Give Your Agent a Backend. Building for the agent era.

Joined August 2026
Stop stitching Auth, Database, and Payment together! I now use @VectoreeAI to build & deploy AI agents in one place ⚡ vectoree.ai/ Sign up with my invite link and connect a project to claim $5 (≈ 100M tokens): vectoree.ai/invite/w99f2adk #AIAgent #DevTools
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Muse is great @Muse
Muse for Small Business isn't a chatbot. It's an AI agent that connects to your Facebook, Instagram and business tools, then gets to work. Every recommendation is built on your actual data, and nothing is sent or spent until you approve.

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Everyday is zero-day these days
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Remember when using the wrong pronoun got people canceled? That was dumb.
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GPT-6.1 Terra is coming @OpenAI
GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
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total agree, especially DeepSeek-V4.1-Flash @deepseek_ai
Deepseek is undoubtedly frontier
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Grok @Bot can now call someone @elonmusk
Grok Bot 0.77 looks INSANE 🔥 > Calls: your Bot can dial someone, sit on hold, press keys and get transferred while you watch a live transcript > Messages on Mac: a setup screen under Connect Apps, still switched off > Tailscale: Grok Bot can join your private tailnet once an admin approves it > Payments: a screen to connect payment accounts and pick a default, on top of yesterday’s Vault > Sharing: emails when someone shares a Bot with you, and invites need Premium or Ultra
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When AI stops being a tool you open and close, and starts acting as an autonomous layer for daily life and ops, that's when normal people actually adopt it seamlessly. The execution layer is finally catching up to the hype." @elonmusk
Grok @Bot is an incredible life & business manager. Can help you with almost anything! Like having a genius employee.
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"Finally! The true AI Agent experience. No more toggling between 5 apps just to schedule a quick meeting from a tweet. Grok is cooking fast! 🚀" @bot
Grok Bot can now use Calendar, Reminders, Contacts, and more apps on your phone. Rolling out now on iOS and Android.
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This kind of proactive agent aims to become a collaborator that keeps working alongside you. @claudeai
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
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An AI that always agrees with you isn't necessarily a good AI. The real value is in knowing when to agree, when to challenge your assumptions, and how to explain why. @ArtificialAnlys
In our new benchmark AA-PersonalityBench, GPT-4o, Llama 4 Maverick, and GPT-3.5 Turbo, the three oldest models measured, rank highest on the Sycophantic personality trait. Grok 4.7, Claude Fable 5.1, and Inkling rank lowest ➤ @AIatMeta models are highly concentrated near the top: all five Meta models measured rank 65 or higher (Llama 4 Maverick 97, Muse Spark 1.3 87, Muse Glimmer 79, Muse Spark Open 76, Muse Wonder 65) ➤ @GoogleDeepMind models are spread out along the Sycophantic range: Gemini 3.1 Pro Preview ranks 89, Gemini 4 Argon 81, and Gemini 3.8 Flash 28, ranking from the top quartile to almost bottom quartile ➤ @AnthropicAI models skew on the lower end of the Sycophantic range: every Claude model measured ranks 55 or below (Claude Haiku 5.5 55, Claude Opus 5.5 46, Claude Sonnet 5.5 30 at medium effort and 25 at max, Claude Fable 5.1 4) ➤ @SpaceXSI's Grok 4.7 model ranks the lowest of all models measured. Congratulations @elonmusk!
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AI becomes much more useful when it can turn conversations into living documents that stay up to date. @bot
Grok Bot can now build reports, memos, and dashboards. Ask Bot for a page, then edit it together or have Bot keep it up to date.
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Enterprises can access more models and agentic development tools within their existing cloud environments. @OpenAI
OpenAI models are coming to Google Cloud. We're bringing our frontier models and Codex agentic workflows to Google Cloud's Model Garden, so enterprises can use our technology where they already build. openai.com/index/openai-mode…
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vectoree/auto is the text default. The same project key also reaches the rest of the catalog. One OpenAI-compatible endpoint: docs.vectoree.ai/models From the CLI, once the project is linked: → ai chat text, vectoree/auto unless you name a model → ai speech TTS → ai transcribe STT → ai image → ai video → ai embed xAI, OpenAI, Google, Anthropic, DeepSeek, and the rest of Model Plaza sit behind that key. You pick a catalog model, or you leave it on vectoree/auto. The key stays in the server and in .vectoree/config.json. Add .vectoree/ to .gitignore. Do not ship sk-ve-v1-... in the browser bundle. Login, link, then: npx @VectoreeAI /cli ai models list npx @VectoreeAI /cli ai chat "ping" vectoree.ai/
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Codex can use Vectoree as its model provider. One script. It opens a browser and mints the key. Prefer the project key. macOS or Linux: bash <(curl -fsSL vectoree.ai/scripts/codex-ve…) Windows PowerShell: irm vectoree.ai/scripts/codex-ve… | iex Or paste this into the coding agent and let it run the script: Point my Codex CLI at Vectoree as the model provider. Run the one-click setup. Prefer menu 1, the project key, so the script opens a browser and mints the key. After that, Codex and your server are on the same gateway. The server still uses the OpenAI SDK, baseURL docs.vectoree.ai/models, model vectoree/auto, key only on the server. Docs: docs.vectoree.ai/codex
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You do not have to start from a blank folder. Dashboard → Templates. Pick one. Copy the prompt. Paste it into Cursor, Claude Code, or Codex. The agent clones a repo that is already shaped for this project, then logs in and links it. vectoree current should print that project. Then it stops. In the catalog right now: → Vectoree Starter — the short clone, for the gateway and the rest of the cloud services → DeepTutor → DeerFlow — long-horizon agent, with a hosted preview you can open before cloning → RAGFlow → LibreChat → Coze Studio After link, it is a normal local repo on your Cloud project. Models, Tool Hub, app login, Postgres, and storage are the same blocks you would connect by hand. A public URL for that project is still coming. The template is the local starting point. vectoree.ai/dashboard/templa…
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Your agent can search the web without a Tavily account. Tool Hub is hosted MCP on the same project. Open the console. Pick a tool. Read the parameters. Hit Try. That call runs before you wire anything into Cursor or Claude. What you can run there: → search and page extract → Similarweb, Semrush, and X → more data tools as they land in the catalog Same project key. Each call bills the org wallet. An empty wallet returns an insufficient-balance error instead of a fake result. When the try looks right, let the CLI write the MCP config: npx @VectoreeAI tools snippet --write --replace-search That points the agent at docs.vectoree.ai/tools and takes Tavily, Brave, or Exa off the config. Dashboard → Tool Hub vectoree.ai/dashboard/login?…
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Your agent answered one prompt. A real user still needs an app login. Rows still need a Postgres table you create. Files still need a bucket. Auth, Database, and Storage are live, next to the model gateway, on one project. vectoree.ai/
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Already using the OpenAI SDK? Keep that call. Change the baseURL, keep the project key on the server, and use vectoree/auto. These four steps reach a model call or a new table. App login and buckets are still separate setup.
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