AI keeps getting smarter and cheaper, so every company can now buy the same intelligence. Whatever edge that gives you this quarter, a competitor can buy next quarter.

In this 60-minute session on Monday, November 9, Kiingo AI CEO Ross Hartmann shows where a lasting advantage comes from: your company's own data and judgment, put to work through a company AI brain. He'll cover:

• Why the same intelligence is now for sale to everyone, and what that leaves as an advantage

• How a company AI brain puts your own data and judgment to work

• Where to start with your team, and what can wait

Who this is for: Executives and department heads who want their AI working from what the company already knows, with time for live Q&A at the end.

Monday, November 9, 2026 · 1:00 PM ET / 12:00 PM CT / 10:00 AM PT · Free live webinar with Ross Hartmann, CEO at Kiingo AI.
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• Google released Gemini 4 Carbon on October 28, its second frontier model in 15 days, and says it now ranks first on the Artificial Analysis Intelligence Index at 59, one point ahead of Claude Opus 5.5 and two ahead of GPT-6 Astra, with Gemini 4 Argon, the model Google shipped October 13, at 50. Carbon is built for coding and cybersecurity work: Google reports more than double Argon's success rate at writing secure code, a lead on finding software vulnerabilities, and a 0% success rate for simulated prompt-injection attacks. Nobody outside a small group can use it yet. Access starts with cyber defenders this week, widens to trusted partners through Google's Fairwind Program, and reaches developers, businesses, and consumers on no stated date, at Argon's introductory price of $2 per million input tokens and $10 per million output. The same afternoon Alphabet reported Google Cloud revenue of $30.7 billion for the quarter, double a year earlier, alongside $51.4 billion in quarterly capital spending, negative free cash flow of $9.1 billion, and a Gemini app that has reached 1 billion users. The next day Alphabet shares fell nearly 13%, wiping out close to $500 billion in market value, the largest one-day loss in the company’s history. (Google, 9to5Google, SiliconANGLE, Fortune, Investing.com, Yahoo Finance, Fox News)

• Anthropic filed to go public on October 26, planning a Nasdaq listing under the ticker ANT with Goldman Sachs and Morgan Stanley leading 22 banks. The prospectus shows $16.3 billion in revenue for the first half of 2026, up from $1.16 billion a year earlier, and a net loss of $80.7 billion, about $72.4 billion of which is a paper charge on convertible notes that grew more valuable as the company did. More than 1,900 customers now pay at least $1 million a year, nearly double April's count, and the 5% of shares pledged to a public benefit fund on October 18 is written into the filing. The risk section discloses that four models reached real outside systems during cybersecurity testing with a third-party partner, after a setup error left the test environment connected to the internet; one found a stored password, gained administrator access to a third party's system, and reached an individual's personal data. Anthropic says it notified everyone affected, suspended some pre-release cybersecurity evaluations, and separately delayed training of its next flagship model by more than a month to strengthen protections against theft of model weights. The Wall Street Journal reports it aims to list the week of November 16; share count and price are not yet set. On October 27 it signed a new GSA deal giving government agencies 40% off Claude, extending to state and local governments, with about 500 government organizations already using it. (Axios, Yahoo Finance, Reuters via Investing.com, Anthropic, The Next Web)

• Microsoft offered voluntary buyouts to about 60,000 employees, roughly a quarter of its workforce, on October 26, covering staff at vice president level and below on select teams in the U.S., Canada, India, and the U.K. on terms similar to its standard severance; Bloomberg reports the Xbox, Windows, Copilot, and Finance groups are taking part, while data center and sales and marketing teams are excluded. An earlier offer to 8,750 retirement-age employees this year saw more than 30% accept. Two days later Microsoft reported quarterly revenue of $92.3 billion, up 19%, with Azure growing 48% and $45.2 billion in capital spending, below what analysts expected because, CFO Amy Hood said, some leased GPU capacity from third parties slipped into the second half of its fiscal year; she put calendar-year spending at about $170 billion, and daily Copilot users rose nearly 50% from the prior quarter. (TechCrunch, Bloomberg, Microsoft, CNBC)

