Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

MIT Report Finds Most AI Business Investments Fail, Reveals ‘GenAI Divide’ — Virtualization Review

DeepSeek V3.1 just dropped — and it might be the most powerful open AI yet

Your next customer is walking the Disrupt 2025 expo floor

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Finance AI

This startup thinks email could be the key to usable AI agents

By Advanced AI EditorJuly 1, 2007No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


<span class="caption">Mixus co-founders. Left: Shai Magzimof. Right: Elliot Katz. | Image Credits:Mixus</span>
Mixus co-founders. Left: Shai Magzimof. Right: Elliot Katz. | Image Credits:Mixus

AI companies are pushing agents as the next Great Workplace Disruptor, but experts say they’re still not ready for prime time. AI agents often struggle to make decisions by themselves, hallucinate frequently, can’t cooperate with other agents, fail at confidentiality awareness, and integrate poorly with existing systems.

Industry pioneers like Andrej Karpathy and Ali Ghodsi have said that, like the deployment of autonomous vehicles, humans need to be in the loop in order for agents to succeed.

A startup called Mixus wants to address that with its AI agent platform that not only keeps humans in the workflow, it also lets users interact with agents directly from their email or Slack.

“We’re meeting customers where they are today,” Elliot Katz, Mixus’ co-founder, told TechCrunch. “Where is every person in the workforce today? For the most part, they’re on email. And so because we can do this through email, we believe that’s a way we can democratize access [to agents].”

If Mixus works reliably, it may solve a big problem in the AI agent space. Most AI companies today either give you a pre-built assistant, à la ChatGPT or Gemini, or developers have to build custom agents using frameworks like LangChain, AutoGen, or crewAI.

Mixus launched in beta out of Stanford only in late 2024, but it has already raised $2.6 million in pre-seed funding and brought on some customers, including clothing store chain Rainbow Shops, as well as others across finance and tech.

The startup says its biggest selling point is ease of use, from how it helps you create agents to how you can interact with them. Users can use text prompts to set up their agents within Mixus’s platform via a chat function, or by simply emailing instructions to agent@mixus.com. Then Mixus will build, run, and manage single- or multi-step agents directly from the inbox.

For example, a customer support manager may use a prompt that reads so:

Create an agent that finds all open tasks in Jira in project mixus-dummy, and send me a report with information on all tasks that are overdue. Draft emails to all the assignees who have overdue tasks, and have me review them in the chat and with simple clear formatting for email (no attachments/docs). Once I verify, send the emails. Run it now. And moving forward, run it every Monday at 7am PST.

<span class="wp-block-image__credits"><strong>Image Credits:</strong>Mixus</span>
Image Credits:Mixus

Katz and his co-founder Shai Magzimof demoed the agents for TechCrunch, showing how to add human verifiers for your agents by simply instructing at which step the agent should ask you for oversight.

For example, they ran an agent to do research on TechCrunch reporters before pitching them. The agent identified and gathered technology news and trends, analyzed the information to identify potential story angles, and compiled a research report summarizing the findings. At the last stage, the agent was directed to send the information to Katz for verification. Once approved, the agent would send the completed research report to Magzimof.

Story Continues

The founders noted that humans can be in the loop as much or as little as required — Magzimof said organizations can set up company-wide rules, like ensuring an email gets checked by a human if it’s being sent outside the company.

Bringing other colleagues into the workflow is as easy as tagging them in the chat with an AI agent, or copying them on the email to the agent. That’s another standout compared to agents on the markets today: Most models are single-user, and while Notion AI and Slack allow users to collaborate in shared spaces, they don’t let the AI manage conversations and tasks between teammates in real time.

Another core feature of Mixus is its ability to remember files, chats, prompts and agents.

“We created Spaces so that every team, every person, every group of people can have a shared memory,” Magzimof said. “Then all my agents, all my files, all the people can be in that very specific Space’s memory.”

While ChatGPT and Claude both support memory, their enterprise plans don’t yet support shared agent memory across users.

In our interview, the founders ran through an hour-long demo showing a range of use cases and abilities. Mixus’ agents do seem capable, reflecting a high degree of autonomy and memory that places the company towards the higher end of the AI agent spectrum. That is, if the product works as reliably as it did in the demo.

Like other agents, Mixus can integrate with other tools, from Gmail to Jira, and users can trigger agents to run immediately or on a schedule. Agents can run and edit documents or spreadsheets inline — similar to ChatGPT, Microsoft Copilot, and Google Gemini, but those are often limited to sandboxed environments.

Mixus also lets agents autonomously navigate organizational context — like figuring out who in an organization owns a task by looking through Jira tickets.

Built on a combination of Anthropic’s Claude 4 and OpenAI’s o3, Mixus agents also have access to the web, which Magzimof says can be tapped for tasks like live research or monitoring. He described it as “Google Alerts on steroids.”

Taken together, Mixus appears to be less of a productivity tool and more like a tireless digital colleague – yet another ambitious attempt to reimagine AI as a collaborator. If it works as advertised, your next “coworker” might not be human, but it might get through your inbox faster than you do.

Correction: This article was updated to reflect how much Mixus has raised to date.

Got a sensitive tip or confidential documents? We’re reporting on the inner workings of the AI industry — from the companies shaping its future to the people impacted by their decisions. Reach out to Rebecca Bellan at rebecca.bellan@techcrunch.com and Maxwell Zeff at maxwell.zeff@techcrunch.com. For secure communication, you can contact us via Signal at @rebeccabellan.491 and @mzeff.88.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleIBM (IBM) Forms ‘Hammer Chart Pattern’: Time for Bottom Fishing?
Next Article Asian shares fall after a quiet day on Wall St, but Nvidia hit by US ban on exporting AI chip
Advanced AI Editor
  • Website

Related Posts

Chinese AI firms form alliances to build domestic ecosystem amid US curbs

July 28, 2025

I sat in on an AI training session at KPMG. It was almost like being back at journalism school.

July 26, 2025

How AI is transforming the lives of neurodivergent people

July 26, 2025

Comments are closed.

Latest Posts

Barbara Hepworth Sculpture Will Remain in UK After £3.8 M. Raised

Senator Seeks Investigation into Jeffrey Epstein’s Work for Leon Black

Spike Lee’s ‘Highest 2 Lowest’ Features Art From His Own Collection

MacDowell’s Chiwoniso Kaitano Wants to Center Artist Residencies

Latest Posts

MIT Report Finds Most AI Business Investments Fail, Reveals ‘GenAI Divide’ — Virtualization Review

August 19, 2025

DeepSeek V3.1 just dropped — and it might be the most powerful open AI yet

August 19, 2025

Your next customer is walking the Disrupt 2025 expo floor

August 19, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • MIT Report Finds Most AI Business Investments Fail, Reveals ‘GenAI Divide’ — Virtualization Review
  • DeepSeek V3.1 just dropped — and it might be the most powerful open AI yet
  • Your next customer is walking the Disrupt 2025 expo floor
  • Feds Sign AI Agreement with Cohere to Modernize Public Services
  • Google and NASA Pilot an AI Medical Assistant for Deep Space

Recent Comments

  1. Matthewhax on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. Richardfaf on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. Jimmyjaito on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. AshleyFab on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. Wayneatozy on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.