The Best New AI Tools to Try in 2026
The Best New AI Tools to Try in 2026
Artificial intelligence tools are no longer limited to answering questions or generating a few paragraphs of text. In 2026, the most useful AI products can research complex topics, analyze private documents, create presentations, write and review code, generate images and videos, produce realistic voiceovers, build websites, and automate work across different apps.
That growth also makes choosing the right tool more difficult. New products appear constantly, established platforms add major features every month, and several tools now overlap. The best choice is therefore not simply the tool with the longest feature list. It is the one that fits your actual workflow, gives you enough control, and produces results you can verify.
This guide covers 15 of the best AI tools worth trying in 2026. Some were launched before 2026, but all have evolved into significantly more capable products. The list is based on usefulness, output quality, ease of use, range of features, and the ability to save meaningful time.
Important: Features, usage limits, prices, and regional availability can change. Check each tool's official website before subscribing. AI can also produce inaccurate information, so review important outputs before publishing or acting on them.
Quick Comparison: The Best AI Tools of 2026
| AI tool | Best for | Main strength | Ideal users |
|---|---|---|---|
| ChatGPT | All-purpose AI assistance | Research, writing, files, images, coding, and finished work | Almost everyone |
| Claude | Long-form thinking and complex work | Strong writing, reasoning, coding, and long-running tasks | Writers, analysts, developers |
| Gemini | Google-powered productivity | Deep integration with Gmail, Docs, Sheets, Slides, and Drive | Google Workspace users |
| Perplexity | Web research | Current answers with links to sources | Students, researchers, marketers |
| Gemini Notebook | Source-grounded learning | Answers and study materials based on your own sources | Students, teachers, researchers |
| Cursor | AI-first software development | Agents that understand and edit a codebase | Developers and technical teams |
| GitHub Copilot | Coding inside familiar tools | Code completion, agents, reviews, and GitHub integration | GitHub and IDE users |
| Lovable | Building apps without deep coding skills | Turns natural-language ideas into working apps and websites | Founders and nontechnical builders |
| Canva AI | Fast everyday design | Conversational creation across designs, text, images, and video | Bloggers, marketers, small businesses |
| Adobe Firefly | Controlled professional creative work | Image, video, audio, and vector generation with precise controls | Designers and Adobe users |
| Runway | AI video generation | Short cinematic scenes, B-roll, effects, and product reshoots | Video creators and advertisers |
| ElevenLabs | AI voice and audio | Expressive multilingual speech, dubbing, music, and voice agents | YouTubers, podcasters, businesses |
| Notion AI | Knowledge and team productivity | Agents, workspace search, meeting notes, and databases | Teams and organized solo workers |
| Gamma | Presentations and visual documents | Turns an idea or outline into a polished deck quickly | Students, educators, sales teams |
| Zapier | AI automation | Connects agents and workflows to thousands of apps | Businesses and operations teams |
1. ChatGPT — Best All-Purpose AI Tool
Best for: Writing, brainstorming, research, document work, coding, image creation, data analysis, and everyday assistance.
ChatGPT remains one of the best starting points for anyone who wants a single AI tool that can handle many kinds of work. It can explain difficult ideas, draft and edit content, search the web, work with uploaded files, generate images, help with code, and support longer projects.
The biggest reason to try it in 2026 is that it has moved beyond the traditional question-and-answer chatbot. ChatGPT now separates quick conversational help from deeper work and coding experiences. Its Work features can create and edit documents, spreadsheets, presentations, charts, PDFs, and images, while Codex is designed for software-development tasks from planning through testing and review.
Good ways to use ChatGPT:
Create an outline and first draft for a blog article.
Upload a spreadsheet and ask for trends, errors, or a visual report.
Compare products or research a topic using current web sources.
Generate a featured image, advertisement concept, or social post.
Build, debug, or explain website code.
Turn rough notes into a polished document or presentation.
Main limitation: ChatGPT can still misunderstand a request or state an incorrect fact confidently. Ask it to show sources for current information, and always check legal, medical, financial, and high-impact decisions independently.
Starter prompt:
Act as an expert content strategist. Create a detailed, SEO-friendly article about [topic] for [audience]. Include a strong introduction, clear H2 and H3 headings, a comparison table, practical examples, FAQs, and a concise conclusion. Identify any claims that require fact-checking.
