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17 use cases
Source checked means automated checks passed. Reviewed by Mario means personally checked. Summaries are AI-assisted; claims and results belong to the linked sources.
Teacher Casey Cuny uses ChatGPT to identify patterns in anonymized short answers and plan targeted follow-up teaching. A demonstrated workflow takes about 30 minutes. Replacing two evenings of analysis is his reported comparison, not a controlled study.
Jamie's Farm Granola uses Gemini to organize stock tracking. Google reports 20 hours less paperwork per week; the article provides no measurement method.
A New Mexico franchise operator uploads restaurant cash records and bank data to ChatGPT Work for monthly reconciliation. He reports reducing the task from three hours to five to ten minutes. These are operator-reported timings, without an independent audit.
Bison Coolers uses Gemini in Meet to capture notes and email action-item summaries. Its owners also use Gemini in Gmail to catch up on conversations and draft replies while traveling. The story describes everyday use without quantified savings.
Fullstory uses Gemini to summarize meetings and turn takeaways into short video scripts. Staff then create narrated videos with Google Vids for customer communication, prospecting and event follow-up. The customer describes faster production without quantifying savings.
The Original Tamale Co. used ChatGPT to build and publish a farmers-market tracker in one afternoon. The operator had no coding experience. No comparative development cost is provided.
Pennsylvania piloted ChatGPT Enterprise for writing, research, summarization and IT support. Participants reported average savings of 95 minutes per day while using it. The result is self-reported, rather than an independently observed productivity measurement.
Wealth.com's Ester extracts beneficiaries, distributions and provisions from estate documents, linking findings to the original PDF for advisor review. Its customer-authored vendor post reports average analysis below two minutes. Building the system required annotated documents and legal expertise.
Drive Social Media built Project Phoenix, a 95-step Zapier workflow that collects company and marketing data for sales preparation. It combines AI steps, ChatGPT and external APIs. The story documents production use; it does not provide an isolated time-saving measurement for Phoenix.
Freshy uses Zapier and AI to enrich and prioritize requests for a support operation covering over 2,800 websites. Related workflows identify sales opportunities and draft articles from resolved developer tasks. The agency reports scaling support without additional headcount, without a controlled savings calculation.
Teacher Sarah Dully uses ChatGPT to update examples, simplify directions, draft sentence starters and create alternative assignments. The account includes literature-linked mathematics activities. Reduced preparation burden is described without quantified savings.
The Village Store's two-person team uses Gemini in Sheets for accounting. Google's customer roundup gives no quantified savings.
The Patrick J. McGovern Foundation uses Claude in Grant Guardian to extract financial indicators from nonprofit documents and prepare standardized profiles. The republished Anthropic case reports use by over 100 US philanthropies and qualitative time savings. Funding decisions remain with people.
Minnesota's Enterprise Translations Office uses ChatGPT Team for translation services serving multilingual communities. OpenAI reports lower costs and faster turnaround, but the cited account gives no numerical results or published quality evaluation.
Newfront uses Claude in a benefits assistant that answers questions using each client's plan details. In an internal test, Claude answered 12 of 20 difficult questions correctly. Newfront claims HR teams recover one month annually; the story provides no measurement method for that saving.
A Utah court filing contained a nonexistent case generated through ChatGPT. According to the court account reported by heise, the responsible lawyer had not checked the draft. The court ordered cost reimbursement and a $1,000 payment. This is a documented failure case.
A University of Arizona astrophysicist uses Codex to propose numerical approximations and algorithms for plasma simulations. He reports generating candidates in minutes instead of days. Each approximation still requires scientific implementation and verification.
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