Agents move in, Markdown goes mainstream

Google announced Gemini 4 Argon on 30 September and expanded access on 13 October. The focus is work that needs several steps: code changes, document analysis and business workflows. Google’s app update also adds a chat-to-tasks toggle and an Antigravity coding interface in its macOS app.

Where is it better? Google’s launch table reports 51.3% on AutomationBench against Astra’s 41.4%, and 77.9% on DeepSWE against 74.1%. It also shows where Argon loses: Astra leads FrontierSWE, and Opus 5.5 leads Terminal-bench. Read the full table and its evaluation settings below before choosing a model.

Access matters: Google AI Pro and Ultra get Argon in the Gemini app; Antigravity access is listed for Ultra. Developers have the paid Gemini API route. I have not tested Argon on our business files. The demo below shows Google turning project context into a proposal deck.

Claude Dashboards turns a plain-English question about your data into a dashboard that keeps itself up to date. It connects to Redshift, BigQuery, ClickHouse, Databricks, Snowflake and CRMs such as Salesforce. Click any number to see the query behind it, and every chart shows when its data was last refreshed.

Claude Motion builds short animated explainers from a prompt, using your text, charts, shapes and images. Claude writes each one as code, so you can change any word, number or timing and then export an MP4. Anthropic says no video model is involved: no generated footage, no AI-generated people.

Both are in beta: Dashboards on paid plans, Motion on Team and Enterprise only (as of 8 Oct 2026). The same day, Claude Docs, Slides and Design left beta for every plan, including Free.

Dots are OpenAI's always-on agents, launched at DevDay on 29 September. A Dot runs on GPT-6 Astra with its own cloud computer, connects to “over 4,000 apps” through plugins and keeps working between your conversations. When you are not using it, OpenAI says, it “looks for ways to help in the background” with read-only tools. You reach it in ChatGPT, Slack, Teams or by voice.

Control works through rules: built-in ones for when to act and when to ask, plus Custom Rules that “let you allow specific actions, require approval, or block them.” OpenAI's own warning: “Dots can still make mistakes, so always review consequential work.”

The catch for Europe: Pro access excludes the EEA, Switzerland and the UK at launch. Business Premium seats get it in supported markets, and Enterprise admins can switch on a beta. The first Dot is included in the plan at no extra cost (as of 29 Sep 2026).

Google Docs can now view, edit and comment on Markdown files (.md and .markdown) directly, and Drive shows a rendered preview with clickable links and tables. The file stays an .md file in Drive. Before, you had to import and convert Markdown into a Google Doc, which, in Google's words, “often altered formatting, stripped comments, and fragmented files.”

The rollout started on 5 October and takes up to 15 days, for Workspace and personal Google accounts, with no setting to switch on. Google pitches it at AI work: Markdown is what models write, and now people and agents can edit the same file.

It is the reason I open Obsidian much less. What Docs does not promise: Obsidian extras such as [[wiki-links]], callouts, Mermaid diagrams, frontmatter and plugin charts are not documented, so test before you trust it with your vault.

Jev is a decision model from TypeSafe AI. Give it a record and typed questions: choose an option, assign a score or return a yes/no probability. It fills a form instead of writing prose. A correct output shape does not guarantee a correct decision.

The appeal is cost and latency. TypeSafe lists $0.042 per million input tokens, output free (checked 14 Oct). Its own evaluation plots accuracy against cost and time; inspect both views below. The reference labels come from other models, so test against decisions you have checked yourself.

We tested it. On 14 October, one request sent three AIP7 stories and nine questions. All three workflow choices matched our prepared labels. Confidence fell to 0.38 on the least concrete practical step: a useful flag for human review. The request used 1,740 tokens, about $0.00007. This was a smoke test, not a benchmark. See the exact questions and results below.

Both assistants now plug into the same everyday tools: Canva, Gmail, Google Drive and Calendar, Notion, Slack, HubSpot, Figma, Stripe and Shopify are in Claude's connector directory and in ChatGPT's plugin directory. Claude's marketplace shows 940 connectors and 341 plugins; OpenAI does not publish a total.

The packaging differs. Claude has connectors and plugins that bundle skills, connectors and sub-agents, and the same plugins also run in Claude Code. ChatGPT replaced its App Directory with a Plugin Directory in July, and at DevDay added sidebar panels for plugins, a Plugin Creator and MCP Events, which let a plugin start an automation when something changes in a connected app.

Underneath, both run on MCP, the open standard Anthropic introduced in 2024. One tool maker can serve both, as CoinGecko did: ChatGPT plugin first, Claude connector next.

On 4 October Tibo Sottiaux promised an improvement or a full reset each day for 28 days. The community tracker shows resets on days 2, 3, 6 and 8, including a banked reset on day 3. Its challenge dates use Pacific time; the same announcement can fall on the next day in Latvia. The dated log and source posts are below.

A reset fills your allowance back to 100%; it does not raise your limits. Both assistants use a five-hour window and a weekly cap. ChatGPT and Codex hand out global resets, banked resets you use when you choose, and paid instant resets on Plus and Pro. Claude gives occasional resets as a “Reset for free” button; Pro, Max and Team users got one on 22 September.

The limits themselves keep moving. Anthropic made a 25% higher weekly limit permanent from 14 September, which by its own count is 17% less than the temporary +50% before it. OpenAI says its new $500 Pro tier gives 25 times Plus usage; one user who measured his Codex logs says it does not.

textGrain adds a statistical pattern to word choices, not hidden characters. OpenAI announced EU rollout to eligible ChatGPT and Codex text on 5 October; API customers can opt in for supported models. Copying the words can preserve the signal. Editing and translation can weaken it.

For SEO, the watermark is not a quality verdict. Google permits appropriate AI use. Its current guidance warns against generating many pages without adding value. Neither source establishes a textGrain ranking penalty or confirms that Google uses OpenAI's detector. There is no basis here to promise a ranking loss, or a ranking gain from removing a watermark.

You cannot check this with an ordinary ChatGPT subscription. OpenAI currently restricts text-detector access to approved research and expert organizations. Its public verification tool checks supported images and audio. For most businesses, the useful action is an editorial quality check, not buying an AI-detector score.

MiroFish takes seed material, builds a knowledge graph and creates AI personas that react on simulated social platforms. It runs on OASIS, then produces a report and lets you question the agents. The useful question is which objections to investigate before a launch.

Who tried it, and why? Sanjay Shankar reports testing a SaaS launch before building it: a 6–8 page market brief, 44 agents and 10 rounds. The recurring concern was getting a whole team to adopt the product. He says this shifted his attention toward onboarding and internal champions. That is an author's account of a simulation, not validated buyer demand.

It came up in our AIOS Circle call on 14 October. I have not run it. Start with the maintainer's prepared examples below and compare any proposed simulation with one ordinary prompt. The small comparison shared on Hacker News tested a simplified swarm against a single call, not MiroFish itself.