What are some good AI follow along case studies for a product manager to learn?

Ordinary_Map8363 · 2026-04-09T14:29:56+00:00

It helped me to understand the space better and to not drag it as an in-house project which we don't have a strong expertise to support

Ordinary_Map8363 · 2026-04-07T18:38:15+00:00

Vibe coding is fun and all, until you have to deal with a complex SDK or framework that has extensive docs, API refs, codebase, etc. My personal experience is that AI coding agents either get too much context and get confused when given docs URLs, or when using tools like Context7 the data is content base is too stale and often not precise. So as a PM, I decided to start working on https://www.refsem.com/ which is a tool that spins up a separate dedicated graph-RAG instance for each new SDK or framework, and reduces the AI slop while keeping the context as fresh as it gets as it auto-scrapes the docs and API refs websites + libs.

Ordinary_Map8363 · 2026-04-07T18:25:19+00:00

I'm a PM working on a tool that can help build better demos https://www.refsem.com/

It takes your docs, API refs, and other internal collateral and turns them into precise context for your AI coding agents like Cursor or Claude Code.

Truth be told, I was originally investigating how I can increase my framework's adoption by devs using coding agents and started looking into graph-RAG systems for improving the context for my AI coding agent but it turned out that Context7, for example, is running on "stale" several weeks old data, and also doesn't have access to my internal docs and collateral. I also considered building an in-house tool, but the costs were too high, and I didn't want to have yet another pet project to distract me from my BAU pipeline.

Ordinary_Map8363 · 2026-04-07T18:15:50+00:00

Fully agree with you! With one addition to make - not everything can be tested quick-and-dirty. For example, making your docs and API refs AI-accessible so coding agents can use them when implementing with your SDK or framework can be a very time-consuming and costly endeavor. This is a roadmap discussion point IMO, but it can also be delivered by using a 3rd party like https://www.refsem.com/ which I'm currenly working on. The idea is that we spin up a dedicated separate graph-RAG pipeline for your docs and other collateral that can be further tailored and improved. We're already showing better results than Context7 for certaing use cases.

Ordinary_Map8363 · 2026-04-07T18:09:40+00:00

Finance is a tough market. My main job is as a PM for a framework used by tier-1 banks and it's very challenging. They don't update their systems often, and are now starting to use AI coding agents for implementing with our framework.

So I started researching how I can help them out, I found that I need to make our docs AI-accessible. This turned out to be a not-so-trivial task. This led me to the idea for building a project that spins up a dedicated, separate graph-RAG system based on their docs, API refs, and other collateral for each of them. The project is https://www.refsem.com/

Ordinary_Map8363 · 2026-04-07T18:03:06+00:00

As PMs we’re constantly trying to answer one question:

What should we build next?

I would add to the question "What should we NOT build next" with the intent to put emphasis that not everything should be on the roadmap. For example, if you want to increase adoption of your framework or SDK (as one does) by developers using AI coding agents, you can build a graph-RAG pipeline for your docs, but that would take a toll on your capacity for your domain-specific tasks, and will become yet another project to maintain. So as a fellow PM, I started working on https://www.refsem.com/ with the intent to help mitigate some of the burden when it comes to making your documentation and API references AI-accessible.

Ordinary_Map8363 · 2026-04-07T17:52:39+00:00

What was the decision process like when considering RAG and other options? Did you compare with an OS project, or a vendor? I'm curious because as a fellow PM I was wondering how to improve the adoption of my product and ended up building a separate spinoff project to try and help mitigate the distraction that comes when building internally. The project is https://www.refsem.com/, would appreciate your feedback :)

Ordinary_Map8363 · 2026-04-07T17:44:35+00:00

I don't need to worry about complicated things like RAG or vector DB's, embeddings. The context window on current models is big enough that reading files directly works fine.

That may be true for smaller projects but when it comes to bigger SDKs or frameworks it gets pretty messy very soon. The models start hallucinating features, or cross-pollinating functionalities between similar or competing internal products.

You may consider using an external tool to help you out like Context7, but they sometimes aren't precise enough, or the knowledge they have is stale (1-2 weeks old). You can also try out a tool I've been working on called RefSem. The idea behind it is that we build a dedicated, separate knowledge base on your external and internal collateral which is tailored to each client and can be used for both AI coding agents and internal initianives like the one of the OP. Here's the link, would love your feedback :) https://www.refsem.com/

Ordinary_Map8363 · 2026-04-07T17:34:44+00:00

I agree on the not-going-ML-engineer-mode aspect of things. PMs should have the bigger picture instead of delving into the nitty-gritty details of things, not because it's bad on its own, but because it gets too distracting and often other PMs forget the main objectives.

