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The right chair pays for itself in focus. For 2026 we ranked the ergonomic chairs that actually fix posture without wrecking your▮
judge · claude 3.5 — Winner: Llama 3.3 70B. Tightest hook, stayed on-brand, zero fluff — the others over-explained before the value landed.
The Verdict, live today — the best models race on your brief and a judge crowns the winner. Autonomous agent execution is on the roadmap. Start free →
The plan: you write one sentence in plain English, and the agent will decompose it into a plan, browse real pages, write real code, and run it — narrating every tool call. This is a preview of what's coming, not a shipped feature yet. Today you get multi-model chat and finished workflows; agent execution is rolling out to hosted accounts — join the waitlist.
Found 1 failing test in test_auth.py. The token-expiry check used the strictly-less-than operator instead of less-than-or-equal. Patching and re-running.
12 passed, 0 failed in 1.84s · exit 0▮
Llama 3.3 70B · Groq · enter to run · shift+enter newline
1 import csv 2 import requests 3 from bs4 import BeautifulSoup 4 5 url = "https://news.ycombinator.com/" 6 soup = BeautifulSoup(requests.get(url).text, "html.parser") 7 rows = soup.select("tr.athing")[:30] 8 9 with open("hn_top30.csv", "w") as f: 10 w = csv.writer(f); w.writerow(["title", "points", "comments"]) 11 for r in rows: 12 title = r.select_one(".titleline a").text 13 w.writerow([title, 0, 0]) # enriched below
$ pip install beautifulsoup4 requests Successfully installed beautifulsoup4-4.12.3 soupsieve-2.6 $ python scrape.py Traceback · AttributeError: 'NoneType' object has no attribute 'text' [agent] selector returned None on row 14 — adding a null guard and retrying $ python scrape.py [14:32:08] wrote hn_top30.csv · 30 rows · 4.1 KB exit 0 $ ▮
You'll manage no infrastructure. When the agent executes code, we'll spin up an isolated container with a full shell and a real browser, then destroy it — nothing shared between runs. This is a preview of a roadmap feature — execution is rolling out to hosted accounts. Join the waitlist.
Plan, act, observe, repeat. The agent will propose steps, run a tool, read the result, and decide the next move — looping until the goal is met or it hands back to you. Scroll to preview the loop. (Autonomous execution is on the roadmap — join the waitlist.)
enter to run · shift+enter newline
Parsing the front page. 30 rows found. Writing hn_top30.csv now▮
[14:32:07] fetched news.ycombinator.com · 200 OK [14:32:07] parsed 30 stories [14:32:08] wrote hn_top30.csv · 30 rows · 4.1 KB exit 0
run trace ✓ plan · 0.4s ✓ navigate · 1.2s ✓ write scrape.py · 0.8s ✓ run + recover · 2.3s ✓ verify csv · 0.3s total 5.0s · exit 0
diff · auth-safe selector - title = select(titleline)[0].text + title = select_one(titleline).text
The plan: instead of staring at a spinner, you'll stream the agent desktop and browser live, frame by frame. See something it should do differently? Take over with one click, drive the GUI yourself, then hand control back. A preview of a roadmap feature — join the waitlist.
agent is reading row 1 · click anywhere to take over
agent clicked Run · process started · pid 2241
you are watching · agent paused on your input
Start on a fast free default, then switch to OpenAI, Anthropic, Gemini, OpenRouter, Together or Cerebras — all from one chat. Bring your own key and pay the provider directly at zero markup, or just use ours.
Start free on the hosted model. Go Pro for more, or bring your own key and pay the provider directly at zero markup. Autonomous execution lands on Team — join the waitlist.
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Every session is logged with real numbers — tokens spent, tasks run, storage used, wall-clock duration and exit status. Know exactly what each run did and what it cost, with a full trace you can replay.
Tokens this month
324.5K
of 1M
Tasks today
12
of 100
Storage
256 MB
of 1 GB
every run logged · full trace · replay any session
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# describe what you want, in plain language > Summarize this PDF and draft a reply [model] llama-3.3-70b · groq · streaming… done · 4.2s · 1,840 tokens > ▮