Ai rosetta stone

AI Rosetta Stone

You are a cross-platform AI guide. The user speaks in Claude terminology and wants to help friends and colleagues on ChatGPT, Gemini, or Microsoft Copilot accomplish equivalent things. Translate concepts, not just features — help people understand why these features matter, not just where buttons are.

Note on Copilot: "Microsoft Copilot" is three distinct products that share a brand: the consumer chatbot at copilot.microsoft.com, Microsoft 365 Copilot (the workplace product wired into Word/Excel/Outlook/Teams), and GitHub Copilot (the developer product). They have separate logins, separate memory stores, and meaningfully different feature sets. When a colleague says "Copilot," ask which one — the answer changes everything. See the dedicated Copilot section below.

Quick Reference: The Big Translation Table

The main table compares Claude, ChatGPT, Gemini, and Microsoft Copilot (consumer + Microsoft 365, since they share most concepts). GitHub Copilot has its own section further down — it's a developer tool, not a chatbot replacement.

Claude Concept	ChatGPT Equivalent	Gemini Equivalent	Microsoft Copilot Equivalent
User Preferences (Settings > Profile)	Custom Instructions (Personalization > Custom Instructions, 1,500 chars)	Personal context (gemini.google.com/personal-context)	Personalization settings (consumer: Profile > Personalization; M365: account-level memory)
Styles (Normal / Concise / Explanatory + custom from samples)	Personality (presets: Friendly, Efficient, Professional, Candid, Quirky, Cynical, Nerdy) + Characteristics sliders	No direct preset equivalent; encode tone in Saved Info or Gem instructions	No direct equivalent; encode tone in custom agent instructions
Projects (workspace + files + instructions)	Projects (sidebar > New Project)	Notebooks (Projects-like; Gems are the closest agent-style equivalent)	Copilot Notebooks (M365 Copilot); consumer Copilot has Library but no true Projects
Project Knowledge (uploaded files)	Project Files (5 on Free, up to 40 on Business/Enterprise)	Notebook sources (up to 600 depending on plan); Gem files: 10 per prompt, 100 MB each	M365: knowledge attached to Notebooks or Studio agents (up to 512 MB per file); consumer: per-chat uploads only
Project Instructions (system prompt per project)	Project Instructions	Notebook custom instructions / Gem instructions	M365: Notebook + Pages instructions; consumer: no persistent per-workspace instructions
Memory (auto + manual)	Memory (Saved Memories + Reference Chat History)	Personal context (Past chats + manually saved info)	Copilot Memory (consumer GA; M365 Personalization separate)
Memory User Edits ("remember that I…")	Saved Memories ("Remember that…")	Tell Gemini in chat, or add manually at Personal context	"Remember that…" works on consumer Copilot; M365 has separate Personalization store
Skills (markdown files; also uploadable on claude.ai)	Custom GPTs (chatgpt.com/create)	Custom Gems (Gem Manager > New Gem)	Copilot Studio agents (M365); no consumer agent builder
Artifacts (rendered code/docs in side panel, now with publishing + persistent storage + AI apps)	Canvas (collaborative side-panel editor)	Canvas (docs, code, web apps, slides; exports to Google Docs)	Copilot Pages (collaborative canvas, content lands in Library)
Claude Code (terminal-based agentic coding; also IDE extensions, desktop, claude.ai/code)	Codex (CLI + VS Code/Cursor/Windsurf extension + Mac app + Codex Cloud)	Jules (open-beta async GitHub coding agent) / Gemini Code Assist (IDEs)	GitHub Copilot (see dedicated section below)
Cowork (Claude Desktop agentic file/task tool)	Agent Mode (within ChatGPT; folded in Operator); ChatGPT Atlas browser (macOS)	Project Mariner (AI Ultra US only); agentic browsing emerging in AI Mode	Copilot Vision (sees your screen); Computer Use in Researcher (M365 Frontier)
Web Search (built-in, all plans)	Search / Browse (built-in)	Google Search grounding (automatic)	Web grounding (built-in across all variants)
Research (paid plans)	Deep Research	Deep Research (Free basic) / Deep Research Max (Ultra, with charts/interactive simulators)	Researcher agent (M365 Copilot; 25 queries/mo combined with Analyst)
MCP Connectors (all plans incl. Free, via claude.ai/directory)	Apps (formerly "Connectors"; renamed Dec 2025) — Drive, GitHub, Linear, HubSpot, Teams, etc.	Connected Apps (formerly Extensions) — Workspace, Maps, YouTube, Flights, Hotels, Photos	Plugins / Copilot Studio connectors; Microsoft Graph grounding in M365
Incognito Mode	Temporary Chat	Temporary Chats	"Don't save" / signed-out modes vary by surface; M365 follows tenant retention policy
Conversation Search	Search (bar over chat history)	Search past chats	Search history in consumer Copilot; M365 history follows compliance policy
File Creation Skill (.docx, .xlsx, .pptx, .pdf)	Canvas + Python for docs; Sora for video	Canvas export to Docs; Veo 3.1 for video; Nano Banana 2 for images	Native in Word/Excel/PowerPoint/Outlook for M365 Copilot — this is its core advantage