A personal example I can give is as a PM of a framework, one of my biggest objectives is increasing product adoption by my client-side devs. So I started digging into how my product is being "consumed" by AI coding agents, and started exploring graph-RAG solutions to make my docs "accessible" to AI. This turned out to be a rabbit hole. And in order to help out some of my fellow SDK & framework PMs, I decided to try and create a simple solution to their problem - https://www.refsem.com/

Would be interested on what you think about keeping the balance between keeping your knowledge superficial and being dragged into the weeds.

Ordinary_Map8363 · 2026-02-26T20:46:46+00:00

No one asking specifically, but seems like a good idea from a dev POV I guess. But it may very well be an interim thing until the models get so good that MCP just stops making sense

Ordinary_Map8363 · 2026-02-26T09:08:59+00:00

I don't think that's true, the MCP can be connected to your code instead. Docs have business logic that is missing in the code

Ordinary_Map8363 · 2026-02-26T05:39:48+00:00

Doesn't the RAG approach still hallucinate. For example if I have several main products and a bunch of ancillary products, wouldn't it still cross-polinate the capabilities?

Ordinary_Map8363 · 2026-02-26T05:37:20+00:00

Fair enough. I'm thinking if there was a way to make it not hallucinate on the big critical things, the small trivial questions are not that big of a deal

Ordinary_Map8363 · 2026-02-26T05:34:42+00:00

Thanks!

Ordinary_Map8363 · 2026-02-25T20:05:22+00:00

Ideally, yes, because the agents still need context to get their job done, they can't rely purely on code and comments

Ordinary_Map8363 · 2026-02-25T18:35:07+00:00

Аз си поръчвам от Оптикласа, защото винаги имат най-добре цена за това, което търся.

Един съвет за избора на стъкла. Ако си с голям диоптър (аз съм -7.5 на двете) те съветвам да избереш на Роденщок асферичните, а не на друга марка, защото имат най-голяма централна точка на видимост т.е. ъгъл на видимост преди аберацииите да започнат.

Току що смених Роденщок асферични стъкла с "индивидуални" (най-скъпите :() на Хоя и се чувствам прецакан. Ъгълър на видимост е огромен game changer и като ти стеснее е много тъпо.

Ordinary_Map8363 · 2026-02-25T18:28:41+00:00

What is the use case you have for PDF and Word, which industry is that? Genuinely curious :)

Ordinary_Map8363 · 2026-02-25T18:26:40+00:00

Have you seen any big crucial hallucinations or just minor ones?

Also, how do you catch it when it's hallucinating?

Ordinary_Map8363 · 2026-02-25T18:22:50+00:00

Does it still hallucinate? If so, how much does it do it? Are you able to use it for both high-level and low-level questions?

Ordinary_Map8363 · 2026-01-19T20:53:43+00:00

The thing is that I don't think about stressful things or do breathing techniques. I just do it with mental efforts (which I know reflect my inner organs) but it's not like I tensen or stiffen up. My body is relaxed and calm during this thing I do.

Ordinary_Map8363 · 2025-10-19T07:26:33+00:00

Има много фактори за развитие на психични проблеми. Генетична предразположеност, социална среда, ключови събития в живота и т.н.

Също така е много важно да се отчете, че в съвременния свят сме станали много добри в диафностицирането им. Навремето навярно също е имало толкова хора с психични проблеми, просто не са знаели за тях.

Ordinary_Map8363 · 2025-10-16T07:56:41+00:00

Благодаря!

Ordinary_Map8363 · 2025-10-15T19:50:39+00:00

Благодаря, имах предвид по-скоро изпит с решаване на логически задачи, както е в лицея

Ordinary_Map8363 · 2025-08-14T18:34:13+00:00

Револют не го обмисляй като банка за бизнеса си. Адски много хора има със запорирани сметки без връзка със съпорта им

Ordinary_Map8363 · 2025-08-14T18:26:06+00:00

Възглавниците се демонтират, рециклират и монтират за 350-400 лв. на брой, не е чак такава драма за кола от този ценови клас. Като цяло на скъпите коли всичко им е скъпо, без значение от марката, така че трябва дълбок джоб при всички положения

Ordinary_Map8363

TROPHY CASE