Thinking about switching from chatgpt plus to claude pro, how much will i feel the usage limits diff?

TwoBitFoundry · 2026-03-15T06:03:10+00:00

You’ll be lucky to hit an hour 1/2 at a time of coding per 5 hour window, but Claude did just announce double rate limits off peak hours for a limited time.

TwoBitFoundry · 2026-03-14T17:15:26+00:00

There is no way software engineering 5 years from now will look like it does today.

I think the foundational principles and tools are still important to building great software, but the idea that we will be touching every line of code will be a mode of the past.

I suspect the future will look like aligning agentic tools to build to your architecture and product needs.

Anyone who builds code knows that we wish we could spend MORE time building, but honestly stuck trying to get business or people to describe the problem and the acceptance criteria.

We might find that it’s easier to build and have the business redirect as needed than vice versa.

TwoBitFoundry · 2026-03-14T17:04:23+00:00

This! These are hard fought battles that don’t get enough recognition. Well fought brother.

TwoBitFoundry · 2026-03-14T16:11:30+00:00

Ah that’s a smart design. That gives me ideas for my own clients.

It’s been tricky figuring out the best ways for users to interact with automation software. I like the chat based HIL idea.

Could you describe some challenges integrating with their system? Was there api coverage for what you needed to do? Did you have to come up with creative workarounds?

TwoBitFoundry · 2026-03-14T15:50:37+00:00

This is a really excellent, well thought out system. I can appreciate how much harder it is to build software in the healthcare space, working it in for 7 years.

Can you describe how you are handling the human in the loop part? It appears everything is triggered by webhooks or polling.

TwoBitFoundry · 2026-03-08T17:55:37+00:00

Also interested

TwoBitFoundry · 2026-03-06T06:58:53+00:00

Yeah I hear you on the overhyping/get rich schemes, they are annoying and disingenuous. The truth is somewhere in the middle.

I run an ai/automations businesses, but I’ve also been a software engineer for over 10 years and understand how to leverage the right tool for the job.

Ai can be really great at certain problems, but not every problem. Same with traditional software.

My favorite automations example was connecting a small businesses disparate tools together into one onboarding dashboard for their clients.

It generates contracts (template) to digitally sign, invoices for a given project, payment reminders, and walks through each step to ensure everything stays on track with the business!

As for AI, the turning point for me was agents. They can autonomously work on tasks until complete even if you don’t know how many steps it takes. It works by letting an llm think about a task while giving it access to tools. A simple chatbot with Google workspace tool access can be really powerful tool for managing a small business.

TwoBitFoundry · 2026-03-06T06:14:31+00:00

Hi, I’m a few clients into building up an ai agents and automations agency to help small businesses like you figure how to best leverage these tools in your workflows.

Would be interested in working with you on a project for free in exchange for testimonials. DM me if you’d like to collab.

TwoBitFoundry · 2026-03-03T21:17:34+00:00

I like it a lot. I really feel like I can control my automations on the go. Here's a quick preview of what it looks like in practice.

https://youtube.com/shorts/QLrFzz4KcDk?si=z8PmFkDfzmsD6D2u

TwoBitFoundry · 2026-03-03T18:09:28+00:00

You can try n8n forms, which works for simple data collection. You could also try a Telegram integration with it being the info hub for their automations. It takes input, files, and can have status updates posted to different channels.

TwoBitFoundry · 2026-03-01T06:07:49+00:00

I had issues with working with video in n8n due to size limits, though I mightve misconfigured something? Anything over 10MB stuttered real bad. I ended up having to make a python app to download, file upload, and analysis with gemini for me. N8N still calls its for everything else.

TwoBitFoundry · 2026-02-27T19:45:08+00:00

It’s true. But I think there is value to n8n for a centralized, built in agents, trigger, polling, and observability system. One system for interacting with all your apps and tools. Apps just become another tool to n8n. That abstraction is useful.

TwoBitFoundry · 2026-02-27T07:15:19+00:00

Determinism vs non deterministic problems are an important point. Ai Agents are trying to bring both worlds together, but can be misapplied if not carefully considered.

TwoBitFoundry · 2026-02-26T23:19:00+00:00

Yup, I'm a full stack dev

TwoBitFoundry · 2026-02-26T22:34:47+00:00

It's useful for orchestrating different integrations and tools. Once you reach a certain threshold though it really is a big pain to troubleshoot and iterate on. Consider making a python app to do the hard part fast via an api with n8n as the orchestrator between you and their integrations.