2. Claude — Best for Thoughtful Writing and Complex Projects
Best for: Long documents, careful analysis, coding, professional writing, and multi-step knowledge work.
Claude is an excellent choice when you want an AI assistant that can maintain a clear writing style, analyze a large amount of context, and reason carefully through a complicated task. Writers often value its natural prose, while developers use Claude and Claude Code to understand repositories, plan changes, and implement software.
Claude became substantially more capable in 2026. Anthropic's product updates added newer model generations, improved memory, remote Cowork sessions, scheduled work, and broader connections to workplace tools. This makes Claude useful not only for producing an answer, but also for working through longer assignments that involve files, research, or repeated steps.
Good ways to use Claude:
Analyze a long report and extract its key arguments and weaknesses.
Rewrite an article while preserving a specific tone of voice.
Compare several documents and identify contradictions.
Plan a software feature before changing the code.
Turn research notes into a structured report or policy draft.
Review a complex decision from multiple perspectives.
Main limitation: Some advanced models, agent features, integrations, and higher usage limits require paid plans. Availability may also differ between the web app, desktop app, and enterprise plans.
Starter prompt:
Read the material I provide and create a decision memo. Separate confirmed facts, reasonable inferences, unresolved questions, risks, and your recommendation. Do not invent missing information.
3. Gemini — Best for Google Workspace Users
Best for: Email, documents, spreadsheets, presentations, file search, and users already working in Google's ecosystem.
Gemini is especially useful when your daily work already lives in Gmail, Google Drive, Docs, Sheets, Slides, Meet, or Chat. Instead of copying information between an AI chatbot and your files, Gemini can work inside the Google products where the information already exists.
Google's 2026 Workspace updates expanded Gemini's role from a simple writing helper into a collaborative work assistant. It can help create and refine formatted documents, build or edit spreadsheets with natural-language instructions, generate slide content, and find answers across approved Workspace sources. This integration is Gemini's clearest advantage over standalone AI tools.
Good ways to use Gemini:
Draft an email using information from a Drive file.
Turn notes and source documents into a formatted Google Doc.
Build a project tracker or budget table in Google Sheets.
Summarize long email threads and extract decisions.
Create presentation slides based on an existing report.
Search for information buried across Drive, Gmail, Calendar, and Chat.
Main limitation: The most advanced features may require an eligible Google AI or Workspace plan, may launch in selected languages first, and may not be available in every region at the same time.
Starter prompt:
Using the information in the selected Drive files, create a one-page project update with completed work, current blockers, next actions, owners, and deadlines. Clearly mark anything that is missing.
Official Google Workspace announcement
4. Perplexity — Best AI Tool for Web Research
Best for: Current information, source discovery, product comparisons, market research, and quick fact-checking.
Perplexity combines conversational AI with real-time web search. Its main advantage is that answers are normally accompanied by citations and links, allowing you to inspect the original sources. This makes it useful when the question depends on recent information or when you need a faster starting point for research.
Perplexity's Advanced Deep Research became more capable in 2026. According to its official documentation, it can search and cross-reference more sources, work with uploaded documents, perform calculations in a code environment, show research progress, and produce editable reports.
Good ways to use Perplexity:
Research a market, competitor, product, or travel destination.
Compare current software features and plans.
Find primary sources for an article.
Build a research brief before writing a report.
Track a fast-changing topic and locate recent coverage.
Investigate a technical question across official documentation.
Main limitation: A citation does not automatically make a claim correct. Open the cited page, check whether it directly supports the statement, and prefer primary sources over summaries or low-quality blogs.
Starter prompt:
Research [topic] using recent primary and authoritative sources. Separate facts from analysis, note disagreements between sources, include publication dates, and link every important claim to the original page.
Official Perplexity Deep Research guide
5. Gemini Notebook — Best for Learning From Your Own Sources
Best for: Studying, document research, course preparation, source-grounded Q&A, and turning reading material into learning resources.
Gemini Notebook, previously known as NotebookLM, is different from a general chatbot because its answers can be grounded exclusively in the sources you add. Those sources can form a focused knowledge base for a class, research project, business topic, or collection of personal notes.
Its Studio tools can turn source material into Audio Overviews, Video Overviews, mind maps, reports, flashcards, quizzes, infographics, and slide decks. In 2026, notebooks can also appear inside Gemini, while the dedicated Gemini Notebook experience remains the place for source-only answers and Studio-generated learning artifacts.
