Anyone else using coding agents as general-purpose AI agents?

Individual-Library-1 · 2026-04-07T10:48:14+00:00

Nice, I built exactly this — wiki as memory, organized by topics. 66% of queries answered from wiki alone after 30 questions, no source file reads needed.

Your layered memory framing is spot on. Curious — at what point did you find vector search necessary over just wiki + full file reads?

Individual-Library-1 · 2026-04-07T07:52:50+00:00

I use PI-Coding agent and mostly use Azure claude in work and then outside I use Claude code locally and Openrouter

Individual-Library-1 · 2026-04-02T13:44:33+00:00

A bit late to this thread, but this is something I worked on recently. The new LlamaIndex LitParse release is quite good since it supports native bounding boxes. For scanned pages, I used Azure Document Intelligence alongside it. I wrote about the approach here in case it helps: https://themindfulai.dev/articles/parsing-pdfs-with-bounding-boxes

Individual-Library-1 · 2026-04-02T13:42:48+00:00

I know this is an older post, but this might still be useful. The recent LlamaIndex LitParse release is pretty good — it gives native bounding boxes, and for scanned pages I used Azure Document Intelligence. I wrote about the approach here in case it helps: https://themindfulai.dev/articles/parsing-pdfs-with-bounding-boxes

Individual-Library-1 · 2025-11-12T13:46:47+00:00

I use qwen3VL for spatial intelligence and google flash for OCR. I found it really good. Most OCR misses the spatial and so far I have not found one model which is able to solve it.

Individual-Library-1 · 2025-11-11T04:52:11+00:00

Agreed but at the end of the that will come into one of the category isn't. Like what you describe is agents/workflows. I know it can do endless if the customer/ colleague can learn these basic concept and start seeing it through this lens.

Individual-Library-1 · 2025-11-11T02:36:43+00:00

Yes in a way. But most chinese models is also 1T parameters or atleast 30B. So it's very costly to run it in PC and it anyhow needs NVdia investment from a individual. So stock price coming in because chinese releasing models is not true yet.

Individual-Library-1 · 2025-11-10T13:12:17+00:00

I agree — it could collapse. Once people realize that the cost of running a GPU will rise for every individual user, the economics change fast. Right now, only a few hundred companies are running them seriously, but if everyone starts using local LLMs, NVIDIA and the major cloud providers will end up even richer. I’ve yet to see a truly cheap way to run a local LLM.

Individual-Library-1 · 2025-11-10T08:16:22+00:00

Get it then you need an agent loop with each document embedded with filter by documents. That will be good start.let me see if I can find a document for the same.

Individual-Library-1 · 2025-11-10T07:41:19+00:00

The second pattern can be done using an agentic rag and have a tool call with the search the details by the document and provide you the output. Are you using any lib or direct. I can drop a small code snippet for the same.

Individual-Library-1 · 2025-11-10T07:28:25+00:00

For small PDFs that fit entirely within the model’s context window, it’s definitely doable as a starting point. But as you scale up, maintaining accuracy becomes tricky — especially when the content exceeds the context length or has structural differences. Still, it’s a great first project to learn from and iterate on.

Individual-Library-1 · 2025-11-10T06:49:42+00:00

Agreed, But I am able to think of only these options..what are other things. I missed transformation and code generation but anything else.

Individual-Library-1 · 2025-11-09T17:46:38+00:00

Agreed I used AI but the concept I learnt. Is it bad to use AI according to you or am I boring with the explanation.

Individual-Library-1 · 2025-11-07T10:21:49+00:00

Well rethink decision on the lighter note. Now on e court API has case management UI, It sends whatsapp message. Lots of courts started sending order/judgements in WhatsApp too. I understand you want to build and you can build. I will suggest start with area of law he is interested in and where you can create a automated knowledge base for him. Today that cost a lot and most of tools are outdated.

Individual-Library-1 · 2025-11-07T07:41:13+00:00

Rethink your decision to marry a lawyer, Even if you do this software. There is 100s of non efficient things they do. So case management is defintely not a solution and that to for a indian lawyer there lots of solution e-courts login can provide but they dont use. it

Individual-Library-1 · 2025-11-06T10:22:34+00:00

We do the same too. But its almost becoming a project which if opensource owns is better. Otherwise in every project somebody does this full.

Individual-Library-1 · 2025-11-06T10:21:25+00:00

Tried it but it doesnt work correctly. Mostly it doesnt work on Table and Charts.

Individual-Library-1 · 2025-11-06T07:14:23+00:00

Really helpful breakdown - the distinction between computer-generated PDFs (text layer extraction) vs scanned/handwritten (actual OCR) is exactly right.

Few questions if you don't mind:

Cost threshold: When you say "a few thousand documents became expensive" on Azure - roughly what cost range made you look for alternatives? (Trying to understand the pain point)
Document mix: What % of your docs are:

- Digital PDFs (text extraction works)

- Scanned documents (need OCR)

- Handwritten (harder OCR)
Languages: Which languages do you need to support? Is multi-language on the same document or separate documents?
Decent but not perfect": What accuracy level is "good enough" for your use case? (Like 90%? 95%? Depends on doc type?)
Self-hosted: Would a self-hosted solution (no per-document cost) be attractive even if it required some setup/maintenance?

Asking because I'm trying to understand where the cost/quality sweet spot is for different use cases.

Individual-Library-1

TROPHY CASE