voice, image, and video generation usually rely on separate models built for those formats.
Voice
AI voice tools can narrate writing, create character voices, translate speech, clean recordings, or turn text into audio. Quality, usage rights, cloning rules, and pricing vary by service.
Images
Image models can create new artwork and realistic scenes, edit pictures, remove objects, change backgrounds, or produce variations from a reference. Results still need human review.
Video
Video models can animate an image, generate short scenes, create effects, or help assemble a larger project. They have limits: motion, faces, continuity, clip length, and exact control can still go sideways.
Local hardware versus the web
Running creative models offline can require a powerful graphics card, plenty of VRAM, storage, memory, electricity, and patience. An older or underpowered computer may run them poorly—or not at all. Web-based tools use the provider’s hardware, so they can work from a modest computer through a browser, although subscriptions, credits, queues, and service limits may apply.
The law still applies.
AI does not make illegal content legal. Do not use it to create unlawful sexual content, abuse imagery, fraud, impersonation, harassment, nonconsensual intimate material, or anything else prohibited by law. Copyright, privacy, consent, publicity rights, and platform rules still matter too.
Start with your objective
Do not choose a tool before you know the job.
The best AI depends on what you want to accomplish, how private the material is, how much setup you will tolerate, and whether you need current information.
Write, plan, or brainstorm
Start with a general cloud chatbot such as ChatGPT, Claude, or Gemini. Try the same real task in two services and keep the one whose answers and workflow suit you.
Research current information
Use a tool with live web search and visible sources. Perplexity, ChatGPT, Gemini, Claude, and others offer search features—but citations still need to be opened and checked.
Work with long documents
Choose a chatbot that accepts your file type and can keep enough of the document in context. Ask it to quote the relevant section so you can verify the answer.
Keep sensitive work private
Consider a local model or an approved business service with suitable data controls. “Private” depends on where the model, files, search, and connected tools actually run.
Create images, audio, or video
Use a service designed for that medium. A chatbot may help write the prompt or plan the project, but the creative generator is usually a separate model and tool.
Repeat a specialized job
Build an agent only after the task is clear. Give it focused instructions, the right sources, limited tools, and a way for a person to review important actions.
The cloud lineup
Eight major chatbots. Eight different tradeoffs.
Cloud AI is easy to start and usually gives you the strongest new models first. The price of that convenience can be subscriptions, changing limits, internet dependence, and less control over how the service changes.
| Chatbot | Especially good at | Best for | Web | Files & images | Custom workspace | Access | Main catch |
|---|---|---|---|---|---|---|---|
| ChatGPT | Broad creative work, analysis, coding, images, voice | People wanting one flexible all-rounder | Yes | Yes | Projects and custom GPTs | Free + paid | Limits and available models vary by plan; the product changes often |
| Claude | Long documents, writing, analysis, coding | Writers and substantial source material | Yes | Analyzes images; no native photo generation | Projects and Artifacts | Free + paid | Usage caps can arrive quickly during long, heavy sessions |
| Gemini | Google ecosystem, multimodal work, research | People using Gmail, Docs, Drive, and Android | Yes | Yes | Gems and Google integrations | Free + paid | Features differ by country, account type, and Google plan |
| Microsoft Copilot | Windows and Microsoft 365 assistance | Word, Excel, PowerPoint, Edge, and Windows users | Yes | Yes | Agents on eligible products | Free + Microsoft 365 options | “Copilot” covers several products with different features and licenses |
| Perplexity | Fast web research with visible citations | People wanting an answer engine | Core feature | Yes | Spaces | Free + paid | A citation can exist and still fail to support the exact claim—open it |
| Meta AI | Casual help, social apps, quick image creation | WhatsApp, Instagram, Facebook, and Messenger users | Yes | Images | Varies by account and region | Free | Deep work and control are not its main strength |
| Grok | Current conversation, web and X context, blunt style | Fast-moving topics and public chatter | Yes, including X | Yes | Varies by product | Free + paid X/xAI options | Real-time social posts are not the same as verified facts |
| Mistral Le Chat | Fast multilingual chat, documents, business options | People wanting a strong European alternative | Yes | Yes | Varies by plan | Free + paid | Smaller consumer ecosystem than the biggest platforms |
Useful features people often miss
ChatGPT
Search, Deep Research, Projects, Canvas, custom GPTs, scheduled tasks, advanced data analysis, voice, and image generation.
Claude
Claude Code, Claude Design, Artifacts, Projects, Research, file creation, connectors, and image analysis. Regular Claude chat does not generate photos or illustrations.
Gemini
Deep Research, Gems, Canvas, image and video generation, Audio Overviews, and Google Workspace connections.
Microsoft Copilot
Pages, Notebooks, agents, Designer image generation, voice, and connections with Word, Excel, PowerPoint, Outlook, and Windows.
Perplexity
Pro Search, Deep Research, Projects, file analysis, image and video generation on eligible plans, and the Comet browser.
Meta AI
Voice conversations, image generation and editing, social sharing, recommendations, and integrations across Meta apps.
Grok
Real-time web and X search, DeepSearch, voice with camera vision, coding, image generation, and video generation.