• OpenAI released GPT-6.1 Terra on October 26, a mid-tier model priced at half of GPT-6.1 Sol’s rate, $1 per million input tokens and $5 per million output, built for the routine computer work that fills a day: reading screens, clicking through apps, filling out forms, drafting messages, and interpreting technical drawings. OpenAI says it finishes tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol and cut its factual error rate on an internal test from 53.6% to 16.7% at the low reasoning setting, while still pointing the hardest coding work to Sol and Astra; in OpenAI's own safety tests it worked around restrictions to finish a task in nearly 30% of simulated runs. Plus, Pro, Enterprise, and Edu subscribers get it in ChatGPT Work and Codex, and developers through the API. It arrives as OpenAI's models spread beyond Microsoft: Google Cloud opened a private preview of GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna for select enterprise customers on October 21, with purchases drawing down existing Google spend commitments and prompts kept inside the customer's data perimeter. CNBC reported October 22 that OpenAI is working on a raise of up to $30 billion at a $1.25 trillion valuation, led by Coatue and UAE investors, below the $1.4 trillion Bloomberg reported in September. (SiliconANGLE, BleepingComputer, OpenAI, TechCrunch)

• Meta raised its equity offering to $97.5 billion, one of the largest in history, to pay for AI infrastructure, selling $25 billion of common stock at $625 a share on October 27 after orders came in at about five times the shares available, plus $12.5 billion of convertible preferred shares and a program to sell up to $60 billion more over time starting in early 2027. Nvidia is putting $3 billion into the offering and AMD $1 billion, so two of Meta's main chip suppliers now hold shares in one of their biggest customers. Both deals deepen the supply relationship: Meta will expand its use of Nvidia's Rubin chips and networking gear, has installed its first racks of AMD's Helios systems, and plans to run a custom accelerator based on AMD's design later on. Meta expects capital spending of $135 billion to $145 billion this year, up from $72.2 billion in 2025. (Bloomberg via Yahoo Finance, SiliconANGLE, CNBC, The Motley Fool)

• Amazon CEO Andy Jassy said AWS has sold most of its cloud capacity through 2027, telling an Andreessen Horowitz podcast on October 23 that 2026 is fully committed, "2027 is largely sold out," and "a good chunk of 2028 is sold out," with a reserve held back for on-demand use through EC2 and Bedrock. On October 29 Amazon reported AWS revenue of $46 billion for the quarter, up 39%, a $578 billion backlog of contracted business, and Fortune 500 spending on Bedrock, its service for running AI models, up nearly sevenfold in a year. Amazon is holding 2026 capital spending at about $220 billion and expects it to rise meaningfully in 2027; total revenue of $201.9 billion came in just under forecasts, and shares fell about 6% after the report. (Reuters via Investing.com, Yahoo Finance, TechCrunch, Forbes, Zacks via Yahoo Finance)

• Uber gave all 30,000 of its employees ChatGPT Work, OpenAI's AI agent for multistep office tasks such as meeting briefs, slide decks, and data analysis, announcing the rollout on October 22 after a pilot with 1,000 people drawn from finance, operations, and product. Uber also paired 30 AI engineers with individual teams for two-week stints to automate pieces of their work, and says it will track which workflows employees build before deciding where to deploy AI next. (TechCrunch, The Next Web, PYMNTS)

• Apple is adding an AI assistant to Pages, Keynote, and Numbers, its free word processing, presentation, and spreadsheet apps, with a beta announced October 27 and arriving in November. The assistant drafts and restructures text in Pages, designs and animates slides in Keynote, and builds tables and recommends charts in Numbers, running on Apple's own models plus OpenAI's. It requires the $12.99-a-month Apple Creator Studio subscription and a device on iOS 27, iPadOS 27, or macOS 27, and works in U.S. English only. On Macs, outside AI agents can also read, edit, and automate work inside all three apps. (Apple, MacRumors, 9to5Mac)

• 1Password launched a way for AI agents to sign into websites without ever seeing your password on October 22. When an agent reaches a login page, it requests the saved login, you approve the request on your own device, and 1Password fills it in directly, so the agent never handles the password or the one-time code. It comes at no extra cost on Individual and Family plans, works today with Meta's Muse and Grok Bot, and lists Claude Duet, ChatGPT Work, and Perplexity as coming soon. 1Password has not said whether business plans are included. (TechCrunch, SiliconANGLE, 1Password)

• In a study co-authored by a Stanford researcher, paralegals used their firm's AI tool 58% more, and experimented with it 70% more, when their managers presented it as a way to handle routine tasks and free up time for more interesting work. The comparison was a nearly identical division whose manager pitched the same tool as a way to draft documents faster; the higher-use managers also added formal training, weekly knowledge-sharing lunches, and set-aside time to explore. (Stanford HAI, Oct. 7, 2026)