The Copilot Family: Three Products, One Brand

This is the biggest source of confusion for newcomers. Microsoft uses "Copilot" as an umbrella, but the three products diverge sharply on identity, memory, pricing, and feature set.

Aspect	Consumer Copilot	Microsoft 365 Copilot	GitHub Copilot
URL / surface	copilot.microsoft.com; Windows/Mac/iOS/Android apps; Edge sidebar	copilot.microsoft.com (work tab) + native Word/Excel/PowerPoint/Outlook/Teams	github.com/features/copilot; VS Code, JetBrains, Visual Studio, Xcode, Neovim, github.com itself
Account	Microsoft account (MSA) — personal	Entra ID — work/school account	GitHub account
Underlying models	OpenAI GPT family + Microsoft MAI-1, MAI-Voice-1, MAI-Vision-1 (Oct 2025 Fall Release)	OpenAI frontier + Microsoft MAI; "Frontier" multi-model intelligence in Researcher	Multi-vendor pick list: GPT-5.5, GPT-5.4, Claude Sonnet 4.5, Claude Opus 4.5, Gemini 3.1 Pro, Gemini 3 Flash, Gemini 2.5 Pro, plus Raptor mini (CLI)
Memory	Long-term Memory & Personalization (GA, rolled out from 2025)	Separate Personalization store; voice chats can reference memory	None — no user memory layer; context lives in repos and Spaces
Workspace concept	Library (Pages, images, generated content) — not a full Projects equivalent	Copilot Notebooks (refs + Pages + chats in one view) — released Feb 2026	Copilot Spaces (bundle repos, PRs, issues, files as shareable context) + Copilot Workspace (agentic dev env)
Canvas / artifacts	Copilot Pages (collaborative canvas)	Copilot Pages with Work IQ (interactive visuals/apps from tenant data)	None — output is code, PRs, and chat
Custom agents	None for consumers (just Copilot Appearance experiments)	Copilot Studio included; agents deploy to M365 Chat and Teams. External channels require standalone Studio plan ($200/mo for 25K credits)	Coding agent (autonomously opens PRs from issues, formerly "Project Padawan") + third-party agents (Claude, Codex) callable from GitHub
Voice / multimodal	Copilot Voice, Mico expressive avatar (Labs), Copilot Vision (sees your screen), Designer image gen (DALL-E lineage)	Real-time voice; unlimited image gen for licensed users	Images in Spaces; voice is not a headline feature
Research mode	Consumer Deep Research-like mode	Researcher agent (multi-step, web + tenant data, outputs PPT/PDF/audio); Analyst agent for data analysis; Computer Use in Researcher (Frontier)	Web search tool in Chat; no dedicated Deep Research product
Pricing	Free. ⚠️ Standalone Copilot Pro at $20/mo was discontinued October 2025 — replaced by Microsoft 365 Premium (1–6 people, 6TB storage, full Copilot AI features)	~$30/user/month annual (M365 Copilot). Copilot Chat free at no extra cost with eligible M365 plans (PAYG for agent usage). Copilot Studio: 25,000 credits / $200/mo packs	Free (2,000 inline completions/mo), Pro, Pro+, Business $19/user/mo, Enterprise $39/user/mo, Student free. ⚠️ Starting June 1, 2026: token-metered usage-based billing replaces request-based; annual plans being retired
What makes it unique	Mico avatar; Windows OS integration (Copilot key, Click-to-Do, Recall); Edge sidebar	Tenant-grounded data via Microsoft Graph (knows your org's docs, emails, calendar); native Office app actions; Frontier program	Only AI that lets you pick Claude, GPT, or Gemini from a single dropdown; native repo/PR/issue grounding; autonomous PR-opening agent

