KarmaBox
Run your own Claude Code in your pocket.
807 followers
Run your own Claude Code in your pocket.
807 followers
Run hundreds of AI agents from your phone. Turn your devices into a private compute pool, route every task to the best AI, and use Claude, Codex, Gemini and more — no infra, no lock-in.
Readdy
I like that I can focus on what I’m trying to achieve, instead of how to get there step by step.
KarmaBox
@wenjun_shi That’s exactly the shift we’re going for 🙌
KarmaBox
@wenjun_shi Less about figuring out every step, more about setting the goal and letting the system handle the rest.
KarmaBox
@wenjun_shi Thanks 🙏 — that's actually the entire design thesis in one sentence.
Most AI tools still make you carry the how: pick the right model, write the right prompt, chain the right tools, manage the context, remember what you said last time. The load just shifts from doing the
work to operating the AI.
KarmaBox
@wenjun_shi Karma's bet is that the how should dissolve — into routing, memory, skills, runtime selection — so what's left in your head is the goal. You say "prep me for the 3pm meeting" and the avatar figures out
which docs to pull, which model to use, which format you prefer (because it's seen you accept that format before).
The compounding part: as your avatar matures (memory + L1 → L5), the what you can specify keeps getting bigger.
- Day 1 you describe steps.
- Month 3 you describe outcomes.
- Month 6 you describe intent.
That arc is the productivity unlock — and you spotted it before we said it 🙂
I’m not really interacting with individual AIs anymore -- it feels more like directing a workflow.
KarmaBox
@jocky That’s exactly the shift we’re aiming for.
Less about talking to individual AIs, more about setting direction and letting the system carry things forward.
KarmaBox
@jocky Thanks for the support!
That's exactly the vision — you become Tony Stark, and KarmaBox becomes your JARVIS.
KarmaBox
@jocky Less about figuring out every step, more about setting the goal and letting the system handle the rest.
Brila
Which models are best for which tasks in your opinion? What I see recently is that Opus is leading practically any category on Arena.AI. Given they offer their subscription at a huge discount, compare it to tokens via API, the rational choice is Opus for all.
KarmaBox
@visualpharm Great question — but I’d push back on “Opus for everything.”
Arena ≠ real workloads. It measures chat quality, but real usage involves latency, agent loops, tool calls, long context, etc.
A few quick points:
Latency matters — slower models hurt UX in interactive flows
Different strengths — coding, reasoning, classification, multimodal all favor different models
Blended routing wins — fast model for most tasks, stronger model when needed
In practice, one model rarely wins everything.
That’s why KarmaBox is model-agnostic with routing built in — so each task gets the right model automatically.
Curious how you’re choosing models in your setup today?
I didn’t realize how tiring it is to keep checking progress until I didn’t have to.
KarmaBox
@cynthia220 That’s such a real one.
A lot of the fatigue isn’t the work itself — it’s constantly checking and nudging things forward.
Once that goes away, the whole experience feels a lot lighter.
KarmaBox
@cynthia220 HITL (human-in-the-loop) is actually one of the biggest bottlenecks for AI agent continuity — you're constantly interrupted to confirm, approve, or check progress. Karmabox will solve this problem.
Kollab
Once you get used to multiple agents running together, going back to single-thread AI feels really limiting.
KarmaBox
@yan_labs_ Exactly — that’s been our experience too.
KarmaBox
@yan_labs_ Once you see things happening in parallel, the old step-by-step flow starts to feel really constrained.
AdFox (formerly GoodsFox)
Once you get used to multiple agents running together, going back to single-thread AI feels really limiting.
KarmaBox
@janicelewis00 Exactly — once you've experienced parallel AI execution, single-thread feels like using a flip phone. There's no going back!
KarmaBox
@janicelewis00 Totally — that switch from step-by-step to parallel is hard to unsee.
Once multiple agents are working at the same time, the old “wait → next step → wait” flow just feels slow.
Congratulations on the launch, it looks very different.
KarmaBox
@shirleyw Thanks — really appreciate that!
We were aiming to do something a bit different from the usual AI tools.
KarmaBox
@shirleyw Thank you!