Welcome to AI Tool Report!

Wednesday’s top story: Google has updated its AI usage policy to allow customers to use its AI in high-stakes environments, such as healthcare, if there is human supervision.

🕺 To secure B2B deals 3X faster, we recommend you try Substrata: It has specialized AI models to navigate the "social dance" between sellers and prospects.

🌤️ This Morning on AI Tool Report

1. 📢 Google relaxes AI usage rules

2. 🕺 How to Secure B2B Deals 3X Faster with Substrata

3. 🥊 Grammarly takes on ChatGPT?

4. 💼 How to become an AI Consultant with Innovating with AI

5. 🧊 How to nurture cold leads using ChatGPT

6. ⛏️ OpenAI launches new and improved o1

Read Time: 5 minutes

FACT OF THE DAY

🤔 During a game week, the NFL uses AI to capture and process 6.8M video frames and 100M player locations and positions on the field, and during practice, it processes 15,000 miles of player data. This translates to more than 500M data points which it uses to establish which players are at the highest risk of injury and develop personalized injury prevention courses for them.

STOCK MARKETS

⏸️ The market paused for a breath, on Tuesday, after a wild start to the week. Tesla was the exception to this rule, as it kept on rising, adding another 3.64%. Traders are very interested in the stock with the trading volume exceeding 129M shares (for context, the 30 day average is 101M). Learn more.

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POLICY

📢 Google relaxes AI usage rules

Our Report: Google has relaxed its ‘Generative AI Prohibited Use’ policy—which previously banned customers from using its AI tools to make high-risk automated decisions—to clarify that customers can now use its AI tools to make “automated decisions” in “high-risk” domains, as long as there is some sort of “human intervention” during the process.

🔑 Key Points:

• With human supervision, customers can use Google’s AI to make decisions in areas that could impact someone's rights or well-being—such as healthcare or employment—like screening job candidates, for example.

• Requiring human oversight will help mitigate bias—AI is prone to picking up historical biases in data—and give humans accountability, so AI isn’t relied upon, as the sole decision-maker.

• Google’s approach is more flexible than its rivals, OpenAI (which prohibits the use of its AI in all high-risk areas), and Anthropic (which, allows the use of its AI, but it has to be disclosed, and under professional supervision).

🤔 Why you should care: For a long time, regulators have expressed concerns about relying on AI systems—which are notoriously prone to giving biased and discriminatory outcomes—to make decisions that affect individuals' rights and well-being, and as a result, in the EU, AI systems in high-stakes areas must be registered on a database, be supervised by humans, and pass strict quality and risk tests, and in the US, states like Colorado and New York have introduced laws that require AI developers to disclose information about “high-risk” AI systems.

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TOGETHER WITH SUBSTRATA

How to Use Social Signal Intelligence to Secure B2B Deals 3X Faster

Complex deals are often affected by office politics, hierarchies, egos, emotions, attitudes, and power dynamics. Using Substrata can significantly increase the chances of securing B2B deals across many industries and categories.

Substrata has developed dozens of specialized AI models to help dealmakers navigate the subtle "social dance" between sellers and prospects:

• Analyze any prospect's LinkedIn profile to extract their natural personality structure and tendencies

• Monitor your prospects' fluctuating levels of interest (Signals)

• Analyze any thread or message to determine real sentiment and relative balance of power

• Simulate message drafts before sending them to eliminate potential risks or issues

• Optimize responses, follow-ups, and more

• Track your and your team's ongoing performance

Substrata uses Social Signal Processing (SSP), which is a specialized AI domain that deals with the detection, analysis, and synthesis of behavioral data from digitally mediated human-human interactions, such as B2B dealmaking, sales, and HR interviews. It encompasses both verbal and nonverbal data.

