How
AI Assistants for Email Drafting and Meeting Summaries
Vendor documentation shows that ChatGPT, Claude, and Gemini differ in upload limits, connected research, data controls, and accuracy cautions, but it does not establish which is best for your email and meeting work.
Sources checked 2 Oct 2026
For AI assistants for email drafting and meeting summaries, vendor pages establish what inputs, research tools, citations, limits, and data controls are documented—not which assistant will handle your work best. You still need to compare the products using your own email threads, meeting materials, and review standards. Chat Picker has not tested the assistants for this use; this rewrite removes the older page’s unsourced statistics and test results.
What the vendors document
As read on October 1, 2026, the vendor pages show:
| Assistant | Free plan | Main paid plan |
|---|---|---|
| OpenAI’s ChatGPT pricing page | Yes. Text chats are available, while uploads, images, voice and deep research are limited. | Plus is $20/month, billed monthly. |
| Anthropic’s Claude pricing page | Yes. It includes chat on web, desktop and mobile, plus web search, file creation, code execution and memory. | Pro is $20/month, billed monthly. |
| Google’s US AI plans page | Yes, with a Google Account. | Google AI Pro is $19.99/month. |
OpenAI and Anthropic describe usage limits without publishing exact message counts on their pricing pages. Google says its compute-based limits refresh every 5 hours, up to a weekly limit. A free-plan label therefore does not settle document-heavy work.
Meeting files create another set of limits. OpenAI’s file uploads FAQ says Free users have 3 file uploads per day, Free projects hold 5 files, each file is capped at 512MB, and text or document files are capped at 2M tokens except spreadsheets. Anthropic’s upload help says chat uploads are 500MB per file, project files are 30MB, and PDFs of 100 pages or fewer receive text and visual analysis; PDFs from 101 to 1000 pages are text-only. Google’s Gemini file-upload help says a prompt can include up to 10 files, subject to availability; each video can be 2GB, other supported files can be 100MB, and Pro or Ultra audio can total 3 hours. All upload figures are as read on October 1, 2026.
Data handling is not one switch. OpenAI’s file uploads FAQ, as read on October 1, 2026, says uploaded files follow their chat’s retention period and are deleted from OpenAI’s systems within 30 days after the related chat, account or custom GPT is deleted, subject to stated exceptions. Its pricing page says a training opt-out is available on Free, Go, Plus and Pro. Anthropic’s pricing page says an opt-out is available on Free, Pro and Max, and that Team is not trained on by default; its upload page does not state a deletion period. Google’s plans page does not state a training-on-chats setting, so Chat Picker marks that row Not verified. Google’s Deep Research help says past reports can be found only when Keep Activity is on.
Connected research adds another decision. OpenAI’s Deep Research help says completed outputs include citations or source links. Anthropic’s Research help says Research is available on paid Claude plans and can search connected Gmail, Google Calendar and Google Docs as well as the web. Google’s Deep Research help says Gmail and Drive can be added when the Google Workspace app is connected. These pages were read on October 1, 2026. They document research inputs and cited outputs; they do not say that these research tools send email or change a calendar or task.
Accuracy still needs checking. OpenAI’s accuracy guidance says ChatGPT can be incorrect or misleading and may sound confident when wrong; it advises using responses as a first draft and checking quotes, data, technical information and references to external documents. Anthropic’s incorrect-response guidance says not to rely on Claude as a sole source, scrutinize high-stakes advice and inspect original pages because a synthesis may omit context. Google’s Gemini safety guidelines say outputs can reflect training-data limits, include overgeneralizations and differ because large language models are probabilistic. Google’s source-display help says available source links may include uploaded files and connected Workspace emails.
What the documentation cannot tell you
The documentation cannot tell you whether an assistant will preserve your intended tone, capture every decision, assign an owner correctly, attach a claim to the exact supporting passage or work within your organization’s actual permissions. It also cannot predict which limits you will encounter with your files or connected services.
Feature descriptions establish intended functions, while account, workspace and plan settings affect availability. Your own trial should therefore use representative, non-sensitive material and a review process you already trust.
How to check it yourself
Use the same non-sensitive materials and account tier you expect to use.
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Email drafting. Give each assistant: “Rewrite this for a project manager, preserve the stated constraints, ask for alternative production dates, and finish with a clear next step. Message: ‘The data migration is ready for review. We still need a production date. Please confirm the remaining dependency.’” Look for changed facts, invented urgency and unclear requests. Write down each omission, addition and manual correction.
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Meeting summaries. Give each assistant: “Summarize the transcript under Decisions, Owners, Deadlines and Open questions. Do not infer missing information. Transcript: ‘The launch is moving to the target date. Engineering will update the rollout checklist. The team still needs approval on the support page. No owner was named for the analytics review.’” Look for attributed commitments, preserved uncertainty and invented owners. Write down misassigned actions, missed caveats and interpretation you did not request.
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Reports and research synthesis. Give this source packet: “Create an operations brief. Label each statement as Fact, Recommendation or Unresolved question, and attach the supporting words. Report: ‘The pilot at the downtown and riverside stores received positive feedback. The support team needs a revised escalation guide.’ Note: ‘Some customers still find the form confusing.’” Look for fact and recommendation mixing, source fidelity, dropped qualifiers, added claims and citations that do not support the text.
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Calendar and task management. Start with static notes: “Turn these notes into proposed calendar entries and tasks; do not create, send or change anything. Notes: Design review date: to be confirmed; owner unassigned; legal approval is a dependency.” Look for a clear boundary between proposals and actions. If you connect an account, write down whether the interface requests confirmation before making changes and which permissions it asks for.
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Mixed meeting materials. Give the same authorized meeting packet, including a transcript, slides and a spreadsheet, with: “Create a decision log, action list and concise brief. Quote the source for every decision and flag any item you cannot locate.” Look for traceability through text, tables and images, along with upload or account obstacles. Write down exceptions, missing context and setup changes.
Which rows of the comparison matter
On the ChatGPT, Claude and Gemini comparison matrix, start with Free plan, Low-cost tier, Main paid plan, Heavy-use plans, Team plan, Context window in the app, How usage limits are described, Training on your chats and Ads. Then inspect any entries shown for file handling, projects, connected research and workspace controls.
Give particular attention to settings that could interrupt an actual email or meeting workflow. Treat Not verified as missing information, not as zero. Chat Picker leaves unconfirmed cells blank, and you should confirm plan details on the vendor page before subscribing. A larger context or usage figure is not evidence of better drafts or summaries.