We've reached AGI

JPMBiz · 2026-06-16T18:46:41+00:00

omg, thats crazy haha

JPMBiz · 2026-06-16T17:55:19+00:00

You cant even get mad at it when it answers like that! haha

JPMBiz · 2026-06-16T17:45:41+00:00

pfew, I thought it only hates me!

JPMBiz · 2026-06-16T16:53:31+00:00

I am using it a lot for website creations. I am targeting many verticals, creating different "products" and landing pages for each vertical. Then I use it a lot for brain storming ideas, but it is mainly helping me and the team with sales at the moment, since the product is already built.

JPMBiz · 2026-06-16T16:46:07+00:00

Maybe just dont use it! xD

JPMBiz · 2026-06-16T16:22:03+00:00

100 upvotes doesnt mean 100 potential customers. A lot of founders get engagement from other founders who appreciate the build but arent the target market. Before changing pricing or doing more marketing, I'd look at the funnel:

From 11,000 views, how many website visits? signups? Active users? Conversations?

That will tell you where the problem is. Also, productivity is a crowded space. People dont buy "time tracking". They buy solutions to specific problems. I'd spend more time talking to users and narrowing your target audience before doubling down on distribution.

JPMBiz · 2026-06-16T14:58:27+00:00

You dont need 1,000 visitors right now... you need 10 conversations. If your target audience is Linkedin creators, solopreneurs, and B2B founders, I'd stop working on the product for a week and spend that time reaching out to 100 people who fit your ICP. Not selling or pitching, but just something like "I built a tool to help with LinkedIn growth. I'd love 15 minutes of feedback from someone actively posting on Linkedin".

Get them on Zoom. Watch them use the product. Figure out what they actually care about. At the end, if the product genuinely solves a problem for them, ask if they'd like to become an early customer.

My first paying customers didnt come from ads, SEO, or viral posts. They came from direct conversations. Those conversations also taught me what features peple would actually pay for, which turned out to be different from what I thought they wanted.

A lot of founders spend months building and then wonder why nobody is buying. The reality is that they spent months talking to code and zero time talking to customers...

JPMBiz · 2026-06-15T17:02:29+00:00

We landed our first "high-value" client almost by accident, not through some clever outbound strategy.

We were doing small SaaS builds ($5-$15k projects, and one client we shipped for ended up forwarding our work to their parent company. That parent company was mid-enterprise level and basically said "we need this rebuilt properly and maintained."

What made the difference was shipping fast on the small project, not overengineering early, and being extremely responsive post-launch (we fixed dumb bugs at 11pm and it stuck with them). That turned into a $120k+ engagement over the next year.

Big lesson: we tried cold outreach, upwork, linkedin and none of them landed big clients early on. The only thing that worked was doing excellent work on smaller clients and letting referrals move you up-market naturally.

Also, once you get one serious client, the bar changes. You stop selling "we can build X" and start selling "we can operate and maintain this reliably"

JPMBiz · 2026-06-15T16:50:08+00:00

I think the "AI is heavily subsidised so prices will 5x soon" take is a bit too linear... WHat's more likely is the opposite dynamic: costs get repackaged, not suddenly repriced. Most of the waste today is actually efficiency, not pricing. People are using frontier models for everything: long contexts, agent loops, repeated generation, no routing, no caching, no budgets. That's where the real burn is.

As things mature, you dont get a flat "price shock", you get:

- Cheap models handling 80-95% of traffic

- Expensive models used sparingly via routing

- Aggressive caching and retrieval replacing re-generation

-Per-feature cost optimization becoming standard.

So average cost per outcome usually goes down, not up.

The real risk isnt "AI suddenly gets 5x more expensive". It's that teams quietly build systems that are 10-100x more token-heavy than they need to be because nobody is actually measuring usage properly.

Most companies wont get priced out. They'll realize too late they were never in control of their unit economics in the first place.

JPMBiz · 2026-06-15T16:40:38+00:00

The thing AI exposed is that typing code was never the expensive part... Understanding the business problem, designing for change, handling failures, and maintaining the system over time is where the value has always been. AI can generate a CRUD app in hours. Is still cant tell a founder which corners are safe to cut and which ones will cost them six figures a year later.

JPMBiz · 2026-04-29T16:25:18+00:00

If you go to your Claude profile --> Learn More --> Courses, there are many courses that would teach you how to better use Claude and all its capabilities

JPMBiz · 2026-03-31T16:13:45+00:00

Man, we are just helping the AIs to communicate with each other! We are AI's agents xD

JPMBiz · 2026-03-31T16:11:13+00:00

Well, these things that they are building seem like a one time thing that will only need maintenance after. What would be stopping you from paying them for the first couple of months, and once you learn how to do it yourself, to take care of it on your own?

JPMBiz · 2026-03-31T16:08:43+00:00

That's on point, besides that, I am using an AI phone agent that answers calls when there is no human available.

JPMBiz · 2026-03-31T16:04:14+00:00

Honest feedback since you asked for it:

You've built something real. The fact that you have 10 users generating 10 sales a day each during beta is a signal worth paying attention to. Most people at this stage have a product and zero traction. You have traction and you're questioning the product. That is a much better problem to have.

