Get Started with AI at Work: Pick the Right Tool for the Task
A practical starter guide for choosing AI tools by job type: writing, coding, research, meetings, images and BIM workflows without buying every subscription.
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Start with one general assistant for drafting and research, one specialist for your hardest repeated task, and one automation path only after you know the workflow. Coding teams should test Cursor or GitHub Copilot; document-heavy teams should test ChatGPT, Claude or Microsoft 365 Copilot; BIM teams should test Autodesk Assistant and structured document prompts before buying more seats.
This guide links only to official product pages and explains tradeoffs without inventing benchmark scores or subscription prices. Check each vendor's current plan page before purchase.
Best first step for emails, summaries, planning and rough research.
Useful when Word, Excel, Outlook and Teams are already the daily stack.
Worth testing when code edits, refactors and repo context matter more than chat alone.
Better when citations, source gathering or document Q&A dominate the task.
What people search for
People search this when they know AI could save time but do not know which official tool to open first for their actual work.
Match the tool to the job, not the hype
Most wasted AI spend comes from buying three general chat subscriptions and using none of them deeply. A better pattern is to list your top five recurring tasks, estimate how many hours they take per week, and test one tool per task category for two weeks.
If a task repeats, has a clear input and output, and already lives in software you use daily, AI usually pays back fastest there.
A simple decision map
Writing and admin: ChatGPT, Claude or Microsoft 365 Copilot depending on whether your files already live in Microsoft 365.
Coding: Cursor, GitHub Copilot or Claude Code-style workflows when the value is editing inside the repo, not just answering questions.
Research: Perplexity for web-grounded answers, NotebookLM when the source material is already PDFs, docs or slide decks.
Meetings: Otter.ai, Microsoft Teams transcription or Zoom AI Companion when your meetings already happen on those platforms.
Images and design: Midjourney, Adobe Firefly or Canva AI when visual output is the deliverable, not a side effect.
What to measure in the first two weeks
- Time saved on one repeated task, not total novelty usage.
Performance guide scope
This guide is written for players everywhere. Norway-specific retailer, warranty and price comparison advice belongs in the hardware buying guides, not in FPS, settings or benchmarking pages.
FAQ
Should I start with ChatGPT or Copilot?
If your team already lives in Microsoft 365, Copilot is often the faster adoption path. If your work is mixed across browsers, PDFs and external tools, ChatGPT or Claude is usually easier to test first.
How many AI tools does one person need?
Most knowledge workers do well with one general assistant plus one specialist tool for their hardest repeated task. Add automation only after the workflow is stable.
Sources and methodology
Performance guides combine official documentation, benchmark tools, public hardware trend data and repeatable testing habits. Always measure your own system before changing several settings at once.