alt Hacker NewsI’m a professional maintenance gardener and I have used NanoClaw running on my Mac to do the following:
Schedule jobs on my job management tool (I vibed it) using a custom MCP. I’ll ask it questions like “what jobs are on today” etc. start the job, complete the job etc.
It will watch Gmail using a MCP for work orders from local real estate agents, where it will schedule quote visits.
After the quote visit I add the photos to telegram (the channel I happen to use) where I then ask it to analyse the photos.
Claude in NanoClaw does a good job of figuring out what needs to be done, but it doesn’t always get it quite right, so I use intake-api which is a “session inbox” [1] that generates a form and uploads it to Cloudflare along with the images and puts a link to the form in the chat so I can make adjustments to the annotated images of the property. After I’m happy, I click submit.
I’ll then go back to the telegram channel and let it know I have submitted the form. Claude will then pull the JSON payload back down into the session and integrate it into the quote.
It will ask me questions about what the job will cost etc, and anything else it thinks it needs to know.
It will then generate a full PDF proposal using Latex between 14 and 32 pages long depending on how many photos were taken.
There are sections with terms and conditions as well as a bit of sales guff etc. as well as quite a nice cover page with their contact details and mine etc.
When I’m happy I’ll ask it to create a draft email in Gmail with the attached pdf proposal.
I’ll review it quickly and then send it.
I also have the Xero MCP setup so I can ask it to create invoices and contacts etc.
I do all of this when getting in and out of my truck.
It’s freed up my home life to spend more time with my children and my Mrs.
There is alot of scope for small business owners who need these sorts of agentic assistant tasks and with my Agentic CRM I’m see a glimpse of the future for guys like me I think.
Intake API:
Replies
Great use-case!
I think it's great that you were able to build all of that! It sounds very useful. I'd recommend asking Claude Code to evaluate your entire setup and try to identify areas where a script running on a schedule could replace parts of this framework. You could probably get 90% of it from simple repeatable scripts which would let you save more tokens for things that actually need LLM "intelligence". But if you're happy with the ROI then it seems to be working quite well for you!
how did you prompt it to continue in the loop indefinitely without needing supervision? do you have to check in on it?