u/Amarsir

My approach for a project I didn't have experience with would be to first talk it out with an AI. You can pick web chat on any of them. ChatGPT or Claude are obviously fair picks, but Qwen 3.8 Max on chat.qwen.ai is pretty good at talking out a tech plan. aistudio.xiaomimimo.com for Mimo Pro is also good. (Or maybe "Ultraspeed", I haven't tried it out much yet.)

You can even ask multiple, paste back-and-forth, and have them debate it. There are "council" skills and such that let you automatically have multiple agents converse on an answer. But since I think there's a lot of back-and-forth with you, web chat makes sense and gives access to nice models without quota.

And then when you've settled on your approach, you can even ask one of those LLMs to write the prompt for you, then paste that into Opencode.

As for the actual project, you have some choices, like Leaflet.js is specifically made for mapping, but in 2d. Deck.gl works in 3d but is targeting on data visualization. (If you wanted to offer a lot of cultural background on sites.) CesiumJS is for photorealistic Google-Earth type recreations. Etc.

On top of the tech choice will be where you're getting assets from. Cesium will be very limited if you can't get good textures, All the more reason to talk this stuff through.

When you start working, I don't think you need an MCP or any dedicated software like Blender. Either Python or JS will be your basis based on how your decisions go. I would pick Deepseek V4.1 Flash as your primary model for building, but if you want a second opinion to look over your code or offer design alternatives, Muse Spark and Minimax M3.1 are fine picks for 3d as well.

5.3 non-flash is expensive and outdated.  Not recommended.

Did it write them or just run them? Because I'd trust the latter but not the former,

I actually did just hear about that this morning, that K3.1 is more aggressive with submodels. Anyone dabbling in it needs to be pretty restrictive of permissions or have short closed-end tasks.

Hopefully it didn't kill you that badly. That's what 5-hour limits are for.

• Terra (Medium) fills a gap between Luna (Max) and Sol (Low). Reasonable spot on the curve if you felt you needed one.
• Terra (Low) similarly fills a gap between Luna (Xhigh) and Luna (Max), except it's not enough of a gap to care about. If you were stressed between spending $0.04 on Luna (Xhigh) and $0.06 on Luna (Max), this is your moment.
• Terra (High) is a bit higher scoring than Sol (Low) at the same price.
• Terra (Xhigh) and Terra (Max) are just straight up worse than Sol (Medium) and Sol (High).

Which makes for an interesting mirror of Claude. Run the lowest model (Luna / Haiku) at whatever reasoning you want. The middle one (Terra / Sonnet) should run at Medium or High and definitely not above that. The frontier one (Sol / Opus) is ideal at Medium or High, and if you crank it above that you can get more intelligence but you're spending a lot for a small gain you likely don't need.

And the showcase model (Astra / Fable) hasn't been updated for the new generation, meaning they're probably having a hard time getting it much higher.

I suspected as much, but figured I'd play along anyway.

What do you figure the odds are that the one he happens to work on turns out to be fast and high-scoring?

No. Not much is right now actually. Compared to a week or two ago Opencode pulled back a lot on free.

Try different models to get past that part.

There's also Firecrawl and other extractor tools that predate LLMs. If you can get the data locally then your request is about using data you already have and recreating a style, neither of which should really trigger an objection.

That's a fine choice. So are Muse Spark, Mimo Flash, and Qwen 3.8 Flash, and Minimax M3.1 Flash. And they're all cheap enough that you can dabble with them until you find the one that suits you best.

A lot of people overshoot on the highest benchmark or the most power. The best model is the one that specifically works for you.

What I'm seeing is that you had a background that taught you the wrong reactions. And you've learned and are trying to be better, but aren't perfect. And nobody's perfect, so even though we don't make excuses, we also have to give ourselves credit for trying. You are trying.

When the feelings get so strong that you lose control and forget the things you care about, that's called "emotional flooding". It's literally a different part of your brain taking over, and the stuff you know you don't want to do is kind of impossible to remember once you get in that zone.

So the thing to work on is catching yourself before you get too mad.

Step out of the room, get away from the thing that's angering you. Splash water on your face in the bathroom, or go out and do a quick sprint to get muscles working, or pushups, or take an ice cube out of the freezer and hold it until it melts. These are all physical things and they they get us back to reality and away from that emotional flood inside us.

This is really the best answer to overwhelming feelings, whether it's anger or worry or sadness. It's called "grounding" and it's a good technique to learn. Use your physical senses, including motion and workout, before it gets too deep.

As for what happened this time, apologizing (without excuses) and trying to make it up to her are the right steps. And you can tell her what I'm saying here, so she'll also understand how you can work on it.