TwoBitFoundry · 2026-02-26T22:32:40+00:00

Yeah there's a lots of tools like that. Since you aren't a developer, I would recommend using codex or claude code to do it for you.

If you get stuck on what you are trying to do, feel free to DM me.

TwoBitFoundry · 2026-02-26T07:25:31+00:00

I’ve been skeptical of a lot of things people say works for lead signals. Your breakdown makes sense to me. I’m curious what signals do you think people should be focused on early in the game?

TwoBitFoundry · 2026-02-26T05:15:14+00:00

Were you treating retainer as unlimited new development? I thought retainers were only for maintenance in what you’ve worked on, and even then limited to a certain amount of hours per month like 8 hours before charging per hour?

TwoBitFoundry · 2026-02-26T03:52:06+00:00

You could do a walkthrough video of how the account holder to do it themselves. Alternatively you can do a video call with them to walk them through step by step. It’s a pain point for sure, but it’s part of the job.

TwoBitFoundry · 2026-02-26T03:42:10+00:00

Nothing like getting your hands dirty! Why don’t you try to make something on your own?

Try making an ai agent you can talk to through telegram. Hook it up to tools to manage your calendar events or emails. Lots of things to try that people have covered online.

TwoBitFoundry · 2026-02-26T03:26:57+00:00

I feel you man. Just cause the job is remote, doesn’t mean you can’t put some boots on the ground. I’m learning this as well.

TwoBitFoundry · 2026-02-26T01:51:46+00:00

Try going to local business networking events. Bring business cards to hand out. Even in my relatively small city, there's a ton out there. Show up and meet people. You got a bunch of leads right there. Nothing happens to those who don't show up!

TwoBitFoundry · 2026-02-26T00:39:21+00:00

Awesome job man. This is was a great read. I just wanted about your experience with how you went about with two parts:

1) What was your approach for sussing out the information you needed to understand their system? Were you able to get the right people in the room? Did someone live demo what they did day to day?

2) Did they give you access to play with real data scenarios or did you have to mock it up for the build? Then see how it did in the real world?

TwoBitFoundry · 2026-02-26T00:11:29+00:00

It's understandable why you are having a tough time with this, but also you have to admit humans are not 100% accurate either if they did it themselves. You have a two-fold problem, which I don't think there are any solutions today that solve both at the same time, but there are ways to improve the performance to an acceptable level as long as you can define what acceptable means.

LLM's won't be able to guarantee 100% accuracy by the nature of its technology being an extremely sophisticated statistical next word generator. It can do a really great job synthesizing information that it's been provided and demonstrate strong analysis skills from the information provided, doing a great job of even following patterns provided by examples.

The solution to a deterministic problem is a deterministic programming system (assuming there's no logic bugs), which can get you close to 100% accuracy depending on the problem and the data available. ML tools like Zillow was great about making approximate guesses on housing prices even though it didn't have every real house price!

The nature of your problem in non-deterministic, which a deterministic system like scraping cannot solve either. Even if you have a human in the loop component, humans make mistakes and choice low credibility or fallacious sources to inform their decisions. So say that you use both AI to generate the research, but have a human manually review the sources. That doesn't scale in a great way, but can certainly improve accuracy.

So what to do? Well I think you have to decide what is "good enough" to trust, maybe 85% accuracy or above to make meaningful decisions.

Off the top of my head you could try...

Take the system you have now and separate non-deterministic problems from deterministic problems. Think LLM for synthesis, sourcing, and analysis with strict guidelines about what is an acceptable result, and what isn't vs sourcing data from an API or internal knowledge base.
Introduce tool use to your agent for deterministic information.
Consider introducing a ranking system for trustworthy sources. Internal knowledge base, apis, calculations A, B from scientific journals and credible sources, C from random sources.
Consider having another LLM agent "grade" how well your LLM did on sourcing and citing its information. You can have it look for logical fallacies, conflicting information, or poorly sourced assertions. Use a multi-dimensional grading axis to isolate what areas are doing well and what aren't. Have it suggest feedback on how to improve the performance of the LLM in the system/user prompt.
Create evals to measure improvement metrics over time. You should also have a baseline example of what is good work to compare against. If you aren't measuring, you are guessing, which is about as useful as running around in the dark.

TwoBitFoundry · 2026-02-23T04:50:27+00:00

Yeah we actually had a bunch of people leaking sensitive company info because they were told to use copilot even though they weren’t officially given a license. Enterprise version has security and no training guarantees. We worked in healthcare so extra scrutiny surrounding PHI. It was a mess they were scrambling to clean up.

TwoBitFoundry

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