OpenAI announced more than 20 products and changes at DevDay 2026. NetworkChuck's live reaction asks a narrower question: if you already run agents and use fast decision models, what is genuinely new for you? He sees Dots alongside Grok Bot and his own Hermes setup, and the Decisions API alongside TypeSafe's Jev. That makes for a useful comparison, provided we do not turn a livestream reaction into a claim that any company copied another or that an unreleased API has won a benchmark.
Watch NetworkChuck's DevDay Livestream
Credit: NetworkChuck's livestream, published 29 September 2026. He says the stream is not sponsored by OpenAI. This article uses the supplied transcript and checks launch status against the linked first-party sources as of 1 October 2026. The stream also includes extended audience Q&A; the chapter links below point to the product discussion.
Dots, Grok Bot, and the Agent You Already Run
At 03:00, NetworkChuck opens OpenAI's announcement and immediately compares Dots with Grok Bot and his Hermes agents. These products overlap in the job they pitch: maintain context, work in the background, use a computer and connected tools, and bring important decisions back to a person. But overlap in the pitch does not establish who built a feature first, which agent finishes more tasks, or whether moving systems is worth it.
| Option | What the source describes | The trade-off to test |
|---|---|---|
| OpenAI Dots | One primary dot at launch, with its own cloud computer, ChatGPT context, connected apps, optional local-computer access, and Work or Codex handoffs. | Convenient inside OpenAI's ecosystem, but access, deeper-work allowance, permissions, and regional rollout matter. |
| Grok Bot | Multiple bots can coordinate, use their own cloud computer, and work across apps; xAI lists a beta and separate Bot usage. | A multi-bot model may fit teams, but test the actual workflow and approvals, not the number of agents in a demo. |
| NetworkChuck's Hermes setup | He describes agents in Slack and on his own machines, with a choice of models, local integrations, and personally managed memory. | More control and portability for a technical owner; more setup, security work, and maintenance are yours. |
NetworkChuck says he had not yet received Dots access and had not used Grok Bot. His preference for a configurable agent is a useful point of view, not the result of a side-by-side test. For readers in Portugal, OpenAI's initial personal Pro Dots rollout excludes the EEA; Business Premium is listed across supported regions, and Enterprise beta requires an administrator to enable it. Dots also starts with one primary agent, with specialist or multiple-dot setups in pilots or future plans.
Decisions API and Jev: Same Job, Different Evidence
At 31:43, the livestream turns to Jev: a model TypeSafe built to return structured choices, scores, and probabilities for software to act on, rather than long prose. The example is a YouTube comment. Is it spam, praise, or an attempt to redirect viewers? The surrounding application uses those answers to route the comment. This is a much narrower problem than having an agent write or operate a whole project.
OpenAI's Decisions API similarly takes a developer-defined set of questions with finite answers and uses Luna's intelligence to classify or choose a next action. OpenAI says its context can include text or images. It was announced in limited preview, with broader release planned; that is not the same as production availability for every builder. TypeSafe describes Jev as an early-access System One model with typed probabilistic outputs and publishes caveats around its speed and cost comparisons. Ollama 0.35.0 also added a local /v1/systemone interface based on Jev's API, with Nimble and Tev1 listed as available models. That is an interoperability option, not a claim that Jev itself runs locally through Ollama.
NetworkChuck's “coming for Jev” is his interpretation of a shared use case, not proof of copying or a settled winner. An independent Every preview test found the winner varied by task: Decisions did better on a small computer-control replay, while Jev was faster in a conversation-classification test. Neither sample establishes broad reliability or a stable cost advantage; OpenAI had not announced Decisions pricing in that comparison.
GPT-6.1 Sol: A Candidate, Not Chuck's Verdict
At 19:35, NetworkChuck reacts to GPT-6.1 Sol. OpenAI positions it near Astra on selected coding, computer-use, and professional-work evaluations at one-fifth of Astra's standard input and output token prices. That is a vendor comparison of model prices and published tests, not a promise that every completed agent job costs one-fifth as much. Retries, tool use, reasoning settings, and review time can change the total.
