TJP

The best AI tools in 2026: what to use for websites, design, images, video, and knowledge


02.09.2026 – Author:

When people ask me which AI tool they should use, I always answer with a question of my own: for which task, exactly? There is no single best AI tool. There are only good fits for specific jobs. So this is not a ranking. It is a selection by task.

For each category, I look at a small number of tools, three to four at most. For each tool, I briefly describe what it is good for, where its particular strength lies, where its real limit is, and when I would choose it over the alternatives in its category.

Status: September 2026. This market moves fast. Names, features, availability, and terms of use change constantly, so please re-check current prices and conditions directly with the vendors before you commit to anything.

The quick overview

If you only have thirty seconds, here is the short version:

Task Recommendation
Build a working web app quickly Lovable
Work on an existing software project Claude Code, Codex, or OpenCode (model-agnostic)
Generate images Midjourney for best results, GPT Image or Nano Banana for quick, dialogue-based edits
Create vectors, icons, and brand assets Recraft
Create realistic video with sound Google Veo, for creative video editing: Runway
All-round AI assistant needs Claude (writing), ChatGPT (generalist), Gemini (Google Workspace)
Research and document analysis Perplexity (sources), NotebookLM (your documents)
Create voices and language versions ElevenLabs
Create music for commercial content Stable Audio
Create a presentation quickly Gamma (directly in PowerPoint or Google Slides: Plus AI)

1. Websites and web apps

Lovable: for fast MVPs without a full development team

You want to turn an idea into a usable web app without putting together a full development team. That is Lovable's territory. It is aimed at founders, product managers, and smaller teams, and it combines frontend, application logic, hosting, database, authentication, and integrations in one place. Its strength is the short path from prompt to working application. Its limit: complex business logic, security, and long-term maintenance still require a technical review.

Use Lovable when you want to test a complete MVP as quickly as possible.

v0: for developers in the React, Next.js, and Vercel ecosystem

You want to build a visually strong web application as a real Next.js project. v0 has long outgrown its origins as a component generator: it can now plan applications, connect databases, sync GitHub repositories, and publish directly to Vercel. Compared with Lovable, v0 is the better fit when you want to keep developing the result as a proper codebase, while Lovable is aimed at people who want to build as completely as possible inside one tool. The limit: v0 is tightly bound to the Vercel and Next.js ecosystem, and for non-technical users Lovable is often the easier choice.

Use v0 when a visually strong web application should be developed further as a real Next.js project.

Figma Make and Google Stitch: from UI design to prototype

You want to go from a screen design to a working prototype rather than build a complete application. Figma Make is the right tool for teams that already work with Figma files, components, and design systems. Google Stitch is the right tool for quick screen drafts and early UI exploration. Both start at the interface rather than at complex business logic.

Use Figma Make if your design process already lives in Figma. Use Stitch if you first want to try out different UI directions.

2. Vibe coding and software development

Claude Code: for complex changes in existing codebases

You need to implement larger features, refactors, bug fixes, or tests across several files of an existing project. Claude Code understands extensive code relationships and sustains long, connected tasks. Its limit: heavy usage can get expensive, and every result still needs to be tested and reviewed.

Use Claude Code when difficult development tasks should be handled with as little micromanagement as possible.

Codex: for parallel agent work

You want several engineering tasks handled at the same time. Codex is available in ChatGPT, as an IDE extension, and via the command line. It suits parallel tasks, reviews, migrations, and recurring background work. Its strength is multi-agent workflows and its good integration into OpenAI products.

Use Codex when you want to work on several engineering tasks simultaneously, or when ChatGPT is already your central work tool.

OpenCode: for model choice, openness, and cost control

You don't want to commit to a single model provider. OpenCode is an open-source agent for the terminal, desktop, and IDE that supports many providers and local models. With a model router, you can use cheaper models for simple tasks and stronger models for complex ones. The limit: setup and model selection require technical understanding.