If you want some resources, try these worksheets:

https://www.choosingtherapy.com/therapy-worksheets/anger/

Those are the kinds of things you would go over in therapy. So while it would be good to have a therapist (maybe through school?) you can at least work on that in the mean time.

Honestly I never expect harnesses to make that much difference. And I probably have more experience with them than most, but I've only used 2 of those.

A: Opencode, because it likes Python.

B: Hermes maybe, because it can choose to process a lot.

C: Atomic Agent is more cautious about permissions, I hear.

D: Goose is very personality-forward, but without necessarily having names assigned.

E: OpenClaw by process of elimination.

I haven't done that combination myself personally. But an important step is building up your AGENTS.md file. Don't overload it with obvious things, and if there's something it only needs to reference occasionally put a file in a docs folder and tell AGENTS "read this file if..."

But you don't want it to start out with too much detective work, nor type the same paragraph in your prompt every time, nor worse - have it guess wrong. So tell it Godot, your architecture, your tone and style choices, etc. If it ever misunderstands and goes in a bad direction, add that in.

(For example, working in Laravel I found models were attempting v12 answers when I was on v13 with different architecture. So I mentioned that directly and results improved a lot.)

I haven't found tremendous difference in model quality for Godot vs other frameworks and languages. But if you want to try research before diving in, youtuber "Bijan Bowen" tests (almost) all the models with similar prompts and I believe his "Pool Party" test is for Godot. So pick a model you're curious about, skim to the Pool Party section of the video, see how it looks to you, and compare.

In general no, but there can be exceptions. We don't have benchmarks on various reasoning levels for DS 1017. But i tend to trust this guy's tests: https://aicodingdaily.com/leaderboard and he showed a large improvement from high to max.

But it also looks like it takes twice as long and costs twice as much, which means it uses twice as much quota. Given how fast free users report hitting the limit right now, take that into account.

I wasn't criticizing. It's just that when you said

It would be wild if he ended up being gifted.

I wanted to take the pressure off the label. He sounds like a gift in-and-of himself and parenting will be a wild ride regardless. You're doing great and being supportive, which is what matters.

Maybe. It's too early to tell, and the label isn't as predictive as you might think and shouldn't be viewed as a trophy.

What we can tell is that you're doing a great job keeping him stimulated and providing information for him to learn, and that's what does matter. Keep it up and watch out for autistic tendencies especially harmful ones. By around age 6 when they want to test him, that's when you can start asking if "gifted" applies. But even then that won't be as important as you paying attention to his needs and interests as an individual.

Dictionaries like Webster's exist to enable basic communication. They aren't the full repository of knowledge on a subject.

Now we're taking vocabulary we can barely define between multiple humans and attempting to apply definitive answers across new situations that are also poorly understood. The only thing I can say with confidence is "it's not the same". That doesn't mean there's no value, no virtues, no reason for consideration. It means all this discussion is a bad analogy.

Since we've already invoked religion, let's go with "God created Man in his own image." I don't know if there's a God. I don't know how accurate or inaccurate any religion is. But I know if any being exists outside of time and space, it has very little in common with my cousin Dave.

$10 per month. You get a pool of capacity that is used up by every prompt in varying quantities based on the model. If you look at https://opencode.ai/go and pick models on the bottom of the list like Deepseek Flash and Muse Spark Contributor, you will get a ton of use and probably never hit the limits.

(You can dabble in models on top of the list like Kimi K3.1 or Gemini Argon, but you will use up your quota pretty fast if you use them a lot.)

The weekly and 5-hour limits are just there to make sure people don't burn through a month of credit super fast. The weekly limit is 50% of month, so at minimum it takes 2 weeks to use up your full $10. The 5-hour limit is 20% of month, so at minimum it takes 2.5 of those sessions to use up your week and 5 to kill the month.

Which means you'll know in advance if you're burning your quota too fast. If you hit the 5-hour limit, remind yourself that each of those is 20% of the month so you can't keep up that rate for long. Like I said, with Deepseek and Muse Spark (and Mimo Flash and GLM Flash) that's unlikely to happen so don't worry about it.)

Agreed, Deepseek has so many fans I'm surprised they haven't wanted to offer their own subscription.

Yes, definitely. Free models from Opencode service are limited to the Opencode harness. (And are getting more and more limited too.) The API key for the paid plan you can take anywhere.

Use Deepseek V4.1 Flash anyway. The question I think you mean is if you get it through Opencode Go or if you put the money directly in Deepseek.

