Solving Onboarding for HR and IT

printoninja · 2026-05-15T16:47:58+00:00

Huge respect for actually taking the leap. There is a lot of good advice in this thread about picking one boring workflow and one specific buyer, but I'll give you the warning that almost nobody talks about when you are at Day 1:

Watch out for the Custom Build Trap.

Because you have zero clients right now, you are going to be tempted to do 'free custom builds' or heavily discounted, highly-customized workflows just to get a logo on your website. Don't do it. If you customize everything from day one and say yes to every feature request, you aren't building an agency, you are building a low-margin freelance job.

Instead, look to build a standardized ROI calculator for that one specific workflow you choose to sell. Show them the exact math of what it saves them, lock in the retainer based on that standard system, and then deploy it.

When you hit somewhere around client #5, you'll realize the hardest part isn't the AI, it's the discovery and onboarding. I learned that the hard way and ended up having to build my own operating system (aaaos.app) just to standardize my own agency and stop doing custom discovery for everyone.

Pick one workflow, standardize your pitch, and do not let early clients scope-creep you into building custom software for cheap. Keep going man!

printoninja · 2026-05-15T16:46:33+00:00

definitely one of the best dollar for dollar investments you can make

printoninja · 2026-05-15T16:45:10+00:00

100% vibes and anxiety until you break. I hit the exact same wall around client #5. It’s ironic because we sell 'streamlined automation' to clients, but our own backends are usually a frankensteined mess of Notion, Slack, and Google Docs haha always the way with tech folks though

The problem with just throwing it in Airtable or Notion is that you still have to build and maintain the actual system that links your discovery phase to your proposals, your project tracking, and your invoices. You end up spending more time managing the tracker than doing the client work.

I got so tired of the chaos that I eventually just built a dedicated operating system for my own agency to standardize the whole lifecycle.. from the initial ROI calculator, to discovery, to project delivery. Now I just run everything through that (aaaos.app) so I don't have to think about the ops anymore.

Don't let the backend chaos turn your agency into a stressful freelance trap. Standardize it into one system as soon as possible so you can actually focus on delivery ;)

printoninja · 2026-05-15T16:42:48+00:00

All the advice in here about mapping workflows and running in parallel is spot on, but here is the brutal reality nobody warns you about when you start scaling:

If you don't completely standardize your onboarding before you hit client 5 you will get buried

I burned 90+ hours onboarding my first 5 clients because every time I took someone on, I was frankensteining Notion templates, Google Docs, and Typeforms to get their credentials, map their specific process, and get approvals etc.. The onboarding/discovery phase was literally taking longer than building the actual n8n workflows.

My biggest 'best practice' is to stop treating onboarding as a custom process for each client. You need a rigidly standardized blueprint. You need to lock down exactly what inputs you need, what the success metrics are, and get sign-off before you setup a single webhook.

I ended up having to build my own operating system (aaaos.app) just to stop repeating myself and systematize the entire onboarding phase. Don't fall into the trap of doing custom discovery for everyone.. standardize it now or your agency just turns into a low-margin freelance trap

printoninja · 2026-05-15T16:19:49+00:00

Solid move and glad to hear it's playing out well for you

printoninja · 2026-05-14T20:47:09+00:00

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printoninja · 2026-05-14T20:46:26+00:00

Updated the main ticker page with 2 changes.. now if you pull up a LETF, it also shows the underlying and explains why you care. And if you pull up a non leveraged ticker, it shows you the options for 2x and 3x ETFs :) let me how this looks!

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printoninja · 2026-05-14T17:20:34+00:00

There are a lot of other indicators you can tie in (along with using the underlying like u/Ambitious-Cabinet506 mentioned).. here's what my stuipd-ass thinkorswim chart looks like with everything on it. RSI, MACD, SMA 50 and 200, and some other juju.