Good ways to use Gemini Notebook:
Upload lectures and generate a study guide.
Ask questions across several PDFs without searching each manually.
Turn research papers into a structured comparison.
Create flashcards and quizzes for exam preparation.
Produce an audio overview to review material while traveling.
Find where two sources agree or disagree.
Main limitation: The answer quality depends heavily on the sources you provide. If the documents are incomplete, outdated, biased, or incorrect, the output can inherit those problems.
Starter prompt:
Based only on my uploaded sources, explain the five most important ideas in simple language. Cite the supporting source for each idea, identify disagreements, and finish with ten questions that test real understanding rather than memorization.
6. Cursor — Best AI-First Code Editor
Best for: Developers who want AI assistance throughout an entire codebase.
Cursor is a code editor built around AI-assisted development. Instead of using AI only for small autocomplete suggestions, developers can assign larger tasks to agents that inspect files, propose a plan, edit code, and help test the result.
Cursor is most valuable when the AI needs context from several files. It can help trace a bug across a repository, refactor connected components, explain unfamiliar code, or build a feature from a written requirement. Its integrated review tools can also help identify issues in AI-generated changes.
Good ways to use Cursor:
Understand the structure of an unfamiliar repository.
Implement a feature that touches multiple files.
Refactor repeated logic into shared components.
Generate tests for existing behavior.
Review a proposed change before committing it.
Find possible causes of a bug from logs and code context.
Main limitation: AI-generated code can look convincing while introducing security, performance, or correctness problems. Use version control, read the diff, run tests, and avoid approving large changes you do not understand.
Starter prompt:
First inspect the repository and explain the relevant architecture. Then propose a minimal implementation plan for [feature]. Do not edit files until I approve the plan. After editing, run the relevant tests and summarize every changed file.
7. GitHub Copilot — Best for Coding Across GitHub and Popular IDEs
Best for: Developers who want AI coding help without leaving GitHub, their editor, or the command line.
GitHub Copilot has expanded far beyond line-by-line autocomplete. Its current product includes code completion, next-edit suggestions, chat, command-line assistance, code review, cloud agents, and access to multiple model choices depending on the plan.
Copilot is particularly attractive to developers and organizations already using GitHub. It can help move from an issue to implementation, review code in the same ecosystem as a pull request, and fit into familiar development tools. An entry-level free option is available, while paid plans add larger allowances and more agent capabilities.
Good ways to use GitHub Copilot:
Generate routine code and tests inside an IDE.
Explain a function or suggest a refactor.
Turn an issue description into an implementation plan.
Review a pull request for likely bugs.
Ask for terminal commands in plain language.
Create documentation for an existing project.
Main limitation: Copilot should accelerate engineering judgment, not replace it. Verify dependencies, licenses, security assumptions, tests, and edge cases before merging generated code.
Starter prompt:
Review this change as a senior engineer. Check correctness, security, error handling, performance, backward compatibility, and missing tests. Rank findings by severity and explain how to reproduce each issue.
8. Lovable — Best for Building Apps Without Deep Coding Skills
Best for: Founders, small businesses, designers, and nontechnical users who want to prototype a web product.
Lovable is an AI app builder that lets users describe an application or website in natural language. It is useful for turning an idea into an interactive prototype without manually setting up every screen and component.
The best use of Lovable is not to type “build my entire business” and accept the first result. Start with a narrow product, define the users and main workflow, then improve one feature at a time. A founder could use it to test a customer portal, booking experience, internal dashboard, or simple software-as-a-service concept before investing in a larger development project.
Good ways to use Lovable:
Build a landing page connected to a simple sign-up flow.
Prototype a dashboard or internal tool.
Create a minimum viable product for user testing.
Turn a written product requirement into an interactive demo.
Experiment with different layouts before hiring a development team.
Main limitation: A generated prototype is not automatically a secure, scalable, production-ready application. Authentication, permissions, payments, personal data, database rules, accessibility, and testing need careful review.
Starter prompt:
Build a responsive appointment-booking prototype for a small clinic. Begin with the public homepage, service list, available-time selector, confirmation page, and staff dashboard. Use sample data only. Do not add payments or collect medical information.
