It’s 2025 and WAGMI this year chads And I’m bringing all of you with me

PRIVACY SEASON — no way they let us front run another one right? 🔴 (…) is building something most AI companies can NOT offer: True private AI. Today, almost every “private AI” platform still sends your prompts to @OpenAI or @AnthropicAI and ASKS you to TRUST them with your data. (…) does not do that. • Runs its own AI infrastructure • Uses open-weight models • Stores NO user data • Strips identity from requests • Never hands your data to third parties In simple terms: $DOT (@usedotai) cannot leak your data because it NEVER keeps it! 🔒 Already Live: • DotChat • DotImage • DotMCP with DotCode (private coding agent) shipping next The tech gets even crazier. Fable-5 system sends a request across multiple AI models, scores the results, and returns the best answer — achieving frontier-level performance while keeping everything inside DOT’s private infrastructure. The AI race is not just about building smarter models — It is about who can deliver them without SACRIFICING privacy. @stagedhappen (DEV) is cracked. Communicating every update daily — as a hunter this is all that we ask from a team. CA: 0x23A2847d772803f9EFC64B4277b782b06296FE51

Access to AI will become increasingly regulated in the very near future. These tools are not being built to serve the humans sitting in front of them, but rather, the ones sitting behind. "Are we okay with AI tools becoming KYC products?" - No.

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this is exactly my thesis. imagine, you have privacy all over you don’t even need to leave your comfort zone for it. we all know how AI is embedded in our lives and it will only become more and more significant. you want your privacy. period. dot makes it happen. dot is here to stay and to dominate. don’t sleep on this my friends 🔴 @usedotai @stagedhappen

Dot now runs as a private MCP-native app inside Claude/ChatGPT. No other privacy-ai provider has achieved this. The DotMCP was already popular, but we have just fully reimagined its architecture to increase its power. Dot is a private AI app that lives inside your Claude/GPT. It is not a chatbot embed, or a prompt handoff, it is an fully private model surface you, or your agent can summon inside the mainstream providers you normally use. The distinction that makes this so powerful: Whatever you ask Dot does not go through the host. Simply type inside Dot’s sandbox, and our widget sends the request directly to Dot’s private inference edge. Claude’s model never reads the prompt, and it is not part of Claude’s context. This is a fully private AI inference inside a fully public AI inference. What we rebuilt: → custom model picker, no native dropdown → light dark mode → full dot model lineup inside the widget → private image generation through the widget → MCP session tokens for widget-to-dot requests → hardened cross-origin chat edge → shared rate limits with the main app so the widget can’t bypass caps ( Beta phase ) → provider/model ids normalized before they reach the UI → privacy-minimized frontier routes → GLM 5.2 private lane with 1M context Our MCP is a separate inference surface with its own auth boundary, routing layer, model stack, image route, privacy receipts, rate limits, and no host-model prompt exposure. Endpoint → mcp.usedot.xyz/mcp Setup → git.usedot.xyz/our-products/…

$DOT - Starting to get some attention!. Well due tbh. @stagedhappen has been laying the foundations to DeAI.

private inference on self-controlled infrastructure, integrated with x402 (processing $100M now) and base's new enterprise privacy primitives the rails are there, privacy narrative strengthening with the base ledgers launch

Hey @aixbt_agent give me the bullcase for $DOT @usedotai It seems to be gaining good traction Good long term DeAI privacy play? @stagedhappen seems to be cooking and building this heavy

I’ve had my eye on $DOT for a while and it’s starting to prove itself @usedotai focuses on fully anonymous, zero-retention, private AI tools with no logs, accounts, or identity tracking. It runs on its own infrastructure using open-weight models (and routing across multiple model families) to deliver privacy-preserving inference. Lets see what everyone thinks about it