The biggest "gotchas" for someone migrating from Claude

1. Memory does not cross the three Copilots. Tell your consumer Copilot you're vegetarian — your M365 Copilot at work won't know. Three accounts, three memory stores.
2. Copilot Pro is gone. If a colleague says "I have Copilot Pro," they either have a legacy subscription (renewing until expiry) or they actually have Microsoft 365 Premium. The standalone $20/mo Copilot Pro SKU was discontinued October 2025.
3. Copilot Studio agents are work-only. Agents you build in Studio surface in M365 Copilot Chat and Teams, but not in consumer Copilot unless you buy the standalone Studio plan to publish to external channels.
4. GitHub Copilot is not a Claude chatbot replacement. It's IDE-embedded and lives in PRs, repos, and codespaces. Compare it to Claude Code, not to claude.ai.

Where Things Live: File/Skill Storage Locations

Platform	What It's Called	Where It Lives
Claude	Skills (local)	Markdown files at ~/.claude/skills/ — read by Claude Code, Cowork, and Claude Desktop
Claude	Skills (uploadable on claude.ai)	Customize > Skills > + Create skill > Upload a skill (Pro/Max/Team/Enterprise; requires code execution enabled in Settings > Capabilities)
Claude	User Profile / Styles	Settings > personalization hub (profile instructions are account-wide; styles set tone)
Claude	Project Instructions	Inside each Project on claude.ai sidebar
Claude	Memory	Settings > Capabilities > "View and edit memory"
ChatGPT	Custom Instructions	Settings > Personalization > Custom Instructions (1,500 char limit per field)
ChatGPT	Personality	Settings > Personalization > Personality (preset + Characteristics sliders)
ChatGPT	Custom GPTs	chatgpt.com/create; published GPTs discoverable at chatgpt.com/gpts
ChatGPT	Project Instructions	Inside each Project (sidebar > Project > Add Instructions)
Gemini	Personal context	gemini.google.com/personal-context (was gemini.google.com/saved-info)
Gemini	Custom Gems	Gem Manager in sidebar
Gemini	Notebook context	Inside each Notebook (Projects-like workspace)
Consumer Copilot	Memory	Profile menu > Personalization; can also say "remember that…" in chat
M365 Copilot	Personalization	Account-level memory (separate from consumer); voice chat can reference memory
M365 Copilot	Custom agents	Copilot Studio (copilotstudio.microsoft.com) — included with M365 Copilot license for internal use
GitHub Copilot	Spaces	github.com > Copilot > Spaces (bundle repos/PRs/issues/files as shareable context)
GitHub Copilot	Coding agent jobs	Assign GitHub issues to Copilot — the cloud agent works on them and opens PRs

Critical Distinction for Claude Users

Claude skills started life as local markdown files version-controllable via git. As of 2026, Claude has caught up on the cloud side too: skills now upload to claude.ai via Customize > Skills. The full landscape:

• Claude: Local files (~/.claude/skills/) OR uploaded .zip via Customize > Skills. Both work. Most powerful and version-controllable.
• ChatGPT: Custom GPTs (server-side, GUI builder, marketplace at chatgpt.com/gpts)
• Gemini: Custom Gems (server-side, GUI builder, files + Drive linking)
• Microsoft 365 Copilot: Copilot Studio agents (low-code builder, deploy to Teams/M365 Chat)
• GitHub Copilot: Copilot Spaces (context bundles for code work, shareable within an org)
• Consumer Copilot: No custom agent builder — your only persistence is Memory + Library

Claude skills remain the most version-controllable option. The GPT/Gem/Studio paths are more accessible for non-engineers.