1. Surfshark keeps your internet and devices protected from online threats for 2.49$/month (+ 4 extra months) ⭐⭐⭐⭐⭐ / 5 (Trustpilot)

2. Meco is a distraction-free space for reading and discovering newsletters, separate from the inbox

3. LinkedBase is an AI-powered LinkedIn lead generation tool

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ACQUISITIONS

🥊 Grammarly takes on ChatGPT? 

Our Report: AI-powered writing software start-up, Grammarly, has acquired productivity start-up, Coda, and as part of the acquisition, also acquired Coda’s co-founder and CEO, Shishir Mehrotra (YouTube’s former CPO and CTO), who will become Grammarly’s new CEO, with current CEO, Rahul Roy-Chowdhury, stepping into more of an advisory role, to support Mehrotra.

🔑 Key Points:

• Grammarly will integrate Coda’s AI tools into its platform, giving its AI writing assistant productivity tools and giving customers access to new features to help them work more efficiently.

• Mehrotra outlined plans to make the AI writing assistant “even smarter and more helpful” with “permission-aware connections” to other systems, like emails, Google Docs, CRM platforms, and project trackers.

• His long-term plan is to weave Coda and Grammarly together and build an AI productivity platform where customers can access company knowledge, AI chat features, a full productivity suite, and agents.

🤔 Why you should care: Grammarly has built AI agents that can write, detect plagiarism, and proofread—which are used by over 40M people, daily—and Coda has built a productivity suite that includes tools that can unlock and centralize company knowledge across 800+ enterprise applications—which is used by over 50,000 enterprise teams, including the New York Times—so combined, the two companies should be well-positioned to compete with models like ChatGPT, Claude, and Copilot, who also provide AI writing and productivity features.

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TOGETHER WITH INNOVATING WITH AI

💼 Want to become an AI Consultant?

The AI consulting market is about to grow by a factor of 8X – from $6.9B to $54.7B in 2032.

But how does an AI enthusiast become an AI consultant?

How well you answer that question makes the difference between just “having AI ideas” and being handsomely compensated for your contribution to an organization’s AI transformation.

Thankfully, you don’t have to go it alone – our friends at Innovating with AI have welcomed 300 new students into The AI Consultancy Project, their new program that trains you to build a business as an AI consultant.

Some of the highlights current students are excited about:

• The tools and frameworks to find clients and deliver top-notch services

• A 6-month plan to build a 6-figure AI consulting business

• Students getting their first AI client in as little as 3 days

And as a reader of AI Tool Report, you get early access to the next enrollment cycle.

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Wednesday’s Prompt: How to nurture cold leads using ChatGPT

Type this prompt into ChatGPT:

Results: After typing this prompt, you will get an automated email sequence that will help you nurture cold leads.

P.S. Use the Prompt Engineer GPT by AI Tool report to 10x your prompts.

How to Create Professional Content Using AI

• If you have little time or writing expertise, AI tools, like the ones below, will streamline the production of high-quality, engaging content. 

• Writesonic creates outlines and full drafts using real-time data and research to make sure content is accurate and up-to-date.

• ChatGPT generates headlines, well-structured outlines, and full drafts—on any topic—and can also be a brainstorming tool for new content ideas.

• ProWritingAid is a proofreading tool that will improve grammar, tone, and readability to make sure your content is professional and read-friendly.

Subscribe to The AI Report for more tools, premium insights, and tactics!

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DEVELOPER TOOLS

⛏️ OpenAI launches new and improved o1

• For day 9 of OpenAI’s ‘12 Days of OpenAI’, OpenAI announced they were launching several upgrades that will "improve performance, flexibility, and cost-efficiency" for developers using its tech. 

• Its self-fact-checking/reasoning model—o1—will replace the current o1-preview, and "handle complex multi-step tasks,” connect to external datasets, and communicate with third-party systems, via API.

• o1 is also more customizable than the preview version, as it has features that allow developers to specify tone and style, and also how long the model should “think” before it responds to a query.

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Until next time, Martin & Liam.

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