Use OpenCode when you don't want to lock yourself into one model provider.

Cursor: for an integrated AI IDE

You want AI built directly into your editor. Cursor combines a code editor, agents, CLI, reviews, and cloud tasks, and it is an easy entry point for developers who want AI in their daily environment. One ownership note: Cursor has belonged to SpaceX since 2026. That ownership structure can be an ethical or strategic selection criterion for teams.

Use Cursor when you want a complete AI IDE and the ownership structure is not a dealbreaker for you.

If your team already lives in GitHub and a standard IDE, GitHub Copilot is the lowest-friction way to introduce AI coding without changing tools or workflows.

3. UI design and brand assets

One to watch: OpenDesign is an open-source, BYOK vibe-design workspace that plugs different coding agents into existing design systems. It is a concrete example of interfaces and models coming apart, as described in the final section.

Figma agent and Figma Make: for product design in teams

You design products collaboratively and want AI inside that process, not around it. Figma agent supports generating and editing designs as well as recurring work. Figma Make translates designs and prompts into interactive, code-based prototypes, and Figma Motion extends this into animated interface work within the same environment. The strength: collaboration, components, and the design system stay within the existing Figma process. The limit: AI does not replace UX research, critique, and design judgment.

Use Figma when design is already organized as a shared team process.

Recraft: for vectors, icons, and cohesive asset sets

You need illustrations, symbols, campaign visuals, or vector graphics that belong together. Recraft's strength is editable output and consistent visual styles.

Use Recraft when assets need to fit into a corporate design and be edited further.

Adobe Firefly: for Creative Cloud and agency workflows

Your team works with Photoshop, Illustrator, and other Adobe products. Firefly's strength is its integration into existing production pipelines and more predictable commercial use. Indemnification and usage rights depend on the product and the plan.

Use Firefly when handoff, rights clarity, and Adobe integration matter more than maximum stylistic surprise.

Canva Magic Design: for marketing production at scale

Many people need to produce on-brand content quickly: social media, presentations, recurring campaign formats. Canva's strength is its low entry barrier, templates, and brand kits. The limit: it is no substitute for developing a distinctive corporate design.

Use Canva when many people need to produce brand-compliant content quickly.

4. Image generation

Midjourney: for art direction and distinctive visual worlds

The visual idea matters more to you than a fully integrated workflow. Midjourney is strong at atmospheric images, unusual styles, and high-quality single images, useful for moodboards, key visuals, and visual exploration. Its weakness: it is less tightly integrated into typical production and enterprise workflows.

Use Midjourney when the visual idea is more important than the integrated workflow.

GPT Image and Nano Banana: for dialogue-based image editing

You want to iterate on an image through several rounds of correction: mockups, illustrations, motifs with fine adjustments. GPT Image lets you create, discuss, and change images within the same ChatGPT conversation. Nano Banana does the same inside Gemini and other Google services, and it tends to be cheaper and faster for variants and contextual changes. Neither aims for Midjourney's visual ambition; both aim for speed and simple back-and-forth edits.

Use GPT Image or Nano Banana when you want to give precise change instructions in natural language, and pick whichever assistant is already your daily tool.

Recraft or Ideogram: for design assets and typography

You need design assets rather than photographic images. Recraft is the tool for vectors and reusable design assets (see above). Ideogram is particularly strong for posters, packaging drafts, and motifs with visible text.

Use Recraft for editable assets, and Ideogram when type is part of the image.

5. Video and motion design

Google Veo: for realistic video with native audio

You want a realistic, high-quality clip and prefer a Google-adjacent workflow. Veo's strength is image quality, motion, and integrated sound.

Use Veo when you want the most complete generative video clip from a single environment.

Runway: for creative control and client productions

You want to stage and edit video deliberately rather than accept a one-shot result. Runway supports reference images, camera control, visual consistency, and subsequent editing. Its strength: it is built as a production tool, not just a prompt generator.

