https://termonmac.com/
A relay terminal that lets you connect back to your Mac from your iOS device.
I spent about 2 months building TermOnMac.
I am going to develop the next version TermOnHost, which will let you connect to all kinds of hosts (Mac, Windows, Linux, or any Linux embedded system)
And your hosts can connect to each other.
I am not the author. But I think the idea is cool. I use this ruflo to handle it completely to avoid interrupt by AI when vibe coding.(not permission issue, I always use claude --dangerously-skip-permissions)
I'm a software engineer building an app as a side project. I quickly realized AI bullshits a lot.
But you know, engineers bullshit each other all the time too. The difference is we have a way to verify it - logical chains. You have to build an argument that holds up before anayone buys in it.
So I though, can I make AI build its own logical chain ? Let it pass its own logic check before telling me the result.
It roughly works like this:
1. FRAME - Challenge the question itself, hidden assumptions.
2. GROUND - Map what you know, what you need, what's missing.
3. ASSOCIATE - Launch multiple independent agents in parallel to generate hypotheses, avoid anchoring bias.
4. VERIFY - Break each hypothesis into atomic claims, verify each independently
5. CHAIN - Build a logical chain from survivors
6. PROVE and LOOP - Walk backwards from conclusion to premises, seearch for evidence, repair if broken
7. DELIVER - Start with "I was wrong if ...."
It helps me a lot. Whenever I need to check if Claude Opus 4.6 is bullshitting me. I just say "/think verify the above reasoning is correct" or "/think verify the above fix is correct and complete."
With vibe coding you don't really type code anymore. You just tell AI what to do in plain words(voice input helps a lot on phone) and it writes the code for you.
Would that make you reconsider coding remotely from your phone ?
AI lies. The trick is making it double-check itself before it ships.
I made a skill that forces AI to think more. Burns more tokens but improve accuracy.
I suggest you use Meta CoT(Chain-of-Thought) https://arxiv.org/abs/2501.04682 to build a think skill to avoid this problem.
Good point. I agree with that.
The key point is that heavy users benefit from this model while light users are basically subsidizing them.
But it's a distribution when everyone shifts toward heavy usage, prices inevitably go up.
The $17/mo pro price is already set to compete with other providers. Raising it would lose customers. Other tiers are also carefully priced to match competitors.
So the only move left is to prevent the whole distribution from drifting toward heavier usage. That's exatly what this ban does.
I thought maybe you can find more if you write a "special" skill for AI to think hardly.
For example, I'v implemented "Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought" into a skill and the AI becomes able to "think".
The correct rate becomes higher but the only drawback is consuming token very much.
I'm curious about the true logic behind the claim that tablet use lower grades. What is the underlying logic ?
For my own kid, I do limit screen time just because their eyes are still fragile before age 9, not because the above reason.
I asked an AI about the reasoning and the answer comes down to: kids need real-world interaction to support brain development. But if that's the case, aren't these two seperate issues? Using a tablet doesn't damage your brain ... it's just a low-value activity that fails to build the good skills (like video games?) that other activities do. It is not that screens make you dumber, it is that they crowd out the things that make you smarter.
I am going to develop the next version TermOnHost, which will let you connect to all kinds of hosts (Mac, Windows, Linux, or any Linux embedded system) And your hosts can connect to each other.