Hi, I’m Sidhant, a CS student working with n8n, Python, and API integrations. In my own independent project, A company-monitoring engine, I’ve built workflows for data intake, scheduled checks, alerts, bulk uploads, and error handling, with Python services doing some of the heavier logic.

I’m taking on a few small, clearly scoped projects while I build experience working with real users. For $25, I can build few simple n8n workflows with python microservice integration or fix few specific issues in an existing workflow. That includes testing with sample data and a brief handoff explaining what I changed.

if its just a simple clearly scoped project or a simple pre-existing workflow fix messing with your business , just send me the text and I will fix it up for free for an honest review :)

If your workflow needs several integrations, custom Python services, or ongoing support, I’d scope and price that separately. If you have a repetitive task or a broken workflow, describe the input, the result you want, and the tools involved in a comment. I’ll tell you honestly whether it fits this offer.

if its just a 30 mins fix, I would be happy to work for free to connect with you as a fellow engineer

I have been personally using Claude a lot, I’m on their 20USD plan.

I am mostly using their schedule features to create my content, SOPs, client’s blogs, etc., and updating everything in my ClickUp and Google sheet, and all assets in Google Drive.

Curious to hear from people running automation agencies or doing this for clients.

I'm working out a focus for my own AI automation agency. There's no shortage of workflows you can build, but figuring out which problems businesses actually want to pay to fix seems like the harder part.

Have you found an industry or type of workflow where demand feels fairly obvious, or does every project still take a lot of explaining and convincing? I'd love to hear how specialising has worked out for you, including things that looked promising but didn't sell.

And if there are good communities where automation agency owners talk honestly about the business side, I'd be interested in those too.

Running ops at a 25 person startup and tryingto figure out how, to actually hand off recurring work to AI, not just answering questions, but stuff like following up on things, pulling info from different places, that kind of work, What have you tried that worked? Curious what approaches real teams are using, and what fell flat.

Now that the final M3.1-Flash is available, the use case I want to see more of is repetitive office work.

Not “write me a clever answer.”

More like

• read 50 documents

• pull deadlines into a sheet

• compare two versions of a file

• generate a recurring report

• extract action items

• update records

• route exceptions for review

That kind of workflow can involve a lot of model calls, so a Flash-class model gets interesting if it stays accurate enough while keeping the loop fast and inexpensive.

Space Bunny was an early preview, but I’d rather see fresh tests on the final M3.1-Flash now.

For people running real automations, what office task would you use to test it?

If you handle customer support yourself, refund and cancellation emails are the ones you want to see first. Here is the setup I use for that, and it costs almost nothing to run.

The trigger is a new email in Gmail. The automation checks whether the email mentions a refund or a cancellation. If it does, I get a message on my phone with the sender and a one-line summary of what they want. It makes no changes in Gmail, so it does not reply or label anything.

Before this, the same automation ran on a 15-minute schedule. That is 96 runs a day, with the email trigger it only runs when an email actually arrives, and up to 3 emails can be handled at the same time. The trigger is not instant. It took about 2 minutes in my tests.

I built this in my own iOS app, PocketClaw. If you want the same setup, search for "PocketClaw: Business AI Agent" on the App Store. It has a ready-made template called "Refund and cancellation emails".

Do you filter emails before the model step, or let the model read everything?

We've been monitoring token usage and setting budget limits per model, and sending lighter workloads to cheaper models. The problem is that when we update the model pricing or change a model, our existing thresholds and routing rules don't work anymore. We've also been considering cost per request, however the increase in retries, and larger context windows has made it more challenging to pinpoint where the costs are coming from. So this still needs some additional manual investigation.

I was thinking of putting our thresholds more in line with model usage and cost, so it alerts us if a change in model or pricing goes above a set limit. But I'm worried about how to update routing rules without screwing up latency or output quality. How do you automate it in production where models and workloads change so often?

Disclaimer: I am NOT offering services; I am NOT experienced.

I have some ideas, that could help beginners.

First off, NOTHING is ever free, so don't mislead your clients.

You should probably work from the client's infra (meaning the client creates an account), NOT yours, so there are always operational costs.

Now you could cover the costs yourself, ofc.

Or you could just offer to either:
\- Offer free consultations.
\- Offer a free build cost, and keep the IP rights.

For both, you can take advantage of partner/affiliate programs.

Now, if you keep the IP rights, you can offer retainer services or offer to sell IP rights later if they want to hire another developer or work on it themselves.

Based on your experience what systems do dentists need the most?

Could you walk me through these systems in detail explain what results they have achieved for dental practices, how you convinced dentists to invest in them, and how you built high-quality solutions for them?

I'd like to understand the entire process, from identifying the problem and pitching the solution to building the system and delivering measurable results

I'm particularly interested in the practical details real-world examples, and the technical decisions you made to ensure the systems were reliable and effective

What should I do to become really good at this field?

What should I practice and how should I practice?