Use Runway when you want to direct and edit video deliberately.

Kling: for many variants at lower cost

You want to test a lot and produce several variants. Kling is strong at dynamic scenes and complex human movement and is often cheaper than Western premium offerings. Check data protection, provider structure, and terms of use carefully for client projects.

Use Kling when you want to test a lot and generate multiple variants.

Worth watching: Seedance is an up-and-coming model for character consistency and short, dynamic social clips, though it's not yet an established production choice.

Higgsfield: for camera, direction, and cross-model workflows

Directing camera and staging matters more to you than loyalty to a specific model. Higgsfield is a platform with Cinema Studio, camera and effect controls, and access to different models: not a single video model, but a production and direction surface.

Use Higgsfield when controlling camera and staging matters more than being tied to one model.

A note on what's missing: I no longer recommend Sora for production work, since the product and its API are being discontinued in 2026.

6. General assistants

Claude: for text and long documents

Text quality and careful document work are your priority. Claude is strong at writing, editing, structuring, and analyzing extensive content.

Use Claude when text quality and careful work with documents are the focus.

ChatGPT: the broadest all-rounder

You want to subscribe to one broad general tool rather than many specialized ones. ChatGPT combines text, images, files, coding, data analysis, research, and agent functions. Its strength: many different tasks can be handled in one interface.

Use ChatGPT when you want to subscribe to only one broad general tool.

Gemini: for Google Workspace and multimodal tasks

Your daily work already takes place largely in Google Workspace: Gmail, Drive, Docs, Slides, and other Google products. Gemini combines general assistance, research, and media generation.

Use Gemini when your daily work already happens mainly in Google Workspace.

7. Research and knowledge work

Perplexity: for quick orientation and source discovery

You want to find relevant sources quickly, verify current information, and get up to speed on a new topic. One honest caveat: source citations are no longer a unique selling point in 2026. ChatGPT, Gemini, and Claude all offer web search, research modes, and citations. Perplexity's advantage lies in its product logic: search and source checking are at the center, answers arrive quickly, and findings can be opened directly.

Use Perplexity when you want to find relevant sources quickly, check current information, and get into a topic fast.

NotebookLM: for a limited, self-chosen set of sources

Research should be deliberately limited to specific documents: studies, project files, briefings, learning material. NotebookLM's answers and summaries stick to the sources you provide, and its Audio Overview can turn them into a podcast-style conversation.

Use NotebookLM when you want research deliberately restricted to specific documents.

One specialist tip: for systematic academic literature research, a dedicated tool such as Elicit is usually more useful than a general deep research mode.

8. Voice and music

ElevenLabs: for voice, dubbing, and language versions

You need high-quality speech or multilingual versions of your content. ElevenLabs is the standard recommendation for text-to-speech, voice cloning, dubbing, sound effects, and voice agents. When cloning real voices, mind personality rights and consent.

Use ElevenLabs when you want to produce high-quality speech or multilingual versions.

Descript: for recording, editing, and voice in one process

Raw material should become a finished audio or video piece. Descript combines transcription, text-based editing, and synthetic voice, well suited for podcasts, interviews, tutorials, and explainer videos.

Use Descript when raw material should become a finished audio or video piece.

Stable Audio: for commercially predictable music

Music should be commercially usable with as few open questions as possible. Stable Audio is the strongest choice for instrumentals, background music, and sound design, and its licensing story is cleaner than most alternatives built on scraped training data. Rights still depend on the plan and the medium of use, so check the current terms before a client release.

Use Stable Audio when you need commercial, instrumental, or background music without a long rights discussion.

One observation, not a recommendation: for full songs with vocals, tools like Suno or Udio still produce impressive demos, but export restrictions and unresolved rights questions make them a poor fit for paid client work right now.

