Open Source MindManager AI Integration, Win + Mac

btw, afair, mindmanager mac dont support winwrap macro, isn't it?

how do you write this?

thank you.

ps: i am poor and i'll never have macos and i am against their close source idea (even microsoft is more open source then them, SJ is indeed a very very SF person)

If you go to my github repo you can read in the documentation that I'm using the AppScript Python library, which wraps Apple Script (the worst language I've ever seen). Python scripts are started (including parameters) with Apple Automator which integrates in the MindManager menubar.

Thank you for your comment.

Unfortunately, grabbing the token in this manner is against the rules of the AI vendors and it's not fair too from my point of view.

Using chat APIs is indeed very cheap. If you are using an API within your company you can even more save costs by using the API together with your collegues.

Have a nice day.

i use Claude 3 opus, opus is the paid version of sonnet....... obviously sonnet is the free one and what do you mean by it's the best now?

thank you.

btw, i have done that easily before using python and winwrap macros.

the only problem is the paywall.

each press will cost you money is very differ from a fixed USD20/mo.

may be you and i are in comfort,

but imagine someone in 3rd world, no water no food no eletricity,

they walk KMs away to pick a bucket of water, then pull a rotor for an hour to get eletricity.

may be they have to hunt wild animals too.

i am already excluded those who are suffering in WARS.

so i still ask FOR THEM and myself if it's possible to use the all-you-can-eat plan instead.

thank you.

Anthropic released the new Claude 3.5 Sonnet model yesterday (2024-06-20) on their developer platform.

Anthropic points out that this model can outperform GPT-4o and others despite being cheaper. Before, Anthropic had with Claude 3 the models Opus, Sonnet, and Haiku, with Haiku being the cheapest.

I understand your concern about the costs, but my main interest is in evaluating each AI platform and connecting it to MindManager easily.

If you want free or cheap AI resources you can look at the Huggingface ecosystem or Google Colab solutions.

If you want save costs on the AI platform you can use my solution but intercept the API call. Just grab the prompt (log-folder) and feed it in your LLM subscription chat window. With small changes in the code you can later feed the result back in to the solution and generate the new map or glossary.
For maps it's simply a Mermaid-format import, and for the glossary it's a Markdown import.

Another problem in my python approach, and it seems also in your script,

is that it seems you set "pre existed" prompt and apply that to the topic text.

in real life, quite many times the 1st reply from AI is not good,

i have to ask further/again to obtain the result i want.

this is also the reason i didn't subscribe to some " pdf to anki" AI service that turn a PDF into flashcards -- i think i need fine tune and using the fixed USD20 plans is more fit. many times you shot but not every time a shot will be on the target.

My engineered prompts follow either zero-shot or one-shot strategy by now, so there is only one LLM request needed for the whole result (except "complex" actions like "refine,refine,cluster").

My future goal is the implementation of agentic actions using multi-shot strategies to overcome the 4000 token limit for each call.

LLM costs depend on the called actions and the "max_token" config-parameter.

If you want to know details about the implementation you can just look at my code or ask me. Discussing the costs of LLMs is not on my agenda. In regards of privacy I'm using Ollama and local models.