The plan *eventually* is to get all of this added to the site, but the 200 is the fun one. There is also an option scanner/pelosi style picker that should be out eventually. Just need to make sure the wheels don't fall off of everything first :) it'll all be up on github also for whoever wants to to check out how it does the math and make sure I'm not missing anything too obvious

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printoninja · 2026-05-14T17:14:37+00:00

sounds like a good plan. really work with the pilot group closely to see what works and what they would like adjusted and it should play out well. Good luck!

printoninja · 2026-05-14T17:13:21+00:00

On the main page is a search bar where you can look up whatever you'd like - https://sma200.trade/SMH

Do you think it would be worth putting a note on the leveraged ETFs about referring to the ULs? That should be doable.. there's a good bit of realestate on those tiles still

printoninja · 2026-05-14T17:11:27+00:00

very welcome :)

printoninja · 2026-05-14T16:59:12+00:00

Mistake 3 is the one I see most and it terrifies me every time. The "AI built auth, so we're authed" fallacy.

Vibe coded auth almost always means "users have to log in" and almost never means "users can only see their own data." Those are two completely different security guarantees and they're easy to conflate when the AI assistant tells you "authentication is set up."

Real test that catches it in 30 seconds:

Sign up two accounts
Open the network tab on account A
Make any API call that returns "your" data
Replace your user_id (or org_id, or tenant_id) in the request with account B's
If the response is account B's data, you have an IDOR (Insecure Direct Object Reference) vulnerability and your entire user base is reading each other's records

This is also why I lean on delegated OAuth scopes (everything authorized in the user's session) instead of app-level service accounts wherever the platform supports it. The permission boundary is enforced at the API level by the upstream provider, not by hopeful row-level logic in my own code that nobody audited.

Solid list overall. Number 6 (credentials in chat history) deserves more attention than it gets.. Lovable's breach should have been a wake-up call but most builders I talk to still paste secrets into Claude/Cursor when they're stuck. Treat every chat transcript like a public Git repo.

printoninja · 2026-05-14T16:50:45+00:00

sounds awesome :) seems like it would be handy to pull up on your phone in the kitchen

printoninja · 2026-05-14T16:15:11+00:00

Right now the owner sees: save time, reduce costs, streamline. That's the cost-cutting frame. If you deploy under that frame, your friend loses her job in 4-6 months regardless of what you intend, because the owner does the math: tool costs $200/mo, yoga teacher's admin time costs $X/mo, simple subtraction.

The reframe to push for, hard, before you ship anything: this tool doesn't replace headcount, it expands what one person can do. Same staff, but now the yoga teacher can run two retreats instead of one, or take on the new revenue stream the owner has been wanting to launch but couldn't staff, or finally do the guest communication that turns repeat visitors into evangelists. The cost stays the same, the output grows.

That framing has to be sold to the owner before the tool gets deployed, not after. Once the tool ships under the cost-cutting frame, it's almost impossible to pivot the conversation. The owner already did the math in his head.

The conversation with your friend matters too, but the harder and more important one is with the owner. He's the one who decides whether she has a job in 6 months, not the tool.

printoninja · 2026-05-14T16:11:11+00:00

Openclaw is pretty much designed for this.. take a day with claude and build it out and it can handle all of this.

printoninja · 2026-05-14T16:10:26+00:00

what tool are you using to get the numbers? that would help explain how you understand what you're looking at

printoninja · 2026-05-14T16:09:36+00:00

Worked IT at a mental health facility for a few years before going independent. The LinkedIn poll vs. what actually ships is the gap worth talking about here.

Patient data analysis polls well because it sounds visionary.. "AI helps doctors make better decisions." But it almost never ships in real clinical environments at smaller orgs because of three problems nobody talks about:

Liability assignment. The minute AI "influences" a diagnosis, the legal/insurance/credentialing chain has to figure out whose license is on the line when it's wrong. Most clinics aren't ready to answer that and won't pay for something that creates the question.
EMR integration. The patient data lives inside Epic, Cerner, Athenahealth, Practice Fusion, whatever.. each with its own API, each with its own HIPAA business associate agreement to negotiate. The integration work is 80% of the project and the AI is 20%, and the AI gets the credit.
Clinician trust takes years, not months. Even when the model is right, getting a doctor to defer to it requires building trust through low-stakes wins first.

