Sable vs LLM Convergence

Sable is an AI agent, on a dedicated computer, running 24/7, connected to your apps, working constantly on your behalf. It's a real computer. Always on, always working, even when you're not looking. You give it objectives, not instructions, and it figures out how to get them done. Sable is an agentic AI that works, not one that just talks. Real actions, taken for you, on your own computer. You know that feeling where you're managing everything yourself? Your inbox, your schedule, your finances, your family. All of it, all the time, all you. You go to bed thinking about what you forgot. You wake up already behind. Sable is the end of that. Imagine waking up and the work is done. Not because you stayed up late. Because your computer never went to sleep. It was handling things while you were living your life. Following up on the things you forgot. Organizing what you didn't have time for. Keeping everything moving. And on your computer, there's a team. Not bots. Not chatbots. People. Each one has memory, personality, and expertise. Each one is dedicated to only you. And they don't just respond when you talk to them. They notice things. They remember things. They care. Your bookkeeper catches something in your spending before you even notice. Your life coach nudges you about the thing you said you'd do this week. Your organizer already sorted tomorrow because they know how you like your mornings. They don't wait for instructions. They pay attention. They reach out when it's been too long. They say the thing you need to hear, not the thing that's safe. They know you. Not your profile. You. You choose who's on your team. Create anyone, for any part of your life. A work assistant. A bookkeeper. A daily organizer. A life coach. Or anyone you can think of. This is the kind of help that used to be reserved for people with money. A personal staff. People who handle things. People who know you. Your computer is connected to your real apps and accounts. It doesn't just talk about doing things. It does them. It acts on your behalf, across everything you use. Every action is logged. Every decision is transparent. You're always in control. One continuous conversation that never resets. It learns how you work, what you care about, how you think. Ask about something from weeks ago. It knows exactly what you're talking about. Nothing is forgotten. Nothing is lost. Someone gave their life access to this computer. Their messages, their calendar, their files. That's not a feature. That's trust. And Sable treats it that way. Private things stay private. Always. It never sleeps. From any device, anywhere. -- Full access to features is available with an active subscription. Sable is a productivity tool and is not a substitute for professional advice. For important decisions regarding health, finances, or legal matters, please consult a qualified professional. Terms of service: https://ios.heysable.com/terms Privacy Policy: https://ios.heysable.com/policy

One AI model can be confidently wrong. LLM Convergence asks several at once and makes them reconcile. Pose a question and LLM Convergence sends it, in parallel, to a panel of leading AI models. A model you pick acts as the leader: it breaks every answer down into individual claims and reconciles them over a few rounds. What comes back is a single answer the panel converged on - plus a convergence score, and the specific points they disagreed on surfaced instead of buried. HOW IT WORKS - Ask in parallel - your prompt goes to several models at once, across OpenAI, Anthropic, Google, and fast open-model hosts. - Reconcile - a leader model decomposes each answer into claims and reconciles them round by round, so agreement is earned, not assumed. - See convergence - read one reconciled answer with a convergence score, and inspect the claims that didn't line up. TWO CONSENSUS MODES - Single judge - a leader model judges and reconciles each round. - Claim-commit voting - claims commit by panel quorum and stay committed (inspired by RAFT). GROUND ANSWERS IN THE WEB (OPTIONAL) Turn on grounding and LLM Convergence runs a web search before the panel answers, then puts the cited results in front of every model - so they reason over real sources instead of memory alone. Grounded answers come back with tappable [S1]-style citations and a Sources list, a grounding score next to the convergence score, and an honest "couldn't ground this" when a search turns up nothing. It uses a frontier key you already have (Claude, Gemini, or an OpenRouter model) - no separate search key, and it works on every platform. FACT-CHECK MODE Ask LLM Convergence to fact check something and it switches from answering to verifying. Paste a link and it opens the page - or check pasted text, a bare claim, or the answer it just gave you. It pulls out the checkable claims, runs a separate web search for each one, has the whole panel weigh the evidence, and returns a verdict per claim - supported, refuted, partly supported, or unverifiable - with citations you can tap. It reads how you phrased the question, so there is no mode to switch on. Fact-check mode needs a model that can search the web. BRING YOUR OWN KEYS Use your own provider API keys. They're stored securely in your device's keychain and used only to call the providers you choose - never sent to us. One key per provider: add more models from a vendor you've already set up without re-pasting its key, or override the key for a specific model. Mix and match models, run more than one model from the same vendor, and pin whichever one leads. PRIVATE BY DESIGN LLM Convergence is a pure client - there's no account and no server of ours. - No analytics, no telemetry, no ad SDKs. - Prompts go straight from your device to the providers you configured. - Chat history is saved locally and stays on your device. Delete any conversation anytime. YOU'RE IN CONTROL Choose which models sit on the panel, which one leads, how many rounds run, and the convergence threshold. Multi-turn chat with local history and Markdown-rendered answers. Run more than one conversation at a time - a chat keeps working in the background while you read another. Supported providers: OpenAI, Anthropic (Claude), Google (Gemini), and OpenAI-compatible hosts including Groq, Fireworks, Cerebras, and OpenRouter - the last reaching many models behind a single key - with free open models available. Note: LLM Convergence requires your own API keys from the providers you want to use. Provider usage is billed by those providers per their own pricing.