9. Presentations

Gamma: for the fastest first draft

You need a complete first draft in a short time. Gamma generates full presentations from a prompt, an outline, or a document and quickly gives you something presentable. The limit: important presentations still need linguistic and design refinement.

Use Gamma when a complete first draft has to exist in a short time.

Plus AI: for PowerPoint and Google Slides

Existing templates and presentation processes should stay intact. Plus AI works directly inside PowerPoint and Google Slides, creating new presentations as well as extending and reformatting existing slides.

Use Plus AI when existing templates and presentation processes should be preserved.

Figma Slides: for design teams

Design control and collaboration matter more to you than maximum speed. Figma Slides suits individual design work and connects with existing Figma assets.

Use Figma Slides when design control and collaboration matter more than speed.

10. What's actually changing right now

Models and interfaces are pulling apart. A year ago, picking a tool meant picking a model too. That's loosening. OpenCode, Cline, OpenRouter, Figma's MCP support, and increasingly open media workflows let you swap the model underneath without rebuilding the whole process around it. Worth building your workflows around that assumption now, even if you stick with one model today.

Open models are closing the gap fast. Frontier capability that cost a fortune six months ago often shows up in an open model a few months later, at a fraction of the price. If you're paying premium rates for a capability, it's worth checking whether that gap has already closed.

Price is becoming the real decision variable. There's usually one specialized tool that does a given job best, and charges accordingly for the privilege. Next to it sit either cheaper open alternatives, or broader tools that bundle several capabilities into one subscription, often landing at something like 90 percent of the specialist's quality. Neither option is automatically right. It's a trade-off you make deliberately, not a default you fall into.

And a caveat I'll state plainly: this list is probably a little out of date the day after I publish it. Tools change constantly, vendors get acquired, features get renamed, pricing shifts overnight. The more durable move is not to bind yourself to a specific tool, but to understand the concepts underneath: things like AGENTS.md, skills, MCP, and agents in general. Those ideas will outlast whatever sits on top of them today.

Which tools have earned a permanent place in your set?

FAQ

Which AI tool should I try first if I’m not using one yet?

A general-purpose assistant like ChatGPT or Claude covers most everyday tasks and is the best place to start. Only when you regularly need to perform a specific, specialized task—such as image generation, video creation, or coding—is it worth investing in an additional specialized tool.

What’s the difference between Claude Code, Codex, and OpenCode?

Claude Code is suitable for complex changes to existing codebases with minimal micromanagement. Codex excels at parallel agent work and is deeply integrated with ChatGPT. OpenCode is model-agnostic and open source, so the underlying model can be switched depending on the task and cost.

Which tool is best suited for image generation?

For maximum visual quality and a distinctive visual style, Midjourney is the strongest choice. For quick, dialogue-based edits to an existing image, GPT Image or Nano Banana are more practical, depending on whether ChatGPT or Gemini is already your primary tool.

Why is Suno or Udio not recommended for commercial music production?

Both tools generate impressive, complete songs, but export restrictions and unresolved legal issues surrounding training data and compositions make them risky for paid client projects. Stable Audio offers a clearer legal framework for instrumentals and background music.

Do I have to commit to a specific AI model in the long term?

Less and less so. Tools like OpenCode, Cline, OpenRouter, or the Figma-MCP integration separate the user interface from the underlying model. This allows you to switch models as soon as a cheaper or better one becomes available, without having to rebuild your entire workflow.

Are expensive specialized tools still worth it when there are cheaper alternatives?

It depends on the task. Specialized tools often provide the best individual solution, but they also cost more. Open-source or bundled alternatives are cheaper, but often only achieve about 90 percent of the quality. The decision is a conscious trade-off between price and results—it’s not automatic.

How often does this list of the best AI tools change?

Constantly. New models, price changes, and feature updates are released every few months or even weeks. Rather than memorizing a single tool, it makes more sense to understand the underlying concepts—such as AGENTS.md, Skills, MCP, and Agents—since these remain relevant longer than any individual product.



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