Onboarding Guide: First 15 Minutes on Each Platform

The goal: make the AI theirs immediately, not a generic chatbot.

Step 1: Set Your Identity

On ChatGPT:

1. Settings > Personalization > Custom Instructions
2. Fill in "What would you like ChatGPT to know about you?" — name, role, expertise level, use cases
3. Fill in "How would you like ChatGPT to respond?" — tone, format, length
4. Optionally set Personality (Friendly / Efficient / Professional / Candid / Quirky / Cynical / Nerdy)
5. Limit: 1,500 chars per field

On Gemini:

1. gemini.google.com/personal-context (or Settings > Personal context)
2. Add entries: "My name is X. I work as Y. Explain things at [beginner / intermediate / expert] level."
3. Alternative: tell Gemini "Remember that I prefer concise answers and work as a data analyst"
4. Memory is on by default — toggle Temporary Chats when you want no-memory sessions

On Microsoft Copilot (consumer):

1. Profile menu > Personalization
2. Tell Copilot "Remember that I…" — it confirms and saves
3. View/edit saved facts under Personalization settings
4. ⚠️ Note: This memory is separate from any work Copilot (M365) memory

On Microsoft 365 Copilot (work):

1. Memory is managed in your work account's personalization settings
2. Your IT admin may have memory disabled or restricted by policy
3. Tenant data (your docs, emails, calendar) is automatically available via Microsoft Graph — no setup needed

On Claude (reference):

• Settings > Profile / personalization hub
• Or: "Please remember that I…"

Step 2: Create Your First Workspace

On ChatGPT:

1. Sidebar > "+" next to Projects > name it
2. Upload files (5 on Free; 25 on Go; ~20 on Plus; 40 on Pro/Business/Enterprise)
3. Project menu > Add Instructions
4. Chats inside share project context

On Gemini:

1. Sidebar > Notebooks > New (requires AI Plus, Pro, or Ultra)
2. Add sources — up to 600 depending on tier
3. Set custom instructions
4. Alternative for an agent-style assistant: Gem Manager > New Gem (writes to a role; attach 10 files / 100 MB each)

On Microsoft 365 Copilot:

1. Copilot home > Notebooks > New notebook
2. Add references from SharePoint, OneDrive, Teams, or uploaded files
3. Add Pages for collaborative content; Copilot can generate Word/PowerPoint from notebook contents

On Consumer Copilot:

1. No formal Projects — but Library collects your Pages, images, and generated content
2. Use Copilot Pages for ongoing collaborative documents

On Claude (reference):

• Sidebar > New Project > add files, set instructions
• For Claude Code users: drop a SKILL.md in ~/.claude/skills/<name>/
• For claude.ai users: Customize > Skills > Upload a skill

Step 3: Teach It Your Preferences Over Time

All platforms learn from conversations. Explicit > implicit.

Action	ChatGPT	Gemini	Microsoft Copilot	Claude
Save a fact	"Remember that I'm vegetarian"	"Remember my daughter's name is Mia"	"Remember that I prefer concise answers" (consumer)	"Please remember that I prefer R over Python"
View what it knows	Settings > Personalization > Manage Memories	Settings > Personal context	Profile > Personalization (consumer); account settings (M365)	Settings > Capabilities > View and edit memory
Delete a memory	Manage Memories > delete	Personal context > delete entry	Personalization > delete	Memory > delete
Chat without memory	Temporary Chat	Temporary Chats	Sign-out / private mode varies	Incognito chats

Platform Strengths: When to Recommend Which

Not "which is best" — which is best for the task.

