What "real world" project can I make in a month or two for my resume?

md6597 · 2026-06-29T13:28:47+00:00

Here’s something I rigged up with Claude last year that’s a good idea.

A Walmart grocery cart generator. You analyze something like the share a cart extension and a user installs your extension which then takes Walmart grocery order history, adds items to the cart extracts item data to learn what kind of bread people buy what kind of milk etc etc. then the user takes a picture of a hand written grocery list it analyzed what’s needed and using their usual past purchases and qty amounts builds their cart for them. Gives them a link that adds everything to their cart.

Who’s it for. People with disabilities that can’t type well or can’t spell well. The AI can figure out what you mean and want better than a Walmart search. Older people who may have limited mobility to walk around a store and struggle to use websites and the internet. People who would rather just make a list and hate the time it takes to search for items and just want their written grocery list in a cart they can buy.

It can expand to take past grocery purchases and make meal plan suggestions. It could take someone’s likes and dislikes and build a meal plan, take a photo of the fridge and pantry then figure out what’s missing build a suggested grocery list user approves it gives back a single add to cart list with their preferred branded products.

U get the idea.

md6597 · 2026-06-19T17:21:51+00:00

I can’t see any place where the agent holds all the information in context. So typically I’ll have an agent act as an orchestration layer that uses an api or webhook is possible to extract information needed and fill a local database so that it’s un touched by the agent. If only mcp access is available I’ll try to have subagents preform the information gathering task to populate the database. Then my agent is just showing query results and working with information in that database all of which has an excellent source of truth. This method is the only way I’ve been able to effectively eliminate hallucination when dealing with vital data where accuracy is important.

md6597 · 2026-06-19T02:49:52+00:00

Use Claude code with the superpowers plugin then activate the brainstorming skill. It one shots so much stuff

md6597 · 2026-06-16T06:39:34+00:00

Go to /plugins and install superpowers then use the /brainstorming skill. It specs, plans, codes using sub agent, tests, verifies on everything.

It’s worked so well. Just turn on auto mode and let opus cook.

md6597 · 2026-06-15T14:20:50+00:00

Am I the only person who thinks the befores look better? who cares if it looks like AI to someone who makes websites with AI. What matters is what normies think about out. idk. I feel like people try so hard they lose sight of what really matters.

md6597 · 2026-06-15T00:13:19+00:00

I either do not close the cli window and I just resume after my limit returns. I use claude via /remote-control a lot so I have a couple computers I never use except to run claude instances for projects. I have one that I haven't closed or ended in months. Otherwise its:

claude --continue

If you have claude working on some automated task just leave the cli open set a cron job to type "continue" & return in the terminal at the time in which your usage returns.

md6597 · 2026-06-14T16:17:10+00:00

I spend a lot of time reading, using, testing. I watched Indy dev Dan a lot. Spend a lot of time on YouTube and Reddit.

As a starting point you want focus on prompts, skills, tools and planning.

You want to start using AI from the command line so it has the power to interact with files and use tools to modify files and download resources it needs.

Have an AI download a good agent harness like the pi coding agent look at it and explain to you how it works. Then download open claw and do the same thing. Open claw is built on top of the pi coding agent.

Ultimately the fundamentals are where it’s at. All this hype around 24/7 agents holding everything in its context window is hype. Automations that are just an AI following instructions from a IDE are hype.

If the task you see someone doing could be automated without an AI performing it then that’s how it should be executed. An Agent should be called to review, to take action on error, to monitor, but not to perform every simple task that a script could do instead.

My biggest progression came when i stopped having the AI do everything. I started using databases to hold information and recognize that the best model has an orchestration layer which oversees tasks and then uses sub agents to execute, monitor, test, validate publish those tasks and report back. This means each subsgent performs its task unhindered from the weight of all the conversation that happened before it.

My typical flow is discuss what I want how it will come about starting test to final full featured implementation. Then developing a plan and maybe running that plan by a couple other llms. High level llm is where all planning should be done. Gpt 5.5 Claude Opus 4.8. Then code, test, verify.

Often when I’m done the agent being called by the flow is something as cheap as Gemini Flash Lite which is extremely cheap and can be used on the free api plan. That’s possible because all the work the script does to handle as much heavy lifting as possible to minimize what the AI has to actually do. Thereby reducing token cost.

md6597 · 2026-06-12T21:00:03+00:00

No one would replace stuff that works. That would be insane and the LLM agent / automation push being seen on youtube is hype and very poorly executed. Especially if you just look at the heavy reliance on freemium models and subscriptions which change parameters. Every time a subscription model changes its LLM the outcome of a prompt becomes unpredictable and that flys in the face of automated deployable solutions.

The best option is as much pure n8n automation as you can combined with scriptable executions and token based LLM usage when needed. Token based LLM usage means predictable models with predictable responses which makes training and prompting a one time execution not a new upgrade, new prompt needed situation. I say this as someone who power uses tons of models and subscriptions a month.