9. Canva AI — Best for Fast Design and Social Content
Best for: Bloggers, marketers, teachers, small businesses, and people without advanced design skills.
Canva AI brings conversational creation into a familiar visual editor. A user can brainstorm an idea, generate copy or visuals, produce a design, and refine it without moving through several unrelated applications. Canva's AI tools now cover areas such as writing, image generation, coding, video editing, and brand-aware creation.
For a Blogger website, Canva is particularly useful for featured images, social-media graphics, Pinterest pins, YouTube thumbnails, advertisements, simple infographics, and downloadable checklists.
Good ways to use Canva AI:
Create a featured image for a blog post.
Resize one campaign for several social platforms.
Turn an article into a carousel or infographic.
Produce a branded presentation or flyer.
Remove or replace an image background.
Generate several visual directions before choosing one.
Main limitation: AI-generated designs can feel generic when the prompt lacks a clear visual direction. Apply your own fonts, colors, spacing, imagery, and brand rules. Also make sure you have permission to use any uploaded photos or logos.
Starter prompt:
Create a clean 16:9 featured image for an article titled “The Best New AI Tools to Try in 2026.” Use a modern black and AliceBlue color palette, high contrast, simple AI-inspired shapes, and enough empty space for readable headline text. Avoid robot faces and visual clutter.
10. Adobe Firefly — Best for Professional Creative Control
Best for: Designers, photographers, marketers, and creators already using Adobe apps.
Adobe Firefly combines generative image, video, audio, vector, and editing tools in one creative platform. It offers controls for style, lighting, color, and composition, then connects the result to Adobe products such as Photoshop, Premiere, and Express for further editing.
Firefly is especially useful when an AI generation is only the beginning of the workflow. A designer can create a concept, modify part of an image with Generative Fill, expand the frame for a different format, generate supporting audio, and continue editing in professional Adobe software.
Good ways to use Adobe Firefly:
Generate campaign concepts and mood boards.
Add, remove, or replace elements in a photograph.
Expand an image to fit a banner or advertisement.
Create vector graphics and branded design assets.
Produce short video clips, sound effects, or B-roll.
Localize audio or video for different languages.
Main limitation: High-quality generations often require iteration and detailed art direction. Credit usage and access to premium or partner models vary by plan, so test the workflow before committing to a large production.
Starter prompt:
Create a premium editorial illustration about practical AI tools in 2026. Use a restrained black, white, and pale-blue palette, subtle depth, clean geometric forms, and a wide composition suitable for a technology blog header. No text, logos, or humanoid robots.
11. Runway — Best for AI Video Generation
Best for: Short videos, advertisements, concept films, music visuals, B-roll, animation, and creative experiments.
Runway is one of the most capable dedicated platforms for generative video. Its tools can create video from text or an image and support workflows such as short scenes, ad creative, character performances, product reshoots, relighting, mood reels, and visual effects.
Runway is most effective when you treat each generation as a planned shot rather than asking for an entire finished film. Define the subject, setting, camera movement, action, lighting, and mood, then generate several short clips and edit the best results together.
Good ways to use Runway:
Animate a still product photograph.
Generate B-roll for an advertisement or explainer.
Test a film concept before production.
Create stylized music-video shots.
Remove an unwanted element from a clip.
Explore alternative lighting or environments for a product scene.
Main limitation: Video generation can consume credits quickly, and consistency across multiple shots remains challenging. Faces, hands, text, physics, and brand-specific details must be checked carefully.
Starter prompt:
A six-second cinematic product shot of a matte-black smartphone on a pale-blue reflective surface. Slow camera dolly from left to right, soft studio lighting, realistic reflections, subtle background haze, premium technology-advertising style, no text or logos.
Official Runway AI Video Generator
12. ElevenLabs — Best for AI Voice, Dubbing, and Audio
Best for: YouTube narration, podcasts, audiobooks, localization, voice agents, transcription, music, and sound effects.
ElevenLabs is widely useful for turning written scripts into expressive speech. Its creative platform includes text-to-speech, speech-to-text, voice cloning, dubbing, sound effects, music, and audio localization. Its agent platform can also support conversational experiences across voice and chat.
In 2026, ElevenLabs expanded further beyond narration with newer transcription, expressive-agent, dubbing, and music capabilities. For content creators, it can reduce the time needed to test a script, create multilingual versions, or produce a consistent voiceover.