For someone on a limited budget, the answer is pretty strongly "Opencode Go" unless you only think you're going to use it a tiny bit. $10 on Opencode Go gets you $80 of usage. And you can dabble in other things, like Muse Spark 1.3 Contributor or Mimo V2.6 Flash. (But I'd go with Deepseek as the main choice.)

If you were only going to use a tiny amount, like none at all most days and then a quick little bit on others, so that you only got like $5/month of use, then you would be better off putting the money directly into a Deepseek account and paying as you go. (And you'd get faster responses.) But that's unlikely, and since you don't know what you usage will be I'd say it's better to just spend the $10 on Opencode Go for the first month and then make a new evaluation for next month.

Claude is really the best right now, especially for UI and other visual overview. If you don't care for the tone or other qualities that's reasonable. I just wanted to acknowledge that it would be the best fit for that task.

So far, Kimi K3.1 has not appeared to be as strong as the benchmarks would imply. It's not bad, it's just that code testers I look at all found it inferior to Claude and GPT models. Is it the next best though? Yeah maybe, but it's very close to Deepseek V4.1 Flash.

You won't get much use of K3.1 from Opencode though. If you do intend to use it with consistency, I think their own sub might be worth considering.

Deepseek V4.1 Flash is the hotness around here, but also heavily debated. You get a ton of value, but the version you get through Opencode is definitely slower and arguably less good. OC says it's not quantized. Many people don't believe them or think something else is off. So that might be another one where you just put cash in a Deepseek account and just use their API directly.

Regardless of provider, DS is punching above its weight. It's subjective, but here's a youtuber doing the same tests on Deepseek and on Kimi. (I timestamped both to his OS test which is closest to the UI / overview design stuff you're interested in.) Remember that Kimi costs 8x as much in API costs and their relative Opencode deals are even more lopsided.

Argon is stronger in research and security, but they openly said it wasn't particularly trained on 3d and I'd extend that weakness to all frontend / visual stuff. The same guy doing his OS test on Argon.)

So if Anthropic is out and you want "long term heavy use", Deepseek V4.1 Flash 1017 is probably the right model and the choice will be where you get it from.

Haiku is more capable than people give it credit for. I don't ask it to make significant decisions, but I trust it to follow instructions after a task is broken up into multiple steps.

A contained step might be something like "Create a form with these fields and a screen to receive the results, validate and cleanse, and submit to the API. The form will be accessed on <page> and the user should end up on <page>." (Typically written with more detail because I had Opus do it.

It's not trouble at this point because it's automated. The plan is going to be written out anyway, which also determines what can be done concurrently with multiple Haiku subagents.

This is what the orchestrator (Opus agent that writes the plan and/or calls Haiku subagents) is told about them:

- Lane: Bounded implementation and executioner

- Role: Fast execution specialist for well-defined tasks (runs on a cheaper, faster model)

- Weakness: design, taste, ambiguity. It cannot ask you questions mid-task and sees none of this conversation.

- Constraints: execution-focused, no research, no architectural decisions

- Delegate when: the change is non-trivial or multi-file and the plan is settled. When work spans multiple folders or files, scope it per folder or per file set and spawn parallel fixers.

- Don't delegate when: needs discovery, research, or decisions; single small change (under 20 lines, one file); unclear requirements; explaining to the fixer costs more than doing it; tight integration with your current work; visual or UX judgment is required (give precise specs, or do it yourself).

They're kind of opposite. Freakonomics loves the unusual or noteworthy stuff, which is interesting but can give skewed perspectives. Econtalk is very academic, and you can tell who the more interesting professors are. (E.g. I'll always rush to listen to a Mike Munger episode.) But it also gets dry at times.

Glad you liked them.

Check out this post where he ran 4 experiments on the same suspicion:

https://www.reddit.com/r/opencode/s/81O94u2iuB

Deespeek V4.1 Flash is the best for code like what you describe. I think Minimax M3.1 Flash might be a competitive choice for visual tasks like UI design, should you go that way. But even then, DS is no slouch.

I also like Muse Spark 1.3 for explanatory type stuff (writing guides, talking me through a process, etc. And GLM 5.3 Flash is good for language-based tasks and not bad in general, but I tend to reach for it for "second opinion" kind of things.

M3.1 is definitely better than M3, by a fairly large margin. The reason you get more usage out of M3.1 is simply because newer models are often more efficient too.

Kimi K3.1 is the newest thing that benchmarks like it's the best available, but the tests I've seen actually haven't been that strong. And given it's much higher cost, I would definitely go with Deepseek V4.1 Flash as your main choice and only experiment if you don't like what it answers.