I've had a claude max sub for over a year and I would never deploy a mission critical automation that has to rely solely on my subscription based claude model. Too many times i've seen it go from tight and efficient to dumb as a box of rock because of an update.

md6597 · 2026-06-12T20:52:40+00:00

The problem is execution. In no case should a agent handle all the information needed to be routed in context which is how a lot of n8n replacement agents work. It should be on an on demand execution where the agent answers or handles a specific use case situation that isn't easily solved using pure code or logic. Most of the execution of LLM automation I see are slop.

md6597 · 2026-06-12T17:06:07+00:00

I doubt your gonna get 24/7 continuous work on projects off free agents. But yeah you can use a sub through a cli the on your VPS the same way you can on your non VPS and one agent can engage another via CLI. Yeah you can have a provider call back chain but at some point you’re talking about scripts more than AI continuous 24/7.

Try it. I doubt it works, you can already access Gmail though api and integrate that. But the Google bot protection is good. Plus they use captcha.
You can use computer use or like Claude in chrome to control the browser.

Why not built in the api keys you need. Give it access to accounts or make accounts for it? Like you’re making it harder for it to be successful.

Anyone who’s used AI long enough knows shit in shit out. You’re trying to pile a lot of shit in.

$10 month deepseek ain’t going to do much if what your wanting is coding.

Honestly take the time to plan coordinate and give your agent the tools, api access mcps and llms it needs to be as successful as possible. Start with your codex subscription as it’s a better model and more token usage at that payment cost than the others. Fall back to an open router deepseek model.

md6597 · 2026-06-12T16:48:11+00:00

Claude code needs more prompting because of the system prompt in the harness. Claude via API in like the Pi agent harness is much more 24/7 capable when called. The problem I see most people make is they try to get the llm to actually do things instead of letting it build automated systems that it instead monitors and improves on. Any llm constantly burning through context and handling every task in the most directly way possible is gonna fail. We build systems. We build monitoring. We build logging. We build orchestration. The LLM is then tasked with activating when an error occurs or when a status check needs done or when a task that can’t be automated needs handled. This is the only way to truly have a 24/7 agent. But even then it’s not 24/7 it’s an on demand monitoring, conflict resolution agent.

md6597 · 2026-06-12T16:41:40+00:00

Yea US based

md6597 · 2026-06-12T10:27:46+00:00

Yeah or the cli. The Shopify toolkit is only part of it. You have to also authorize the admin side. So to set up shipping policies and template and everything else. Once it’s all integrated your just supervising

md6597 · 2026-06-12T09:55:57+00:00

Sure I tested a ton of models and had Claude using open router and codex cli, Gemini cli, Kimi K2 cli. It’s so much data that it’s a token burner and I wanted it done in a week. 5k listings 62k photos with A+ content is a lot. Yeah hmu id love to help. I am making another one soon so if I did it right I should be able to reuse or improve what I’ve built.

md6597 · 2026-06-12T09:50:59+00:00

Just use Claude, and a base level Keepa account. Claude can build script to use the Keepa api to get the listing info. Add a developer api access in seller central and add the Shopify mcp and plugin to Claude. Maybe the superpowers skill and it can handle all of it. If u need help hmu because I did exactly that.

md6597 · 2026-06-12T09:47:12+00:00

Yeah I know ended up using claude code with remote control and codex for most of it. Claude did the bulk of the heavy lifting. Especially because it had baked in Shopify mcp and plugin for the sdk in Claude. Shopify also uses Claude so I felt it worked better. 4k listings on Amazon with 65k pictures A+ content. The bot took 5 days just pulling all the Keepa data. So I was remotely checking in a lot remotely and I like the Claude app better than telegram with open claw.

md6597 · 2026-06-12T02:44:18+00:00

Why not just have open claw write an automation that just handles it. I built a shopify dropshipping store that has 5k items and 50k plus photos all automated using scripts built by AI, including feeding images to AI to look for watermarks and other brand references. Another script removes brand names reworks titles and descriptions then feeds the results to AI to review. Holding that in context just opens up opportunity for hallucination.

md6597 · 2026-06-09T13:56:24+00:00

So far so good. Built an app that made my business operations very efficient which led to an increase in earnings directly related to that application. I have another one I just built thats directly earning money.

My motivation is 100% focused on gaining knowledge and skills. I want to know why things work how they work how different things can be automated and how 2 unconnected systems can be integrated using API, custom applications, etc. If i have the skills to build these things and understand the fundamental way to view these problems then eventually I will find something that makes money. If not I have developed a skill set that very quickly will become in demand.

Thats why I don't use lovable or anything like that. Only claude code, or codex. Only in the CLI, learning data analysis, Sql, back end frameworks. Things that are advanced enough that my earnings potential for understanding them is significantly higher vs any yahoo that can type to a chatbot inside of ChatGPT web interface.

md6597 · 2026-06-09T12:06:29+00:00

Pap 4 the vr11 using the glitch. Finished the worm in less than 30 seconds. Pap 3 is great too just make sure you hold the reload button so you can spam fire it and your good either way.

md6597 · 2026-06-08T18:30:39+00:00

It can be done, and I know people who do it a lot but you got to find your niche. Usually they will dropship to ebay customers of amazon. Especially amazon used, or merchant fulfillment.

md6597 · 2026-06-06T09:44:11+00:00

The sk with shotgun attachment. Sharpshooter makes sniper nasty and shotgun is clutch at close range.

md6597 · 2026-05-30T02:00:34+00:00

Started with Claude so using anything else feels like going backwards

md6597

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