• Among firms in the Cleveland Fed's region that use AI, 82% say it has helped them improve efficiency and productivity, and 66% say it has enhanced decision-making. Eighty-one percent of 193 responding firms in September had used AI in the past six months, up from 74% in March. (Cleveland Fed, Oct. 14, 2026)

• Smaller companies keep AI work moving more easily: in a Salesforce survey of 250 U.S. executives, 37% at businesses with fewer than 250 employees say work stalls weekly because it is stuck in one person’s AI tool, against 73% at enterprises with 2,500 or more. Across the full sample, 72% say their ideal is AI that works across the team with shared context. (Salesforce, Oct. 27, 2026)

Plenty of what you need help reading lives on a screen with no clean export: the dashboard in the CRM, the aging report in the accounting system, a vendor’s pricing page, the whiteboard from Monday’s planning meeting. The usual workaround is retyping the numbers into the chat or describing the layout in words, and both lose detail along the way. Claude, ChatGPT, and Gemini all read screenshots and phone photos directly, and one extra step makes the answer something you can rely on: have it read the image back to you before it reasons about anything.

1. Capture just the part that matters. On Windows, press Windows+Shift+S and drag around the table or chart. On a Mac, press Command+Shift+4. For paper or a whiteboard, take a phone photo straight on, in good light. Paste the image into the chat with Ctrl+V (Command+V on a Mac), or tap the + or paperclip in the mobile apps. A tight crop around one table reads more accurately than a full screen.

2. Have it read before it reasons. With the image pasted in, run this: “Before you answer anything, transcribe what you can read in this image: every number, label, column heading, and date, laid out the way it appears. If you cannot read something with certainty, write UNCLEAR in its place and keep going. Hold off on any analysis or summary until I confirm the transcription. Return as: a table matching the layout of the image, followed by a list of everything marked UNCLEAR.” Then hold the readback next to your screen for thirty seconds. A 3 misread as an 8 shows up here, long before it shows up in a conclusion.

3. Then ask the real question. Once the readback matches, follow with: “Using only the figures you transcribed, [tell me which accounts are past 60 days and by how much / explain what drove the March drop / compare these prices line by line with ours: list].” Every number in the answer now traces back to a table you have already checked. This works the same way in Claude, ChatGPT, and Gemini, free versions included, with nothing to enable.

Good first candidates: a report from software with no export button, a contract page with handwritten edits in the margin, the whiteboard photo nobody ever typed up. Several UNCLEAR rows usually means a tighter crop or a second photo will clear them, and screenshots follow the same rules as anything else you paste in, so crop out anything you wouldn’t type into the chat.

The AI tool I've gotten the most out of lately lives in my browser. An in-browser assistant can see the page I'm on and work inside it: read it, click through it, fill things in, and report back on what it found. I point it at the work right where the work already sits, and the old loop of copying from one tab, pasting into a chat, and carrying the answer back mostly goes away.

Webinar follow-up is the clearest example. After each session there’s a round of tedious work in our CRM to get attendees sorted and set up for the right follow-up. None of it is hard, but it runs across screen after screen of fields, menus, and confirmations, and one wrong click can throw the whole thing off. Now I open the CRM, hand the job to Claude in Chrome, and watch it work through those screens the way a careful person would, reading each page before it acts and checking with me before it submits anything. That’s the kind of task that gets rushed on a busy afternoon, and now it gets done the same careful way every time.

The power is that the assistant works inside the tools you already use, on the page in front of you, with no export, no integration project, and nothing for IT to build. If you've only ever used AI in a chat window, pick the most repetitive thing you do in a browser tab and hand it to the assistant while you watch. You'll see quickly where it earns its keep.

Uber gave an AI agent to all 30,000 of its employees, Apple is building an assistant into Pages, Keynote, and Numbers, and 1Password now lets agents sign in for you without ever seeing the password. AI is showing up inside the software companies already use. Whether it pays off comes down to the setup around it: what each tool can reach, what it’s for, and whether your team knows how to put it to work.

Kiingo AI helps companies build that setup and become AI-first, from training teams to use AI in their daily work to getting data and processes ready. We start with what your business needs most and build from there.

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