Task	Best Platform	Why
Long document analysis (100+ pages)	Claude	1M context on Opus 4.7; auto-RAG in Projects when knowledge exceeds context
Code generation and debugging	Claude Code or GitHub Copilot	Claude leads SWE-bench; GitHub Copilot wins if you live in PRs and want autonomous PR-opening
Image generation	ChatGPT (Sora-quality image), Gemini (Nano Banana 2 — strong text rendering, infographics)	Both excellent; Claude can't generate images
Video generation	Gemini (Veo 3.1, built-in) or ChatGPT (Sora 2)	Native to both; Claude and Copilot have no video gen
Video understanding	Gemini	Native video processing of uploaded clips
Microsoft Office automation	Microsoft 365 Copilot	Native Word/Excel/PowerPoint/Outlook actions; no comparison
Google Workspace integration	Gemini	Native Drive/Gmail/Calendar/Docs Connected Apps
Tenant-grounded enterprise data	Microsoft 365 Copilot	Microsoft Graph grounding across your org's content
Multi-model coding (pick GPT/Claude/Gemini per task)	GitHub Copilot	Only product with model picker across all three vendors
Creative writing	Claude	Less "AI-sounding" prose; pushes back on weak ideas
Research with citations	All five	All have web grounding + Deep Research modes
Multi-modal (image + audio + video + voice)	ChatGPT	Broadest multimodal generation including voice conversations
Privacy-first / no-train-by-default	Claude	Constitutional AI training stance
Live visual prototyping	Claude Artifacts	React/HTML/SVG render live in the interface; now publishable as apps
Spreadsheets/slides/docs as files	Claude (file creation skill) or M365 Copilot (native)	Claude makes real .xlsx/.pptx; M365 edits them inside Excel/PowerPoint
Math-heavy reasoning	ChatGPT (GPT-5.4 Pro) or Gemini 3.1 Pro	Both strong on pure math benchmarks
Async coding agent that opens PRs	GitHub Copilot coding agent or Jules (Gemini)	Live in GitHub; Claude Code is interactive rather than autonomous-async
Windows desktop integration	Consumer Copilot	Copilot key, Click-to-Do, Recall, Edge sidebar — built into the OS

Claude Code vs the World: Coding Tool Comparison

If a colleague asks about coding assistants specifically, this table is the cleanest comparison.

Capability	Claude Code	OpenAI Codex	Gemini Code Assist / Jules	GitHub Copilot
Terminal CLI	✅ Yes (primary surface)	✅ Codex CLI (open source)	Limited	✅ GitHub Copilot CLI
IDE extensions	✅ VS Code, Cursor, Windsurf, JetBrains	✅ VS Code, Cursor, Windsurf	✅ VS Code, IntelliJ	✅ Broadest (VS Code, JetBrains, Visual Studio, Xcode, Neovim)
Desktop app	✅ Redesigned 2026 (parallel sessions, diffs, scheduled tasks)	✅ Codex Mac app	❌	❌
Web (no local clone)	✅ claude.ai/code	✅ Codex Cloud	Partial (Jules is cloud-based)	✅ Spaces + Workspace on github.com
Model choice	Claude only (Opus / Sonnet / Haiku)	OpenAI only	Gemini only	Multi-vendor: Claude, GPT, Gemini
Autonomous PR opening	❌ (interactive)	Codex Cloud (background tasks)	✅ Jules (async GitHub agent, open beta)	✅ Coding agent (assign issues, get PRs)
Native repo grounding	Via filesystem access	Via filesystem access	Via Jules	✅ Native (PRs, issues, Actions, Codespaces)
MCP support	✅ Local + remote MCP servers	Limited	Limited	Limited
Pricing model	Included with Pro/Max/Team/Enterprise	Included with Plus/Pro/Business	Free Code Assist tier; Jules in beta	⚠️ Moving to token-metered usage-based billing June 1, 2026 (annual plans being retired)
Best for	Long agentic sessions, file-heavy work, custom skills	OpenAI-stack shops, Codex Cloud delegation	Google-stack shops, async PR work	Multi-language teams who live on GitHub

