> ## Content Index > Fetch the complete content index at: https://www.thelittletalk.com/llms.txt > Use this file to discover other available public pages before exploring further. # What we use Claude for: 16+ real jobs at a garment factory - URL: https://www.thelittletalk.com/what-we-use-claude-for-en/ - Published: 2026-10-27T05:02:34.000Z - Updated: 2026-10-27T05:03:36.000Z - Description: The jobs I give Claude as the owner of an export garment factory, in 5 groups: from running ads and low-fabric reports to production capacity and booking hotels. Plus how to start your first one in a day. - Author: Nes Nitcharee - Tags: English, AI in practice When we started using AI seriously, our first question wasn't how smart it is, or how much it costs. It was: **with the budget we have, what can AI actually help us with, and how do we get the most out of it?** We didn't have the answer on day one. So we picked one job, set a goal for it, let AI try, checked the result, adjusted, and looped. Jobs that worked stayed. Jobs that weren't worth it yet got reworked. One example: when we first had AI help answer customer chats, we had Claude read through every chat every 4 hours, assess how well the chat AI was doing, then update its work plan and knowledge base. That early phase uses more, because we were tracking so closely. **After looping like this for a while, Claude now handles more than 16 jobs for us.** The full detail is much longer. Each job will get its own “experiment log” in the coming weeks, including the parts that broke. ## The short version 1. Start from the budget you have, ask which job AI can do best for it, then test, adjust and repeat. 2. The jobs fall into 5 groups: ads, web and content, team and factory reports, systems and projects, and personal assistant work. 3. Most reports arrive on a set schedule, some daily, some Monday/Wednesday/Friday. Nobody has to ask for them. 4. AI helps our team move faster and more accurately. It does not replace people. ## 1\. Ads - Runs our Meta and Google ads. - Reports daily on whether the ads are worth it, by reading the messages customers send in, counting how many are genuinely interested, and turning that into a percentage against the ads we ran. - Picks new content to promote, based on the KPIs we set. What makes this different from a normal ad report: we don't just look at clicks or message counts. We look at how many of the people who message us are actually interested. ## 2\. Web and content - Vibe-codes our front-end and back-end web: we tell AI what we want, and AI writes the code. - Builds our company website in Thai and English. - Writes our blog and email marketing. - Market research, branding and content. Our factory ERP is built by our business partner. Several of the reports below pull their data from that system. ## 3\. Team and factory reports - **Daily:** how the sales team and our customer-chat AI are performing. - **Monday, Wednesday, Friday:** fabrics running low, so the team knows before we run out, checked against our fabric purchase orders. - **Monday, Thursday:** how much production capacity is left, how much work is coming in, how full we are, whether sales can take more work or a rush order, where jobs are stuck, and what needs to happen first. - **Sales by person:** against target, how much is left to close, what payments can still be collected, where the pipeline drops off, plus coaching. What these reports have in common: a clear schedule, and each one answers a question the team has to make a decision on. They don't just send numbers. ## 4\. Systems and projects - SLAs, SOPs and work instructions for the whole company. - Internal projects, such as trade show booths and factory improvements. - Slides for when I speak or teach. ## 5\. Personal assistant - Booking hotels, trains and museums when I travel abroad. - Scheduling and other odd jobs. ## AI isn't replacing anyone Every job on this list has a human owner. AI reads, compiles and drafts. The people who decide, take over and stay responsible for the work are still us and our team. **AI helps our team move faster and more accurately. It does not replace people.** ## If you want to try this, start today 1. List the jobs you or your team repeat every week. Just 10. 2. Circle the ones that are really “repeat questions”: are we running low, are we on target, where is work stuck? 3. Pick one. Give it a clear schedule, like every Monday at 9am, and decide who reads it and what they have to decide. 4. Let AI run that report for 2 weeks, then ask your team whether they could actually decide anything with it. If not, fix the question before adding a new job. **If you had one AI assistant, which job would you give it first?** Tell me on LinkedIn. — Nes · LittleTalk: small stories from a real business that you can actually use. *This article is also available in Thai:* [*เราให้ Claude ทำอะไรบ้าง*](https://www.thelittletalk.com/what-we-use-claude-for/)