AI tool comparison
CraftBot vs Sup AI
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Productivity
CraftBot
Self-hosted AI that builds evolving Living UIs around your actual goals
75%
Panel ship
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Community
Paid
Entry
CraftBot is a self-hosted, proactive AI assistant that runs locally 24/7. Unlike chat-based AI tools, it continuously works toward user-defined objectives — breaking them into tasks and initiating action rather than waiting to be prompted. Its standout feature is Living UI: custom apps and dashboards the agent builds inside CraftBot that stay aware of their own state, letting the agent read, write, and act on UI data directly. Users can import, build, or evolve Living UIs as their needs change, turning CraftBot into something between a personal agent and a self-modifying software platform. MCP integrations, Skills, and external app connections let it reach into third-party services while remaining fully local. The agent harness is MIT-licensed. CraftBot first launched on Product Hunt on April 18, 2026, earning #3 Product of the Day with 263 upvotes. Today's re-feature on Product Hunt's front page (123 votes) follows a significant update shipping the Living UI evolution system — where UIs built by the agent adapt in real time as your goals and workflows change.
AI Productivity
Sup AI
Runs 339 LLMs in parallel and downweights the hallucinating ones.
50%
Panel ship
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Community
Free
Entry
Sup AI is an ensemble AI assistant that runs your query through 339 language models simultaneously, measures per-segment confidence across all responses, and synthesizes a final answer that amplifies agreement and suppresses likely hallucinations. The team claims a 52.15% score on Humanity's Last Exam (HLE) — 7.41 percentage points above the single best model — which, if verified, would make it the highest-scoring system on the benchmark to date. The underlying mechanism works like an LLM panel: each model votes on sub-claims within the response, confidence is estimated by agreement density, and the final output surfaces high-confidence segments while flagging uncertain ones. It's designed to reduce hallucination rate on factual tasks, not improve reasoning per se — the models in the ensemble aren't doing collaborative chain-of-thought, they're voting on outputs. Sup AI was built by Ken Mueller (Stanford, CEO) and Scott Mueller (AI Research Scientist) and launched on Product Hunt today. Pricing starts with $10 in free credits, no auto-charge, with a credit card required to start. The HLE benchmark claim is the headline and will face scrutiny — if verified, this is a meaningful research result. If it's cherry-picked, it's still a usable product with a differentiated architecture.
Reviewer scorecard
“The Living UI concept is genuinely novel — having the agent maintain awareness of custom UI state and act on it directly blurs the line between app and agent in a productive way. Self-hosted with MCP support checks all the right boxes for privacy-conscious developers who want real automation.”
“The HLE claim needs independent verification, but the underlying ensemble approach is architecturally sound for factual Q&A tasks. Running 339 models is expensive — pricing will be the gating factor for production use. The $10 free credit is a fair trial.”
“A 'proactive' AI running 24/7 sounds great until it's doing something you didn't intend at 3am. The Living UI concept is interesting but means you're trusting a locally-running agent to mutate your own tools autonomously. Requires careful configuration and a level of trust most users haven't earned with any AI system yet.”
“Extraordinary claims require extraordinary evidence. A 7.41 point jump on HLE via ensembling — without publishing methodology — smells like benchmark gaming. The latency of running 339 models in parallel is also a real concern for anything other than async research tasks.”
“Software that evolves its own interface based on how you actually use it is a genuinely new interaction paradigm. CraftBot is an early implementation of something much larger — the self-modifying personal software stack where apps and agents are the same thing.”
“Model ensembling is an underexplored direction in the race to reduce hallucination. If Sup AI's approach scales, it could be more durable than fine-tuning individual models — you get the wisdom of the crowd across model families, training data, and architectures simultaneously.”
“A proactive creative assistant that builds its own tools around my workflow is exactly what I've wanted. The Living UI concept applied to a content calendar or creative project board could be genuinely transformative for how I manage long-form projects.”
“For creative work, ensemble outputs tend to regress toward the mean — you get the most-agreed-upon version of something, which is usually the least interesting version. This is a tool for factual accuracy, not creativity. I'd stick with a single strong model for writing.”
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