Good ways to use ElevenLabs:
Narrate a YouTube video or tutorial.
Create an audio version of a blog article.
Dub a video into another language.
Generate character voices for a game or story.
Produce custom sound effects or background music.
Build a voice-based customer-service assistant.
Main limitation: Clone only a voice you own or have explicit permission to use. Synthetic audio can be abused for impersonation, so follow consent rules, platform policies, disclosure requirements, and applicable law.
Starter prompt:
Read this script in a warm, confident, conversational voice. Use a moderate pace, short natural pauses after headings, slightly more energy for examples, and a calm ending. Avoid an exaggerated advertising tone.
13. Notion AI — Best for an AI-Powered Workspace
Best for: Team knowledge, meeting notes, project documentation, workspace search, recurring reports, and organized personal work.
Notion AI is most useful when your notes, tasks, databases, and company knowledge already live in Notion. It can generate and edit pages, work with databases, search connected sources, capture meeting notes, and use agents for multi-step or repetitive tasks.
The important difference between Notion AI and a standalone chatbot is context. When permissions and connections are configured correctly, it can work with the information inside your workspace and help turn that information into reports, tasks, or updates.
Good ways to use Notion AI:
Convert meeting transcripts into summaries and action items.
Draft a weekly project update from database activity.
Search for an answer across team documentation.
Organize scattered notes into a structured database.
Create tasks from a product-planning document.
Generate onboarding material for a new employee.
Main limitation: Workspace AI is only useful when the underlying information is accurate and permissions are appropriate. Review what connected tools and agents can access before using them with confidential data.
Starter prompt:
Review this project's pages and database entries from the last seven days. Create a weekly update with progress, decisions, blockers, overdue tasks, owners, and next steps. Link each statement to its supporting Notion source.
14. Gamma — Best for AI Presentations and Visual Documents
Best for: Pitch decks, lessons, proposals, reports, simple websites, and visual storytelling.
Gamma can turn a prompt, outline, or existing document into a polished presentation quickly. It can also produce visual documents, websites, social content, and graphics. Users can import a brand or select a theme, edit the result with AI, collaborate, and export to formats such as PowerPoint and PDF.
Gamma is ideal when you have good information but do not want to spend hours adjusting every layout. It is particularly useful for creating the first visual draft of a lesson, proposal, webinar, sales presentation, or startup pitch.
Good ways to use Gamma:
Turn a blog article into a presentation.
Create a lesson deck from class notes.
Build a visual sales proposal.
Convert an outline into a simple shareable website.
Repurpose a report into social-media content.
Generate alternative structures for a pitch.
Main limitation: A polished layout cannot rescue a weak argument. Check the facts, reduce excessive text, replace generic images, and make sure every slide advances the story.
Starter prompt:
Create a 10-slide presentation for beginners about the best AI tools of 2026. Organize it by workflow rather than brand. Use one key idea per slide, minimal text, practical examples, a comparison table, and a final slide explaining how to choose safely.
15. Zapier — Best for AI Automation Across Apps
Best for: Repetitive business processes, lead handling, reporting, support workflows, data movement, and connecting AI to other software.
Zapier becomes useful after you discover a task that repeats. A normal automation follows fixed rules, while an AI-enabled workflow or agent can interpret unstructured information before deciding which approved action to take. Zapier combines these capabilities with thousands of app integrations.
For example, a workflow could receive a form submission, classify the request, create a task, draft a response, store the information in a table, and alert the correct team member. The value is not just generating text; it is moving the work through the systems a business already uses.
Good ways to use Zapier:
Summarize new form responses and route them to the correct person.
Turn meeting notes into tasks in a project-management tool.
Draft personalized follow-up emails for review.
Categorize customer-support requests.
Create a recurring report from several data sources.
Send approved content to a publishing or social workflow.
Main limitation: Automation can repeat a mistake at scale. Begin with a narrow workflow, restrict permissions, log every action, add human approval before sensitive steps, and test failure cases before allowing the system to run unattended.
Starter prompt:
Design an automation for new website contact-form submissions. Validate required fields, detect spam, classify the message as sales, support, partnership, or other, save it to a table, draft a reply, and require human approval before sending any email.
Which AI Tool Should You Choose?