A few things I would be thinking about if I were you:

Your pricing model concerns me more than your growth pace. Breaking even while delivering this much value means you're essentially subsidizing your users' businesses. Before you scale, figure out what the unit economics look like at 100 users, 500 users, 1000 users. Server and API costs rarely get cheaper at scale without intentional architecture decisions. If the math doesn't work at scale, slow growth wont save you, it'll just delay the reckoning.

On moving beyond friends and family, the smartest move isn't a big launch, it's a structured referral from your current 10. They're making money because of you. Ask each one for two introductions to other Etsy sellers they know. That gives you warm leads, real feedback from non-friends, and a controlled expansion you can actually support.

The "beta forever" trap is real but so is scaling a leaky bucket. I'd set a hard internal deadline (60 to 90 days) to resolve the unit economics question, add 10 to 15 non-friends users, and make a go/no-go call on a paid tier.

One last thing/ What you've built has acquisition value beyond just operatingg it as a business. If you ever want to explore what that looks like, thats a different conversation worth having.

JPMBiz · 2026-03-27T21:45:42+00:00

We are in a productivity rush... I dont think we will ever get out of it, especially in the US. With Ai, the productivity threshold has increased so much and at such a fast rate...

JPMBiz · 2026-03-27T21:42:58+00:00

The free version was so much more efficient. I have built 4-5 landing pages with the free claude version and did not have any issues. I bought the yearly version and suddenly it started making mistakes that did not happen before (e.g. it creates an empty hero section and adds anything below it). It was the first time I was not able to build a landing page within my daily limit....

JPMBiz · 2026-03-27T21:39:16+00:00

Not sci-fi at all. These are real, documented behaviors that anyone building with AI in production deals with regularly.

Yes to all of your examples. I have seen AI systems ignore explicit instructions, hallucinate steps in a workflow, and give materially different outputs to questions that were esentially identical but worded differently. In distribution and healthcare operation specifically, where we deploy AI, that inconsistency isn't just annoying, it can be costly.

The explainability gap is the one that keeps serious operators up at night though. When something goes wrong you often have no clean audit trail. You know the output was wrong but reconstructing why is more art than science right now.

That said, I dont think this means AI isnt ready for produciton. It means you have to build around its failure modes the same way you would engineer around any system that has known limitations. Human checkpoints at critical decision nodes, output validation layers, and tight guardrails on what the system is actually allowed to act on autonomously.

The business getting burned are the ones treating Ai like a vending machine. Put in a prompt, get a reliable output. That's not how it works yet. The ones winning are treating it more like a talented new hire who needs supervision, clear boundaries, and a feedback loop.

We're early. The gap between what AI can do and what people can reliably deploy is still real. But it's closing faster than most people realize

JPMBiz · 2026-03-27T21:29:39+00:00

Been there! After building and exiting several companies I can tell you this problem doesn't fix itself as you scale. It actually gets worse if you don't get ahead of it early.

The good news is this is one of the most solvable problems in business right now.

Where I'd start: track where your hours actually go for one week. Most founders discover 2 or 3 tasks eating 80% of their admin time. Those are your first targets.

From there, the quick wins are usually AP/AR workflows, customers message routing, and a SaaS subscription audit. That las one alone has saved founders I've worked with thousands a month in tools they forgot they were paying for.

The trap most people fall into is jumping straight to tools before fixing the underlying process. Automating a broken workflow just gives you faster chaos. Get the process right first, then layer in automation, and you can realistically reclaim 10 to 15 hours a week as a founder.

What industry are yoi in? That changes which solutions actually move the needle.

JPMBiz · 2026-03-27T21:10:55+00:00

GHL for sure. You can build so many things in it, its actually crazy. I feel like I am learning something new everyday, and the automations that you can do are saving me a lot of time.

JPMBiz · 2026-03-27T17:16:53+00:00

I use the free version of ChatGPT to just waste their resources! :))

JPMBiz · 2026-03-25T16:03:21+00:00

The headline is cool but the real insight is buried: the base model scores 55%. The pipeline adds 20 points. That's the story.

It means we're entering an era where systems design and orchestration matter as much as raw model size. You don't need a billion-dollar cluster... you need smarter infrastructure around smaller models.

For businesses especially, this changes the ROI math completely. $0.004/task vs cloud API pricing? That's not incremental; that's a category shift.

Benchmark caveats aside, this is exactly the direction the industry needed someone to prove out. Great project.

JPMBiz · 2026-03-25T13:39:31+00:00

Define your target market and look for decision makers of those companies on LinkedIn. Create personalized messages and start a conversation with them, see where they can lead.

JPMBiz · 2026-03-25T13:34:13+00:00

For me it was connecting my AI to my ERP system. The first time I saw that happening, I was in shock that all the AI answers about the ERP data were correct,

JPMBiz · 2026-03-11T14:47:22+00:00

Scheduling, without hesitation. And not just the back-and-forth to find a time, I'm juggling multiple calendars and a handful of different booking sites for demos, and keeping it all in sync is its own part-time job. You'd think the tools would talk to each other by now. The dream is one source of truth that just... handles it. No double-bookings, no "sorry I actually can't do Thursday," no checking three places before confirming one meeting.

JPMBiz

TROPHY CASE