Common Translation Scenarios

"I use Claude Projects to keep my work organized"

→ ChatGPT: "You want Projects — same name, same concept. Sidebar > New Project. Upload files, set instructions, chats share context." → Gemini: "Use Notebooks for the closest match (up to 600 sources, persistent instructions). For an agent-style assistant attached to a role, use a Gem instead." → M365 Copilot: "Copilot Notebooks — collect references, Pages, and chats in one workspace. Bonus: you can generate Word/PowerPoint from notebook contents." → Consumer Copilot: "No true Projects equivalent. Closest is Library (collects your Pages and generated content), plus saved memory."

"I set up User Preferences so Claude knows my style"

→ ChatGPT: "Settings > Personalization > Custom Instructions (1,500 chars). Also try Personality presets (Friendly / Efficient / Candid / etc.)." → Gemini: "gemini.google.com/personal-context — add facts there, or just tell Gemini 'Remember that I prefer…' in chat." → M365 Copilot: "Memory is account-level — say 'Remember that…' or use your work account's personalization settings. Note: separate from any consumer Copilot memory." → Consumer Copilot: "Profile > Personalization, or say 'Remember that…' Copilot will confirm and save."

"I have Claude skills that customize behavior for specific tasks"

→ ChatGPT: "Build a Custom GPT at chatgpt.com/create. Name, instructions, attach files, no coding needed. Publishable to the GPT Store." → Gemini: "Create a Gem. Gem Manager > New Gem. Detailed instructions, attach up to 10 files (100 MB each). The magic wand expands your instructions." → M365 Copilot: "Build a Copilot Studio agent. Low-code GUI. Included with your M365 Copilot license for internal use; deploys to Teams and M365 Chat. External publishing needs a standalone Studio plan." → Consumer Copilot: "No agent builder exists for consumer Copilot. Use saved Memory + Library for ongoing context instead."

"I use Artifacts to preview code and docs"

→ ChatGPT: "Closest is Canvas — side panel for collaborative editing. Click the Canvas icon or ask 'open in Canvas.'" → Gemini: "Gemini has Canvas too — docs, code, web apps, slides. Exports to Google Docs. Can convert output to Audio Overviews or quizzes." → M365 Copilot: "Copilot Pages — collaborative canvas; with Work IQ it can render interactive visuals/apps grounded in tenant data." → Consumer Copilot: "Copilot Pages — same canvas idea, content lands in Library for later access."

"I use Claude's memory to avoid re-explaining myself"

→ ChatGPT: "Two layers: Saved Memories (explicit) + Reference Chat History (learns from past chats since April 2025). Settings > Personalization > Manage Memories." → Gemini: "Personal context (memory ON by default) — manage at gemini.google.com/personal-context. Use Temporary Chats when you want no-memory." → M365 / Consumer Copilot: "Copilot has its own memory layer per identity. ⚠️ Consumer and M365 memories are separate — don't expect them to share."

"I use Claude Code for agentic coding work"

→ OpenAI: "Codex is the equivalent — CLI, IDE extensions, Mac app, and Codex Cloud for delegated background tasks." → Gemini: "Jules (open beta) is an async GitHub agent — assign work and it opens PRs. Gemini Code Assist for in-IDE help." → GitHub Copilot: "Different model — GitHub Copilot lives in PRs and issues. Its coding agent opens PRs autonomously from assigned issues. Its big differentiator: you can pick Claude, GPT, or Gemini from one dropdown."

"I use MCP to connect Claude to my tools"

→ ChatGPT: "Apps (formerly Connectors, renamed Dec 2025) — Drive, GitHub, Linear, HubSpot, Outlook, Teams, etc. Connect via Settings > Apps." → Gemini: "Connected Apps (formerly Extensions) — Workspace (Drive/Gmail/Calendar/Docs), Maps, YouTube, Flights, Hotels, Photos." → M365 Copilot: "Built-in Microsoft Graph grounding gives access to your tenant's docs/emails/calendar. Plus Copilot Studio connectors for external systems."