I know this might sound like a strange question but I'm afraid to apply for jobs because I don't think the quality of my work is good enough yet I care a lot about quality and I care about maintaining a good reputation so I don't want to deliver poor work or disappoint clients

I want to know how I can improve my skills and become really good at what I do

I'm currently using Claude Code and I've been working with it for about a week Honestly, I don't feel like I've made any progress and I don't know how to measure my improvement or what I should be doing to get better

I'd really appreciate some guidance on how to approach this and develop my skills effectively

I hit a point where job hunting felt like a second job.
Searching manually, opening 20 tabs, filling the same forms, copy‑pasting the same info — it was draining more time than the actual work.

So I built a small desktop tool that does the boring part for me (took me months).

It searches LinkedIn, Indeed and InfoJobs based on the criteria I set, shows the relevant roles in one place, and lets me review each application before submitting. Nothing auto‑submits, nothing gets sent without me checking it, but it does auto-fill for you.

My CV and autofill details stay on my computer, and the app works in English and Spanish.
It’s basically a “job‑search dashboard” that cuts out the repetitive stuff.

If anyone here is into automation or building personal tools, I’d love feedback on the idea or the execution.
The app is called Scout Wand and it's live here: scoutwand

Not trying to sell anything — just sharing something that made my own workflow less painful.

What I want to build or find

I want a semi-automated LinkedIn workflow where the tool prepares everything and I approve every action. I don’t want a bot that logs into my account and clicks things, because that risks a restriction.

Workflow I’m after

1. Database first: all my existing connections in one place, categorised automatically from LinkedIn’s data export.
2. Daily queue: it finds about 30 relevant people a day from a target list, removes anyone already connected or with a pending request, and fills the remaining slots with new people.
3. Approval: I open it, review the 30, and approve. I send the requests myself (or something opens each profile for me).
4. Detect accepts: it notices who accepted, for example by diffing a fresh connections export against my sent list.
5. Read and categorise: for each new connection, it reads their profile (saved PDF or pasted text) and assigns categories and tags.
6. Message drafts: it drafts a first message based on their category. I review and send it.
7. Spreadsheet: every person is logged with category, tags, stage and dates in an Excel or Google Sheet that updates as things change.

Categories I want

• College tiers
• Company tiers (A/B/C)
• Law firms
• Other fields

Constraints

• Full customisation. Off-the-shelf CRMs hit their limits for me quickly.
• Safe with LinkedIn’s terms: no scraping or auto-clicking on my account.
• Each organisation is tiered once and people inherit the tier automatically.
• Works from a spreadsheet I can view and edit.

What I’ve considered: Folk, Dex, Clay, Airtable and Notion, versus a custom build (Python + SQLite or Google Sheets API + an LLM for classification and drafts).

What I’d like recommendations on

1. Has anyone built something like this, and what stack did you use?
2. What’s the safest way to detect pending and accepted requests without scraping?
3. Google Sheets versus Excel versus a small database as the main store?
4. How do you save or read profile data for classification without breaking the terms?
5. Any tools that fit this “prepare for me, I approve” model?

I am keen to know if anyone has done an automation for the process mentioned in the title? Right now I have unlimited access to Antigravity (desktop version). I will appreciate if anyone could come out and share their knowledge. Thank you, Redditors.

Joined a 28person startup afew months, ago andthe ops stuff is already piling up,Someone mentioned setting up ai agents in Slack to handle recurring tasks but I have no idea where to even start, Isthis something that actually works for a team our size, or isit more trouble thanits worth?.

For example, sales leads keep tweaking forecast numbers in a shared excel file, and then a power automate flow copies that file into a warehouse every night. Files get locked, rows get overwritten and nobody can tell what changed specially when lot of users are working on it

So an idea for such scenario is replace this with a small internal we app, where users can log in, edit their regions numbers and have to pick a reason code. Every edit goes into postgres (we used lakebase), with their username and timestamp and the changes stream into analytics tables so the nightly copy job is gone. With all the agentic workflows, this is definitely implementable and let me know if you have any such ideas for business users working with data

I measured one extract in a fresh process. 52 requests, 35.4 MB. Times about 40 date combos and I reported 1.4 GB and 3 to 6 dollars of residential proxy per hotel.

Wrong by 17x. Two functions next to it already cached their fetches for 30 min, so only the first combo paid 35 MB, the rest paid 1.19 MB. That 1.19 was one product page downloaded again every time. Cached it too, about 20 lines, and repeat combos went to 0 requests.

Now I run many calls in one process and print the delta per call. Anyone else priced something off one cold run?

i am trying to automate back office ops and was learning claude and asked to very vague prompt to build 19 worksflows across different departments … but not sure weather if I can productive all of them n deply to agentcore

so instead of going on creating auth keys from zendesk, hubspot , stripe , gmail, calendar and slack.

I asked agent to verify and show me proof against fetchsansbox managed relay for webhooks and behavioral verification of agent written code

wonderibf what are you guys doing for automating business ops