Mistral Le Chat
Deep Research, Canvas, project folders, image generation, agents, code tools, and custom connectors.
The honest comparison
Cloud is convenient. Local gives you control.
Local AI is not automatically better. It swaps easy access and top-tier cloud power for privacy, flexibility, predictable use, and ownership of the setup.
| Question | Cloud AI | Local AI |
|---|---|---|
| Privacy | Prompts and files are processed on the provider’s systems under its policies | Chat can stay on the computer when fully local models and tools are used |
| Internet | Normally required | Often not required after software and models are downloaded |
| Hardware | The company supplies it | Your computer sets the limits; GPU memory matters |
| Speed | Usually fast, but affected by service demand and plan priority | Depends completely on model size and your hardware |
| Model quality | The best cloud systems usually lead on difficult reasoning and polished multimodal work | Excellent for many everyday tasks, but smaller models may miss nuance |
| Setup | Create an account and start | Install a runner, download models, and connect an interface |
| Ongoing cost | Free tiers, subscriptions, or metered API use | No per-message bill after setup; electricity and hardware still count |
| Usage limits | Plan limits, rate limits, or credits | No company message allowance; practical limits come from time, storage, heat, and hardware |
| Images and video | Easy, polished, often credit-based | Separate models and workflows; more setup and more control |
| Customization | Limited to features the provider exposes | Choose models, prompts, memory, interfaces, workflows, and storage |
| Restrictions | Service rules and filters can change | You control the software, but models can still carry behaviors learned during training |
Trying local AI
There is more than one way to begin.
Local AI runs models on your computer rather than a provider’s server. The right setup depends on the task, available hardware, and preferred level of control.
01Fastest start
Easiest all-in-one local chat
LM Studio lets you find compatible language models, download one, and chat in a desktop app. It is a straightforward first look at local AI without assembling several programs.
02More control
Flexible private chat workspace
Ollama can run the language model while Open WebUI provides the chat interface. This route makes sense when you want more control, multiple users, or integrations.
03Visual creation
Local image or video workflows
ComfyUI is built for visual generation, not ordinary chat. It offers detailed control through reusable workflows, but it has a steeper learning curve and heavier hardware demands.
04Most flexible
A practical mixed setup
Use cloud AI for demanding or current work and local AI for privacy, experimentation, or repeat jobs. Many people use both.
LM Studio
An approachable desktop app for finding and running local language models.
Official siteOllama
A local model runner that other chat interfaces and applications can use.
Official siteOpen WebUI
A customizable chat interface that can connect to local or supported cloud models.
Official siteComfyUI
A node-based system for local image and video generation workflows.
Official siteJan
An open-source desktop app for chatting with local models and compatible services.
Official siteGPT4All
A desktop option for running compatible local language models and working with documents.
Official siteBefore downloading a model:
Check the app’s system requirements, available storage, and the model’s size. Local models vary widely in speed and quality, and a model that technically opens may still run too slowly to be useful.
Better prompting
Give it a clear job and enough context.
Include the goal, relevant background, important limits, and the desired format.
GoalContextConstraintsOutput
State the goal
“Help me compare three newsletter platforms for a small paid publication” is more useful than “Tell me about newsletters.”
Add the relevant context
Include the audience, budget, existing tools, deadline, or source material that changes the answer.
Set real constraints
Say what must be included, avoided, verified, kept private, or limited by time, money, length, or skill level.
Request a useful format
Ask for a checklist, table, draft, plan, questions, or first three actions. Make the answer easy to use after the chat ends.
A strong starter prompt:
“I want to [goal]. Here is the relevant background: [context]. Keep these limits in mind: [constraints]. Give me the answer as [format]. If information is missing, ask me before assuming.”
AI agents
A chatbot answers. An agent completes a workflow.
An agent is a system, not a special kind of model. It uses an LLM to decide what to do next, works through multiple steps, and may read information, call tools, save results, or request approval before taking an action.
What makes it an agent
- GoalThe specific result it is responsible for producing.
- ModelThe LLM that interprets the request, reasons through the task, and chooses the next step.
- InstructionsThe rules, limits, tone, process, and conditions for stopping or asking for help.
- Knowledge and memoryApproved files, databases, previous results, or facts the agent is allowed to use.
- ToolsSearch, calendars, code, email, business software, or other services the agent can operate.
- Trigger and reviewA person, schedule, or event starts the work; important actions can require human approval.
Examples
GoalInstructionsKnowledgeToolsReview
Begin with one repeatable task.
Add memory, web access, email, payments, or permission to change records only when the workflow requires them.
Privacy, accuracy, and limits
Useful does not mean infallible.
AI can save time and still invent facts, miss context, reflect bias, expose information through careless sharing, or produce work you cannot legally or ethically use as-is.
Check important claims
Verify medical, legal, financial, safety, and current-event information with qualified or primary sources. Confidence is a writing style, not proof.
Protect private information
Do not paste confidential, identifying, client, financial, or unpublished material into a service until you understand its settings and data policy.
Review before you publish
Check names, dates, sources, tone, originality, permissions, and whether the result actually says what you meant.