AI agent that does your browser, email, and calendar work (honest review of my own tool)

Been building clarkchat.com. It's an AI agent that runs on top of your real browser, Gmail, Calendar, and files. Not a chatbot. It does the task.

What's saved me time:

  • Research I'd otherwise do across 10 tabs
  • Email drafting and sending, calendar scheduling
  • Quick internal tools and dashboards
  • Parallel research

What doesn't work yet:

  • CAPTCHAs and sites that block automation
  • Writing emails humans want to read
  • Long workflows where one bad step breaks everything

Manual browser takeover for passwords is built in. Favorite feature, barely used.

Lots of free tier. Would love feedback and I can quickly improve it for your use case.

Think like Manus agent, but a bit more personal with good memory system.

https://reddit.com/link/1uinhj8/video/q9mhxkl5w6ah1/player

reddit.com
u/ClarkLabs — 7 days ago

Building Clark in public: what works, what breaks

clarkchat.com is an AI agent that operates your real browser, email, calendar, and files. $20/mo.

What's working:

  • Research, email, calendar, file creation
  • Internal tools from a prompt
  • Parallel research fanout
  • Coding via desktop IDE

What's breaking:

  • CAPTCHAs and blocked sites
  • AI email writing is still mid
  • Chained tool calls get brittle as context grows

Built a manual browser takeover for passwords. Favorite feature. Barely use it.

Will keep posting updates. Ask me anything about the stack or what's hard in building agents like Manus.

u/ClarkLabs — 7 days ago

Built an agent that actually uses your computer. Here's what works and what doesn't.

Been building Clark Agent for a while. It's an AI agent that runs on your real browser, email, calendar, and files. Not a chatbot that gives you steps. It does the thing.

What's been genuinely useful:

  • Research where I'd otherwise bounce between tabs for 30 min
  • Drafting and sending email, scheduling calendar events
  • Building quick internal tools and dashboards from a prompt
  • Multi-step workflows without me clicking anything
  • Deep parallel research across many sources
  • Coding via Clark Desktop coding IDE

What still breaks:

  • CAPTCHAs and sites that block automation. Internet hates agents :|
  • AI still can't write a decent email. Not sure it ever will.
  • Long chained workflows where one bad step derails the rest. Tool calls get brittle as context grows.

Connects to Google Workspace and runs a real browser session and computer. Closer to a junior analyst at your desk than any chatbot I've used. You can also take over the browser manually to type passwords (my favorite feature that I almost never use 😂)

Happy to answer questions on how it's built.

reddit.com
u/ClarkLabs — 7 days ago

Open-sourced the Chromium build we use for agent browsing

I open-sourced clark-browser, a patched Chromium build we use for browser-based agent workflows.

Agents often fail for boring browser reasons before they fail for reasoning reasons. This project tries to make the browser side more stable by patching common fingerprinting surfaces directly in Chromium source, instead of injecting scripts after launch.

If you are building agents with browser loops, I would really appreciate feedback on what would make this more useful.

it works very well with agent-browser by Vercel

reddit.com
u/ClarkLabs — 8 days ago

Open-sourced a patched Chromium build that Selenium can drive and stay stealth

I open-sourced clark-browser, a patched ungoogled-chromium build that Selenium can drive like a normal browser.

Instead of relying on runtime JS overrides, the patches live in Chromium source around common automation and fingerprinting surfaces: webdriver, WebGL, audio, client hints, WebRTC, hardware concurrency, and a few others.

It is MIT licensed, has prebuilt Linux and macOS arm64 binaries, and includes reproducible detector tests.

Repo: https://github.com/clark-labs-inc/clark-browser
Curious if this is useful to Selenium users, especially anyone tired of maintaining fragile stealth scripts.

u/ClarkLabs — 8 days ago
▲ 181 r/huggingface+3 crossposts

We released a tiny packed Sana 1.6B model into 1.58bit ... would love feedback from local image people

Hi everyone!

I’m one of the people working on Clark Air, and we just released an Apache-2.0 compressed version of Sana 1.6B on Hugging Face.

It’s not meant to be a polished “best model ever” announcement.

It’s more of a research/artifact release: we compressed the Sana 1.6B transformer into a packed ternary format.

The packed artifact is 374 MB, compared with about 3.21 GB for the FP16 transformer. 8x compression with almost no loss in quality to FP16.

And I love state of the art quality of the generated artifact - way better than native Int4 quant.

Look at these 1bit puppies

https://huggingface.co/clark-labs/clark-air-sana-1.6b-1.58bit

u/ClarkLabs — 8 days ago
▲ 3 r/Agent_AI+1 crossposts

building manus like agent

hey folks, building manus like agent in public

was always impressed with how manus used file system and browser all together, once i asked manus to order me fries and it opened its browser, went and built a shopping cart and asked me to take over and add credentials - my mind was 🫪

or when it would build and host a small website in just a few minutes...

building an agent that navigates a tool space in very natural, consistent way that feels like "oh this is how i would use computer as a human" is non-trivial - especially when using models like qwen 3.5 flash (0.25$ per million output vs 25$ per million output gpt 5.5 as backbone of product)

ended up building a large evaluations and simulations set - agent has fake websites it needs to navigate etc, and there is a mixture of multi modal judges looking at each agentic trace and completion

building solo is hard and at the same is easiest thing ive done in a while, once the evaluation loop and verifiers are setup - any changes can be quickly tested, scored and deployed. and the loop can work 24/7, llms never argue, and it starts feeling like I am the bottleneck (or any human on the team)

i feel like we are slowly getting into a territory that just about any idea - from product to deep ai research can be setup as a closed system with strong verifiers - and humans just need to be reverse prompted for their intuition and taste.

anyway, the agent is finally matching manus quality and ive migrated most of my digital work to it, and i am very happy. and it just took 10,000 simulations environments, prompt and context engineering daily and infinite amounts of tokens 😅

reddit.com
u/ClarkLabs — 8 days ago