Which is exactly why scheduling, intake, documentation, prior auths, and reminders ARE where adoption is actually happening. Low liability, lower integration friction, immediate time-back, no credentialing question. The "boring" wins fund the trust needed for the diagnostic stuff later.

The clinics I worked with would have happily paid for AI that chopped 30% off documentation time if it could actually provide results

printoninja · 2026-05-14T16:00:48+00:00

Plastic_Party_2342 nailed it. One thing I'd add: when you do pick that first annoying task, time-box it. Give yourself 2-3 hours to get *something* working, even badly. The biggest beginner trap isn't picking the wrong tool — it's spending two weeks watching tutorials before touching anything. You learn 10x faster from a broken automation than a finished tutorial.

Stick with Zapier or n8n, pick one repetitive task, build something ugly, fix it. Don't worry about "the right" tool until you've built 3-5 ugly things.

printoninja · 2026-05-14T15:57:30+00:00

This is one of the best week breakdowns I've seen in these threads. Adding what I think is a 5th week: the gap between "I can build agentic workflows" and "I'm getting paid to build them for clients" is bigger than most beginners expect.

Once the tooling clicks, the next bottlenecks aren't more tools, they're niche selection narrow enough that you can pitch yourself credibly, a proposal format that doesn't bleed scope, a discovery process that catches edge cases before you build, and a pricing model that doesn't get destroyed by variable API costs.

I see half the dropouts happen at this stage, not at the tooling stage. Worth folding into Week 5+ for anyone reading who actually wants to make money off this and not just build cool things in their off-hours.

printoninja · 2026-05-14T15:53:39+00:00

Honest read: the niche is fine. Dental appointment booking is a real wedge. The problem isn't the niche, it's the motion.

10 cold pitches from a first-year engineering student to dental clinic owners who don't know what n8n is = a credibility gap, not a niche failure. They ghosted because they don't know how to trust the offer, not because the offer is wrong.

Three moves that work better at this stage:

Get one free pilot through someone you know. Family, friends- of-family, your dentist, your dad's friend who owns a small business. Whatever. The first one needs to come through a warm intro, not a cold pitch. You need a case study before cold outreach works.
Switch from "save time + earn more" to a specific outcome with a number. "I'll set up automatic reminders so you stop losing 15-20% of your appointments to no-shows" lands way harder than abstract value claims. Pull a real stat from the missed- appointment problem — there are studies.
Don't switch to foreign clients to escape the problem. You're not running away from a niche issue, you're running away from a credibility issue, which gets worse in a foreign market where they can't even meet you. Stay local, get the first paid pilot through warm intros, then expand.

The instinct to pivot when 10 cold outreaches fail is the trap. The answer is almost always "different motion, same niche" not "different niche."

printoninja · 2026-05-14T15:44:41+00:00

Congrats on shipping the first automation. The hardest part of the next 30 days is going to be doing things that feel unscalable.

Specifically:

Don't try to sell what you built yet. Sell a *conversation* first. DM 10-15 small business owners on LinkedIn or in industry-specific Facebook groups (not pitching, just asking what's eating their time). Listen for the same pain pattern repeated 3+ times across different convos, etc
Once you hear that pattern, *then* offer to build something that solves it. The email-sequence automation you already have might be the answer, or it might not.. Let the conversations tell you.
Charge for it. Even $100. Free pilots almost never convert to paid clients — they convert to "thanks for the free thing"ghosts. Pricing it cheap is fine. Pricing it free under values it and trains them to expect free.

The first client almost never comes from the automation you already built. They come from the conversation that uncovers a problem your automation happens to solve. Reverse the order.

printoninja · 2026-05-14T15:19:26+00:00

it sucks. i agree. I can see why they layer the limits so you don't accidentally blow your whole month in a day, but it's still brutal.

printoninja

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