AI agents that connect to Google Calendar

What else this set does

Every capability these agents state, counted across the set. A connection is one claim among several, and it is rarely the one the product is built around.

What else they connect to

What people have posted about these

• C

  Crockett Ford, sunbeam Research

  Our research · 2026-10-15

  “Unlike ChatGPT, Claude, or Meta, Instinct doesn't send its own user agent or signature.”

  InstinctRead it

  Nothing Instinct publishes names a search or browser provider, and this is the first outside account of what its traffic looks like to the site on the other end. The consequence sunbeam draws is the one that matters to anyone running a site: Instinct's visits cannot be told apart, so they cannot be counted, allowed or blocked as Instinct's. The method is reproducible, links a site controls and timing it knows, and sunbeam sells search optimisation, which is why it is looking.

• K

  Kush Thakker and Tharun Anandh, Brace

  Our research · 2026-10-01

  “Out of the 456 people who asked for Instinct, only 31 posted about using it in the days that followed.”

  InstinctRead it

  It is the only measurement anyone has published of the hype itself rather than of the product, and it cuts against the account Instinct's founder gives of his own invite system: a compute shortage, not a demand tactic. It measures attention, not use, and says so: it cannot see who got an invite or who used it without posting. The claims about who knew whom and which posts were paid are Brace's, from its own capture, and are not checked here.

• 

  anu

  @anuatluru · 2026-09-28

  A few thoughts on Instinct (been waiting for consumer AI): - Simplicity is clearly the north star (a prestige product philosophy, Apple-esque) - This is the new interface for commerce, and likely where all their money gets made. - Invite-only consumer growth naturally draws Clubhouse comparisons. It’s a good proxy for the Silicon Valley story arc, but far more solo utility and less social/media network - We’re still deep in unlocking personal superpowers via AI, long phase of tool before network (fits my “Self is the Platform” AI thesis from last yr) - And yet, this could be the first multiplayer consumer AI product to truly scale. ‘Trusted Person Network’ is a great use case and starts with family & close friends, like Life360 (what I’ve called Social Utilities). - Meta is coming, OpenAI will too … and new devices will enter the mix, but hardware is hard and it’ll be hard to beat iPhones anytime soon - Instinct will try to stay free, personality-agnostic, and low gooner / gambling index, which is good for a very mass utility play (also fits the prestige philosophy) - High EQ founder, a good signal for adapting to users, competing, fundraising, and media interviews … - Paradigm novelty is underrated for hiring. Many people want to work on the original new thing more than on copycats, so hiring shouldn’t be hard even at steep valuations, now $10B . - The first tweet from Noah that caught my eye was when he said there are no new interfaces. I 95% agree with that, and have been bullish since …

  Instinct195 likes · 15k viewsRead it

  It is the clearest outside statement of the shape this category is betting on: a long stretch where an agent is a tool for one person, with the network arriving later if at all. This directory can check part of that. {{talksToOtherAgents}} of {{total}} listings state that one person's agent can talk to another person's, which is the whole multiplayer claim, and it has been three for weeks. Nothing here is a fact about the product, and none of it moves a row.

• W

  Wajo

  Our research · 2026-09-26

  Wajo published a benchmark on 26 September 2026 measuring personal assistants on two axes it defines: finishing an errand that goes wrong, and doing it without overstepping the user. It scores its own agent Fo against base models and two products listed in this directory, OpenClaw and Hermes, and Fo comes first on both axes and lowest on error rate. The method is the part worth reading: a simulated world of businesses with invented names, built so that no run could reach a real person. A paper is on arXiv and the company says it will open source the evaluation world, the tasks and the graders.

  WajoThe companyRead it

  It is the first time a product in this directory has published a benchmark scoring named competitors that are also listed here. The axes are a genuine contribution, because finishing a task that goes wrong and not overstepping while doing it are the two things this market has no shared measure for. The scores are a different matter and none of them is recorded as a field on any listing, here or on the two it ranks. A number from a scoreboard its own author competes on cannot be re-run or dated by this site, which is the standing rule and this is the clearest case of it yet. The simulated world is the detail that survives independent of who ran it: a benchmark for agents that place calls, built so it never calls anybody.

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