Chuck wants to try Sol as the main model behind some of his Hermes agents. He is candid that he had not benchmarked 6.1 Sol when he spoke. His disappointment with GPT-6 Sol and enthusiasm for Astra are personal usage reports; the new model needs its own workload test before it earns a role in his stack.
Pro 500 and Ultrafast: When Speed Is Worth Paying For
The 40:23 segment covers the new $500/month Pro 500 plan. OpenAI lists the highest included Pro usage and Astra Ultrafast access for that tier; Pro 100 and Pro 200 do not include Ultrafast. The DevDay recap describes up to 8x faster token generation in Codex and up to 6x via the API. Those are speed claims for token generation, not a guarantee that a research or coding job finishes 8x faster end to end.
NetworkChuck says he might buy the higher tier but does not yet know if Ultrafast is worth it for his work. That is the right buying question. Measure completed tasks, total wall time, corrections, and how quickly the allowance is consumed. OpenAI's API Ultrafast guide is a separate pricing and rate-limit surface from a personal ChatGPT subscription.
The Other Changes He Paused On
In the 45:32 lightning round, he is excited by voice in the refreshed Codex CLI, less interested in cloud Codex because his own remote setup already works, and curious about ChatGPT Space. These are preferences shaped by his existing tools. For a team without his infrastructure, reusable Codex cloud environments and shared settings may be the more relevant change.
He also flags Agents API computer use and Sign in with ChatGPT. The latter separates identity from eligible plan-backed usage in participating apps; signing in does not give every third-party tool unlimited access to a user's subscription. For the full official launch inventory, including plugins and Space, use our DevDay keynote guide.
What Was Not Broadly Available at Launch
- Decisions API: limited preview on DevDay, not general access. OpenAI says broader release is planned.
- Dots for everyone: no. The rollout is gradual, with plan and regional limits; personal Pro excludes the EEA initially.
- Teams of personal Dots: OpenAI starts with one primary dot. Specialist dots are in focused enterprise pilots, not a general multi-dot product.
- Unlimited Ultrafast: no. Pro 500 has a larger allowance, while included usage and optional credits still apply.
Those limits are more actionable than speculation about an unannounced device or who will win the agent market. This was a live reaction to a launch, not a performance audit of every new product.
A Test for Your Own Agent Stack
- Pick one repeated task. For example, triage 50 anonymized comments or prepare one weekly support summary.
- Write the rules before choosing a vendor. Define allowed actions, a human approval point, and what counts as a correct result.
- Run the same sample through available tools. Compare your current agent with Dots or Grok Bot only where you actually have access. Compare decision models only after Decisions becomes available to you.
- Score finished work. Record accuracy, time, total cost, failed handoffs, and how much work a person had to redo. Keep the raw examples for a later retest.
That test may reveal a new product is better for you. It may also show that the setup you already trust is sufficient. Both results are useful.
Turn This Into a Business Idea
The most interesting business may not be another general assistant. It may be a narrow, repeated job for a customer you already understand. This prompt uses the agent, decision, and model-routing ideas above to find a testable offer. It works in any capable assistant and does not require DevDay preview access.
Find a paid problem hiding in these launches
Start from your own skills and customer access, then pressure-test three ideas before building one.
Livestream Chapters
| Time | Topic | Time | Topic |
|---|---|---|---|
| 00:14 | Livestream opening | 03:00 | Dots first reaction |
| 06:35 | Space and specialist dots | 17:12 | Dots, Grok Bot, and Hermes |
| 19:35 | GPT-6.1 Sol | 31:43 | Decisions API and Jev |
| 40:23 | Pro 500 and Ultrafast | 45:32 | Codex, Agents API, and sign-in |
Sources and Link Map
- Creator and event: NetworkChuck's full livestream, OpenAI's official DevDay recap, and Every's early product tests.
- Always-on agents: OpenAI Dots, Dots access and controls, and Grok Bot.
- Decision models: Decisions API status, TypeSafe's Jev introduction, and Ollama's decision-model support.
- Models and plans: GPT-6.1 Sol, Pro tiers, and Ultrafast API guide.
- Builder platform: Agents API and Sign in with ChatGPT usage rules.