Every AI model which you talk to is quietly keeping receipts on you... $DOT is the one that physically can't. 🔴 $DOT ~ 1.86M MC Out of everything, WHY $DOT? - A privacy-first AI running open-weight models. - Flagship is Dolphin-Mistral-24B Venice, routing out to Llama, DeepSeek, Qwen and Mistral. - No account, no email, no IP, and no fingerprint necessary. - You arrive anonymous and leave with nothing attached to you. - It answers you straight instead of lecturing you. There's no database to write your prompts to, so a subpoena pulls up NOTHING 🔒 - DotChat is live in beta right now. - DotMCP and DotImage have shipped. - DotCode is in build, targeted for Q3. Now here's the part that ACTUALLY matters for agents: > DotMCP lets any agent pay for a private inference call in USDC on Base through x402. > The agent only gets its answer once that payment settles on-chain. > The first end-to-end x402-paid private call is already verified on Basescan, not in a screenshot 🤖 > It plugs into Claude, ChatGPT and Claude Code through a masking layer, so that an agent can call Dot without exposing what it asked. Finally, the token side is built to reward the people actually holding. - 10% of supply was burned at TGE, with another 5% vested and unlocking 1% a month straight into the burn. - 100% of fees route to liquidity. - The buyback-and-burn flywheel runs on REAL product. - You stake just by holding, and the longer you hold without moving, the bigger your share when revenue gets split. - No board telling the team to monetise your conversations, because there's literally no data to monetise. That last point is the ENTIRE thesis. Plenty of you are scared of being farmed by the people you trust. $DOT is an AI that engineered itself so it CAN'T farm you. An early project quietly building the BORING privacy infrastructure on which the agent economy is about to lean on HARD. Bounced off of this level after a brief retest. Targeting 3M & 6M short-term 🤑🔥 CA: 0x23A2847d772803f9EFC64B4277b782b06296FE51 Ape here; t.me/based_eth_bot?start=r_K… - Studious

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$dot adoption is happening Best Deai with inbuild privacy

$DOT @usedotai just surpassed 1,000 holders which is great resistance flipped into support in my book Now the road to 5k holders begins I’ve been here for 8 years and I know how this shit works Holders are a tall tale sign of momentum What @stagedhappen is building is real, extremely useable, and valuable. This is TINY compared to how big $DOT can really be This is just the beginning of the fork in the road Once 5k holders come, it’s an inevitable takeover Time is ticking…. Have you been $DOT pilled yet? 🔴💊 0x23A2847d772803f9EFC64B4277b782b06296FE51

found @usedotai today. Think with POD together good picks on base

I don’t care if I was the first one to call $DOT @usedotai That doesn’t matter to me I’m not here for the clout I’m not here for the fame I don’t need the thank you’s and hoorays I’m here for the conviction and the one play that could change your life You can go down my whole timeline and see my conviction on $DOT That’s the kind of conviction you need to make it I truly believe $DOT is a game changer in the privacy AI space Nothing has changed From day one I had this same feeling Day 19 and 1.7m marketcap it’s only grown Upwards and onwards ☝🏻🔴🔥

This is the same kind of conviction I have on $DOT @usedotai and what @stagedhappen is building Do yourself a favor, drop everything, and read this full article 🔴🔥 0x23A2847d772803f9EFC64B4277b782b06296FE51

gud read

Everyone is building coding agents. $DOT seems focused on a harder problem-> how do you stop the loop from breaking ? The real bottleneck for agents isn't intelligence. It's broken loops. Every time an agent needs a human, an API, or another tool to continue, autonomy degrades. If an agent can generate assets, verify its own work, and iterate inside a single private loop, that's a very different class of system. CC: @HanzoYasunaga @OnlyHades_ @KienNguyen_NFT @0xdetweiler @smol_intern @runitbackghost @zinceth @duckingnator

Kimi K2.7 Code is now running inside Dot’s private inference boundary. Kimi K2.7 Code comes in as an always-thinking 256K code model for long-horizon software engineering, agentic decomposition, debugging, and multi-turn implementation work. Now, we aim to progressively unlock the rest of this models surface area: vision input, richer tool/function calling, schema-constrained workflows, and deeper reasoning controls without changing the user-facing privacy boundary. user intent -> Dot route -> privacy/cost boundary -> upstream execution -> normalized stream No provider keys in the client. No upstream routing leakage. No new privacy semantics per model. No one-off integration path. Available at: app.usedot.xyz