kasuken / kasuken/LearnStack

Feature: AI assist for summaries, tagging and content-idea outlines

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enhancement
Dominant language
HTML
Stars
10
Forks
0
Avg merge
2h 52m
Merged PRs (30d)
20

Description

Tier 4 — feature idea

Why

The app already models the exact workflow an LLM is good at: a resource has a URL and fetched metadata, and a ContentIdea links back to the resources that inspired it. Three high-value assists:

  1. Summarize a saved article into the description/notes on save.
  2. Suggest tags and the content type instead of making the user pick.
  3. Draft a content-idea outline from two or three linked source resources.
Evidence
  • LearnStack.Core/Data/Models/ContentIdea.cs:44Outline field exists and is only ever hand-written
  • LearnStack.Core/Services/OpenGraphService.cs — already fetches page content that could be summarized
Notes

Needs a per-user budget/rate limit and a visible "AI generated" marker. Keep the provider behind an interface so it can be swapped or disabled.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading LearnStack.Core/Data/Models/ContentIdea.cs:44 and LearnStack.Core/Services/OpenGraphService.cs to understand the existing outline and fetched-content flow. Map the three proposed assists, the provider interface, per-user budget and rate limit, and the visible "AI generated" marker. Done means the scope is implemented without tying the app to one provider and can be disabled.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp
Domain
ai, backend
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
35/100

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