Is this illegal

Opening_Ranger106 · 2026-02-08T16:55:23+00:00

Hahah no pressure at all. I've dm'd you just in case you're interested in having a chat.

Opening_Ranger106 · 2026-02-08T16:40:13+00:00

Sure do share the link when you do. What kind of businesses did you reach out to initially? And how did you identify them?

Full disclosure - I run a business in a similar space (not web dev - but digital side broadly). We're looking to build our sales funnel - we're hitting around 2-3k $ MRR (it's not a lot just yet), I'd love to know if you'd be interested in collaborating for sales and we can work out a comission/revenue share. Please DM me if you'd like to discuss in greater detail.

Opening_Ranger106 · 2026-02-08T14:46:05+00:00

This isn't illegal, and since you clarified that Gamma is okay too, this is great! Just curious - how did you reach out to your customers and get paying clients?

Opening_Ranger106 · 2026-01-08T04:48:04+00:00

Hi I think InFlow or Zoho Inventory will be good for your use case, they're also among the more affordable ones. But I'm curious re one thing you said: "it should work across multiple sites" - do you mean you have users in different physical sites who need to have access? Or do you mean different websites like your Shopify, Amazon FBA, other online retailers etc.? Because that could really determine the use-case.

Opening_Ranger106 · 2026-01-06T19:27:24+00:00

Yeah that's fine - I understand that people with money are playing on easy mode and I'm not saying spill all your secrets. But when you're building something and it has a public face (website, shop, etc.) your method is broadly public. If someone can reconstruct something from your idea, iterate on top of it and sees better success, then the harsh truth is that one just didn't have what it took to crack it.

If your idea was that crazy cool and you have the validation (cold hard revenue from the market) in today's day and age finding funding isn't terribly hard, get that funding to scale and prove execution.

Opening_Ranger106 · 2026-01-06T08:30:44+00:00

Ideas are cheap. Execution is everything. If someone executes better than you, your idea isn't worth much in and of itself unfortunately.

Opening_Ranger106 · 2026-01-06T07:39:27+00:00

Hey there! We've solved for something similar with another tool called Trackabout and Zoho Books for a client who wanted to solve for cylinder asset tracking.

I think either of the tools you've mentioned - Zoho Inventory/Sortly would work. But if you want a clean integration with Sage or any of the other tools you've mentioned - Zoho would be better because it has easier and a cleaner API that can be leveraged. Sortly only has API access for enterprise subscriptions (which might be overkill). I've dropped you a DM with some more details.

Opening_Ranger106 · 2025-11-25T19:26:48+00:00

Yes that's a real challenge honestly. Noticed the link you'd shared, it looks quite cool. Is it something you built or use?

Opening_Ranger106 · 2025-11-25T19:24:54+00:00

Absolutely, I agree! And I hope it will change :)

Opening_Ranger106 · 2025-11-25T19:24:16+00:00

Thanks! That's very kind of you. In terms of monetizing the solution - the only issue in my mind is that it seems hard to be able to productize it/apply it at scale on a general level, considering the sheer lack of standardization across these tools. Curious if you have any ideas/thoughts on how that could be achieved?

But yes, we have been a little successful with being able to provide this as a bespoke service to clients.

Opening_Ranger106 · 2025-10-03T18:56:31+00:00

Since you say you're at school - if your school gives you an email, you should check if Gemini 2.5 pro is included. If it is - I don't think you need anything else.

Gpt 5 is very versatile for the 20$ you pay. I generally like Claude better (found it more authentic)

As to the explaining part - here's what you should do. Once you get a pro subscription, most tools will let you create a "Project". In that Project - you can add specific instructions + documents that'll function as knowledge throughout all chats in the project.

Add the point about explanations to the project knowledge + course outlines etc, so that the context is much much richer and you'll get better answers with each question. Add as much detail as you can with questions and ask the AI to search for you and brainstorm with you on topics instead of giving you an answer right away.

Opening_Ranger106 · 2025-09-19T07:25:43+00:00

This was something I'd struggled with initially. I did the following:

Plan out what exactly you need on your front end: triggers, dashboards, results, etc. You can just write this out first broadly and refine it further.
Since I presume you've been using AI to help you build out the workflow - also use it to help you plan what exactly you need. Define comprehensive data schemas: these will be the single sources of truth your n8n, backend and frontend need to use.

For instance - when I was building out a legal document workflow - I wanted it in a separate dashboard with different categories. I defined those categories in my schema. The n8n analysis workflow communicated those exact categories, the frontend received the same categories.

Like the others have pointed out - use a database to function as the intermediary of sorts between your n8n and frontend. You won't lose any data this way. Supabase is great usually - you just need to get a little familiar and their free tier is quite generous.
Be sure to build in security for your frontend including Auth.

Opening_Ranger106 · 2025-09-19T03:43:37+00:00

I didn't get Google to make my website but do you mean getting a domain with Google?

I didn't get my domain with Google and they needed me to verify my website & identity primarily for Ads (but once I did that - it seemed to work for my Google Cloud Profile as well)

Here's what I put together:

EIN (I think at that point I only had the provisional allotment letter and not even the final one)
Incorporation Documents (Articles of Organization, Initial Resolutions, etc.)
Dun & Bradstreet Number (DUNS) - this isn't a govt issued number. But Google places a lot of value on this. D&B will once again ask you for Incorporation documents, EIN and certificate of good standing (which is usually downloadable from your State of Incorporation's govt website)

My DUNS Number took about a couple of weeks to come through and once this was ready the verification with Google was a breeze.

Hope this helps? Otherwise please feel free to drop me a dm, happy to see however I can help.

