[1] hex https://github.com/kitlangton/Hex

I used to use Handy but as of a few months ago it had stuttering and other issues so I switched to Hex. Even for relatively long minute long dictation, transcription is near instant and accuracy is more than sufficient, especially when talking to AI since it that can “read between the lines “.

Using voice with code agents is a huge unlock and I’m surprised to see some people I recommend it to, still resist it.

As for TTS I found it fun to make a voice plugin for Claude Code that uses PocketTTS, so it can give brief updates whenever it finishes a turn:

https://pchalasani.github.io/claude-code-tools/plugins-detai...

https://www.reddit.com/r/codex/s/hVv29obfFD

My understanding is that ChatGPT Pro is effectively a multi agent system, or somehow uses multiple LLMs in parallel and selects a best answer. And Ultra is more similar to Claude-Code UltraCode where the main agent can choose to create a dynamic JS workflow that deterministically orchestrates multiple agents to handle different parts of a task and have adversarial checkers etc.

Is that more or less the difference? Any substantiating sources would be great to see.

Foundations of Data Science (2020):

https://home.ttic.edu/~avrim/book.pdf

    Ok so I'm going on a walk. I'll dump a link to a Hacker News   
    discussion about an article. 
    You have to read the article and the discussion and walk me thru   
    all the interesting details, nugget by nugget, and move on when 
    I'm ready for the next piece.

    ok, Great show me the link, I'm waiting.

Me:

    Ok I pasted it. Now go.

For the Socratic quiz I say:

    I want to understand this more deeply. So instead of you just telling me
    everything, lay out the problem and a question for me to think about, and 
    I'll try to answer. Even if I answer wrong, you should resist giving me the
    answer, and instead keep digging with more questions, so that I eventually 
    arrive at the answer myself.

https://pchalasani.github.io/claude-code-tools/plugins-detai...

My current “audio-learning” hack is ChatGPT Live which has become shockingly good after being awful compared to Claude Voice (Let’s not even talk about Gemini voice which is still bad).

I go on a walk and dump a paper or article link in the chat, and ask chatGPT Live to walk me through the content in small nuggets, so I can discuss them interactively. For deeper topics I have it quiz me Socratic style so I’m not just passively listening, and actually thinking through problems or ideas.

(1) Avoid AI Writing - https://github.com/conorbronsdon/avoid-ai-writing

(there is a similar "humanizer" skill that (1) subsumes)

(2) Agent style: https://github.com/yzhao062/agent-style

(3) Journal-adapt (style transfer from your writings): https://github.com/WantongC/journal-adapt-writing-skill

I find it useful to set up dynamic workflow loops with (1) and/or (2) as checkers.

On (3) - I think "style-transfer" that was all the range in image-gen is going to be very useful for prose-generation. Curious if there are LLMs specifically trained for this.

- parallelism: "if it makes sense, use ultracode to do this thoroughly" Claude decides if this is the type of task that can benefit from a dynamic workflow. For example where there is a large number of similar independent sub-tasks, it can choose to set up a dynamic workflow, and it even sets up verifiers/tests etc to validate its work. In some cases it pushes back and decides not to set up a dynamic workflow and instead works on the task directly.

- verification loops: "Set up a dynamic workflow with adversarial checkers, and iterate until they are all green, up to some sensible limit". Similarly, I can include code-simplification steps and documentation-update steps.

These patterns help me leave it unattended for longer periods of time and return to a reasonable assurance of correct code.

This misses an important detail. In Claude Code [1], ultracode suggests the agent create a JavaScript code to deterministically orchestrate sub agents. This is different from just having the main agent launch sub agents and (non-deterministically) manage them.

The resulting workflow is called “dynamic” because CC creates this orchestration script dynamically, “on the fly”.

[1] https://claude.com/blog/introducing-dynamic-workflows-in-cla...

Another useful thing about dynamic workflows is you can ask Claude to make them durable as skills (or slash command) that can be invoked later.

I believe inside Google they have a similar concept called “deterministic workflows”.

I find ultracode extremely useful. Of course you have to watch how your 5 hour and weekly session usage percentages are getting used. So I had Claude make a status-line with 3 progress bars: for context window, 5h session, 7d session:

https://pchalasani.github.io/claude-code-tools/tools/statusl...