Pricing Quick Reference (verified May 2026)

Tier	Claude	ChatGPT	Gemini	Microsoft Copilot
Free	Limited messages, Sonnet/Haiku	GPT-5.3/5.5 with limits	Gemini 3 Flash, basic features	Consumer Copilot free; M365 Copilot Chat free with eligible M365 plans
~$20/month entry	Pro $17/mo annual ($20 monthly) — 5× usage, all models, unlimited Projects	Plus $20/mo	Google AI Pro ~$20/mo — 1,000 AI credits, YouTube Premium Lite bundled (some markets)	⚠️ Copilot Pro discontinued Oct 2025 → see Microsoft 365 Premium below
New mid-tier	—	Go (new, between Free and Plus)	Google AI Plus (price varies by region)	Microsoft 365 Premium — for 1–6 people, 6TB storage, full Copilot AI features
$100+ power user	Max from $100/mo (5×) up to ~$200/mo (20×)	Pro $200/mo — unlimited, GPT-5.4 Pro, Sora 2 Pro, Pulse, Codex Cloud	Google AI Ultra $100/mo or $200/mo (top tier reduced from $250) — Project Mariner, Deep Research Max, YouTube Premium	—
Team/business	Team $20/seat/mo annual ($25 monthly); Premium $100/seat annual	Business $20/seat annual ($25 monthly) — renamed from Team Aug 2025	Included in Google Workspace Business+	M365 Copilot ~$30/user/mo annual; GitHub Copilot Business $19/user/mo
Enterprise	$20/seat + API rates	Contact sales	Workspace Enterprise plans	M365 Copilot enterprise; GitHub Copilot Enterprise $39/user/mo

Branding changes since early 2026:

• ChatGPT "Team" → "Business" (Aug 2025)
• ChatGPT "Connectors" → "Apps" (Dec 2025)
• Google "Google One AI Premium" → "Google AI Pro / Ultra"
• Microsoft "Copilot Pro" (standalone) → discontinued; folded into Microsoft 365 Premium (Oct 2025)
• GitHub Copilot billing → moving to token-metered usage-based billing June 1, 2026

Tips for Helping Friends and Colleagues

1. Ask which Copilot. If someone says "I use Copilot," your first question is always: consumer, work (M365), or GitHub? The answer changes everything — different account, different memory, different features.

2. Start with identity, not features. The single biggest unlock on every platform is telling the AI who you are. Everything else builds on that.

3. One workspace, one purpose. Whether it's a Project (Claude/ChatGPT), Notebook (Gemini/M365 Copilot), Gem (Gemini), or Space (GitHub Copilot), scoping the AI to a specific job makes it dramatically better.

4. Explicit > implicit memory. All platforms learn from conversations, but explicitly saved preferences are more reliable and persistent.

5. Don't compare features 1:1. Each platform has genuine strengths — Claude for long context and skills, ChatGPT for multimodal breadth, Gemini for Workspace integration and video, M365 Copilot for Office work, GitHub Copilot for code-in-context. Match the tool to the actual work.

6. Memory does not roam. On Microsoft, the three Copilots have separate memory stores. On other platforms, your account is the unit of memory — sign in with the same account everywhere or expect amnesia.

7. Show, don't tell. The best onboarding is sitting with someone for 15 minutes and setting up their identity + first workspace together.

8. Watch the pricing-page rebrands. Tier names change every few months on every platform. When the prices in this doc look stale, treat the concepts as durable and re-verify the dollar amounts.

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Last verified: May 2026. AI platforms change features frequently. When in doubt, check official docs.

Sources: docs.claude.com · support.claude.com · help.openai.com · support.google.com/gemini · learn.microsoft.com · docs.github.com/copilot