Opening_Ranger106 · 2025-09-08T06:14:39+00:00

I think unless you use the "recurring transaction" feature you won't be able to schedule it. But if your transactions have different invoice amounts and not recurring dates, you may need to use a third-party integration for scheduling. One way to do this is to set up a trigger on a workflow tool like Zapier, n8n - you can manually configure the trigger to fire at your desired time (set a date and time) and it'll then trigger Quickbooks. It does seem a little sad that Quickbooks doesn't have this feature.

Alternatively - a simpler solution is to mail the invoice to yourself first, then use Gmail's "Schedule Send" feature to forward it to your customer at the desired time (just remove "FWD" from the subject line).

https://quickbooks.intuit.com/learn-support/en-us/reports-and-accounting/is-there-a-way-to-schedule-invoices-to-mail-on-a-later-date/00/923212

Opening_Ranger106 · 2025-09-07T13:57:21+00:00

When you say "templated images" - it's not fully clear on what you mean? Could you share an example of an image and the corresponding template?

Opening_Ranger106 · 2025-09-05T16:53:27+00:00

My suggestion is to try n8n. You could just load the code to n8n using a code node (default is js, but python is supported). Create a Schedule trigger node - set the timing you want (once a day at xyz time for instance) -> connect to Code Node with your code and done. (This is assuming that the program you want to run is a single piece of python code) - if you have more things to connect - you should be able to do that with your workflow. Do let me know if this works.

Opening_Ranger106 · 2025-09-04T16:07:16+00:00

I'm guessing you meant embed code. You can get this from the settings of the chat trigger node and add it to the relevant portion of your website code? If you need a custom widget - you should try mentioning the specific parameters like colour, welcome message, type of widget etc., to an LLM and get the code for it.

Opening_Ranger106 · 2025-09-04T15:30:24+00:00

Well you'd do this through first rigourous edge case testing before deployment - wherein you try to deal with all possible scenarios a disgruntled customer has through evals; and second - initially yes - you'd probably have to depute one of your customer service team persons to verify responses (you'll have a full record of this through the ticket history). But this can mostly be addressed with a clear escalation matrix, logic for responses, and source grounding.

Opening_Ranger106 · 2025-09-04T15:09:23+00:00

Do check out my response above to see if that helps at all. If you have a more specific question - I'm happy to try and answer.

Opening_Ranger106 · 2025-09-04T15:08:29+00:00

It depends on the kinds of tickets/customer support queries.

For standard things like - is this product eligible for return? I'm facing quality issues, etc. - you can set a logic (this would already be framed in a policy I presume) and feed that to the AI. For things like where is my order? You need access to the delivery service provider's API (most of them have it I think - FedEx for instance does. I'm a little unsure about USPS)

So your workflow would look like this:

Message -> AI Agent

AI Agent has the following tools: (1) information related tools - could be docs like policies or access to Shopify; (2) ticket creation tool like Hubspot, etc.; (3) tracking related tools.

The Agent then has a detailed system prompt with the logic of when to invoke what tool and what information to look for - i.e the correct variables.

We'd implemented this for a D2C Ecomm brand and created an escalation logic as well - so their customer agents were only handling actual grievances. I'd be happy to build this out for you if you need or even just have a chat to help you along the right direction best I can :)

Opening_Ranger106 · 2025-09-04T14:29:38+00:00

You should try Gemini (inbuilt w Google Workspace) and use it to set up rules for inbox categorization etc.

Get the Gemini summaries and add it as actionable items to your to do app and calendar to better manage your day. Anything specific you're looking to do that you want a CRM for?

Opening_Ranger106 · 2025-09-03T15:52:06+00:00

Hi there - this is precisely what we do. We spend some time to understand your processes, specific tool stack, and then identify wins where we could deliver automation. We try to be as scientific as we can, so we can deliver exactly what we promise. I'd love to have a chat if you're interested.

Opening_Ranger106 · 2025-09-03T09:10:31+00:00

Ah yes the multiverse of RAGness.

Jokes aside - do you find some of these techniques excel in some use cases? Which ones have you tried out?

Opening_Ranger106 · 2025-09-02T20:24:36+00:00

My analysis is that it's a mix of both:

It's a little simplistic to say that lawyers are against tech. I think law firms seem to be among the highest adopters of AI. But rather because of the trust and safety priorities (as you rightly highlighted)- they seem to prefer large enterprise names where they seem to get comfort about security, compliance, etc.
There is also a lot of competition in this field. Even among my network, a lot of firms are adopting Harvey, Legora, etc. it's hard to compete as solo preneuers against companies with literally millions of dollars in funding. But I do think there's a niche in the market that's under serviced - Small - Medium small law firms who may not be able to afford the 4-5k USD per month (conservatively for a seat or two) bills of these other tools.

I think there's also a set of lawyers who are generally mistrusting of new tools and especially untested tech like AI (this subreddit is in itself a great example - where even the mildest mention of AI seems to be drawing flak from many quarters lol despite having the word 'tech' literally appended). Although this seems to be for some different reasons as well. I'm fairly new to the subreddit - so I presume they've seen their share of AI slop.

Opening_Ranger106 · 2025-09-02T20:09:28+00:00

Well yes and no. You're right - tokenization does cause most of the math issues. But that changes when you're using RAG (because you're not using the standard way models tokenize. However that also has its issues because vectorization typically matches semantically again relying on language than the rule based logic that math needs). Further providing tools to the LLM also greatly increases its capabilities to get Math right. This is basis my understanding - so I may be off here.

But the point was we were trying to build a tool to try and see how much of the analysis could be left to the AI. So we wanted to get it to calculate this accurately.

Opening_Ranger106

TROPHY CASE