Six years old might be too early to incentivize screen use, though I'd encourage you to research this yourself rather than taking internet comments at face value.
That said, I think there's a distinction between screens and computing itself. You could introduce her to computing power through voice interfaces: a smart speaker connected to an LLM could let her search, learn, and interact with information hands-free. You'd have control over the system prompts for safety, and could whitelist reliable sources for her queries.
Yes, visual information density is higher than audio, but the downsides of early screen exposure might outweigh that efficiency gain. Voice-first computing could be a middle ground, she gets to explore what computers can do without the attention/addiction patterns that screens introduce.
Just one perspective, obviously. Worth doing your own research on the developmental tradeoffs.
I load it via a custom system prompt or skill, then pass my specific need, thought, or anything I want to remember in the future, including events with a certain frequency, as part of the prompt.
From that, I render the URLs needed to create the events directly in my personal calendar via the browser. This part could probably be automated better, but honestly I'm lazy sometimes.
And that's it.
I also try not to overdo it with high-frequency reminders, since that tends to de-incentivize actually using your personal calendar, which kind of defeats the purpose.
On top of that, Telegram 'Saved Messages' with the reminder feature is really useful. The native app makes it very fast to navigate. Obviously not as fast as searching local plain text files, but definitely faster than WhatsApp.
For my understanding, do you use this exclusively when you know the time you want to be reminded, or do you ever use it to surface information at an arbitrary point in the future?
I'm not at my computer right now, but as far as I remember most LinkedIn posts are viewable without logging in if you use the direct URLs, for example:
I have a similar workflow and I'd like to know how sophisticate is your requirement for annotations, because I solve that part kind of smoothly with Excalidraw
Thanks for asking!
Honestly, the editor is still a work in progress.
It has several features now, but there's definitely room for improvement. I'm planning to keep refining it.
The main use case I'm targeting is for people creating documentation/manuals who want to annotate screenshots on the spot without switching to another tool.
The goal is to keep everything within the same workflow - capture, annotate, and save - all in the sidebar.
I'd love it if you could give it a try and let me know what you think!
I have a "kind" of similar need and use *cr* query param based on *ISO 3166-1 alpha-2* [1] to force official language when i want to narrow the search on a specific country (as example when I want to search for english, I use *cr=countryUS*)
I’m a bit confused because I don’t clearly understand the value this tool adds. Could you help me understand it?
From what I can see, if the content I want to enrich is static, the web fetch tool seems sufficient. Is this tool capable of extracting information from dynamic websites or sites behind login walls, or is it essentially the same as a web fetch tool that only works with static pages?
I see many of you asking about the differences between using this versus web_fetch. The main differences are the quality of the data and token usage.
1. Standard web_fetch tools usually dump raw HTML into the context (including navbars, scripts, and footer noise). This wastes a huge amount of tokens and distracts the model. toMCP runs the page through a readability parser and converts it to clean markdown before sending it to the AI.
2. Adding a website as an MCP Resource pins it as a permanent, read-only context, making it ideal for keeping documentation constantly available. This differs from the web_fetch tool, which is an on-demand action the AI only triggers when it decides to, meaning the data isn't permanently attached to your project.
which Gemini free are you talking about? Gemini from aistudio.google.com ?
my guess would be asymmetrical information (most non tech people don't know it exist) and the explicit statement that google will use any prompt shared there, in its free tier, for training and improving their own models
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