You do not need all 15 tools. Start with the category that matches the work you do most often:
For one flexible AI assistant: Start with ChatGPT, Claude, or Gemini.
For current web research: Try Perplexity.
For studying your own documents: Use Gemini Notebook.
For software development: Choose Cursor or GitHub Copilot.
For building an app without deep coding knowledge: Try Lovable.
For quick graphics and social content: Use Canva AI.
For professional creative production: Try Adobe Firefly.
For generative video: Use Runway.
For voiceovers and dubbing: Use ElevenLabs.
For team knowledge and meeting workflows: Try Notion AI.
For presentations: Use Gamma.
For connecting AI to repeated business processes: Use Zapier.
If you are unsure, begin with one general-purpose assistant and one specialized tool. For example, a blogger might use ChatGPT for research and drafting, Canva for featured images, and ElevenLabs only when an audio version is needed. Adding more subscriptions before you have a repeatable workflow usually creates more complexity than value.
How to Test an AI Tool Before Paying
Use the same real task to compare two or three products. A useful test should take less than an hour and include the following steps:
Choose a task you already understand. This makes errors easier to notice.
Give every tool the same source material and goal. Keep the comparison fair.
Measure the time to an acceptable result. Do not judge only the first output.
Count the corrections required. A fast but unreliable tool may save no time.
Check export and integration options. Make sure the result fits your real workflow.
Review privacy and data settings. Understand whether your prompts, files, and outputs may be retained or used.
Calculate the total cost. Include credits, storage, extra models, and the time spent reviewing results.
The best tool is the one that gives you a reliable final result with the least unnecessary work—not necessarily the product that produces the most impressive demo.
Important AI Safety Tips for 2026
Verify facts and citations
AI-generated citations can be irrelevant or misunderstood. Open the original source and confirm that it actually supports the claim.
Protect private information
Do not upload passwords, private keys, confidential contracts, customer records, medical details, or other sensitive data unless you understand the tool's privacy terms and your organization allows it.
Review generated code
Run tests, inspect dependencies, check permissions, and complete a security review before deploying AI-generated software.
Respect copyright and consent
Use content you own or have permission to use. Get consent before cloning a person's voice or editing their recognizable image.
Keep humans responsible for important decisions
AI can support judgment, but it should not be the only decision-maker in hiring, healthcare, finance, law, education assessment, or other high-impact areas.
Frequently Asked Questions
What is the best overall AI tool in 2026?
There is no single winner for every task. ChatGPT is one of the strongest general-purpose choices because it covers writing, research, files, images, coding, and finished work. Claude is excellent for careful writing and complex long-form tasks, while Gemini is especially convenient for people who work heavily in Google Workspace.
What is the best free AI tool?
Many leading platforms offer free access with limits, including general assistants, research tools, design tools, and coding assistants. The best free option depends on the task. Compare the quality and restrictions using one real project before upgrading.
Which AI tool is best for students?
Gemini Notebook is particularly useful for learning from class material and generating study aids based on uploaded sources. Perplexity helps locate current sources, while ChatGPT, Claude, and Gemini can explain concepts and create practice questions. Students should still check citations and follow their institution's academic-integrity rules.
Which AI tool is best for content creators?
A strong creator toolkit could combine a general assistant for ideas and scripts, Canva AI or Adobe Firefly for graphics, Runway for video, and ElevenLabs for narration. Start with the smallest combination that supports the content you actually publish.
Can AI build a complete website or app?
Tools such as Lovable and AI coding agents can create a substantial prototype and, in some cases, a deployable application. However, production software still requires careful testing, security review, accessibility work, legal compliance, data protection, and ongoing maintenance.
Are paid AI plans worth it?
A paid plan is worthwhile when it removes a real bottleneck: higher limits, stronger models, better exports, privacy controls, integrations, or commercial usage rights. If you use a tool only occasionally, a free plan may be enough.
Final Thoughts
The defining AI trend of 2026 is the shift from isolated chatbots to tools that can complete larger parts of a workflow. The best products now combine reasoning with files, research, creative generation, coding, integrations, or controlled actions.
Do not try every new platform at once. Choose one repeated problem, test a suitable tool on real work, measure the result, and keep human review where mistakes matter. Used thoughtfully, AI can reduce busywork, accelerate learning, improve creative experimentation, and give individuals or small teams capabilities that once required several specialized applications.