#40-AIronic: , Kroolo team Podcast Interview, Sequoia Article , WP on AI Super Users, Trends Report, Cove.ai

My friends!

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1. Podcast In-Depth Notes: Key takeaways and actionable insights from each episode.

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GTM AI PODCAST AND NEWSLETTER

The newsletter and GTM AI Podcast & Newsletter are sponsored by GTM AI Academy with additions article submissions, and my cohost of Jonathan Moss of AI Powered GTM.

Business Impact> Learning Tools

We have the SLACK COMMUNITY around AI , come hang with your fellow GTM professionals, get insights, and content free to help in your teams and roles.

Now with all that being said, lets move forward with todays newsletter which is:

We have #40 with the Kroolo team Shashank Singh Katie Wade and Steven MacNeil ... taking productivity and project management to the next level with AI

To access the rest of the articles and reviews, subscribe for free to the newsletter

Sequoia article on Reasoning and Agentric AI

The Washington Post on AI Power Super Users

AI 2024 Trends Report

GTM AI Tool of the week: Cove

Some AI posts from this last week in case you missed it:

AI 2025 Strategy Planning Webinar

What makes AI demos stand out

Prompt for Sales Forecasting

Winning by Design Cyber-Physical prediction

Coach speaking at AI Forecast '25

Spiky.AI New release of in call coaching

Momentum.io New Release of Autopilot Suite for capturing historical data

Now for the podcast:

You can go to Youtube, Apple, Spotify as well as a whole other host of locations to hear the podcast or see the video interview.

Kroolo The Only Productivity Tool You Will Ever Need:

I have gotten to know the Kroolo team fairly well over this last month or so and been impressed by how they have thought through and executed on their tech.

FYI, I am not an advisor, nor am paid for this post, I just think the tech is amazing.

As someone who's constantly testing new tech (and I want to be clear - this isn't a paid promotion!), I was genuinely impressed by what Shashank Singh (Founder/CEO), Katie Wade (Head of Product), and my "bald brother" Steven MacNeil (Founding AE) have built over the last year.

What sets them apart? They've created an AI-native platform that's actually language model agnostic - meaning if OpenAI goes down, they can switch to Google's LLMs or others seamlessly OR they leverage the best LLM for the task required. It's like having multiple AI engines under one hood, all working together to supercharge your productivity.

Key Highlight Moments:

? Discovery that Kroolo reduces team meetings by 60% through intelligent AI agents

? Discussion of how true AI-native architecture differs from "bolt-on" AI solutions

? Revelation about their platform-agnostic approach to LLMs (OpenAI, Google, etc.)

? Insight into how they're tackling AI bias in productivity tools

? Preview of their upcoming agent-focused framework and rebranding

? Real-world impact on reducing implementation time from days to hours

Notable Quotes:

Katie Wade:

"Almost think we're at a space now where if it's not as easy as pulling your iPhone out of an iPhone box, turning it on and just intuitively understanding how to work it, people just don't want to do it anymore."

"It's the collaboration because you probably would have agonized over three sentences. And if you run it as AI, here's the three different ways you could say it."

Shashank Singh:

"We will reduce the number of meetings by 60 percent... the platform is intelligent enough where agents could be trained and deployed. And whatever you normally ask these questions in traditional stand ups and meetings, those could be answered by pre-trained, co-piloted agents."

"If somebody is not betting on agentic, I think making it some serious problem for looking through. The future is agentic."

Steve McNeil:

"You're only going to establish the right ROI model if you can actually utilize the technology effectively and quickly... that's the one thing that really resonates with me."

I thoroughly enjoyed talking to the team and think you will enjoy it.

GTM AI TOOL OF THE WEEK: Cove

Cove.ai or their Chrome extension is one I am fascinated by. Lets dive in:

Cove AI is a sophisticated AI-enhanced workspace designed to transform the way professionals conduct research, organize information, and collaborate. By combining top AI models and offering seamless integration with existing workflows, Cove AI empowers users to dive deep into research, manage content across websites, and create an interactive space for brainstorming and project development. With Cove, professionals can streamline their tasks and bring structure to complex research projects, all within an adaptable, infinite canvas.

Why GTM Professionals Should Care

For GTM professionals, Cove AI offers a powerful solution to tackle in-depth market research, competitive analysis, and customer insights. The platform allows users to collect, organize, and compare information in real-time, providing a centralized, interactive hub for managing all aspects of GTM strategies. With Cove’s ability to integrate with web-based tools, GTM teams can work efficiently, blending AI-driven insights directly into their workflows.

Here is a screenshot of my current workspace, what is cool is you can load in several types of content and get outputs of various kinds, really cool visually.

Conceptual Overview of the Workspace

1. Centralized Knowledge Hub:

? The workspace consolidates key documents, resources, and summaries on complex topics—such as AI predictions and trends, research papers, and organizational overviews. This centralization allows users to keep all relevant information in one place, facilitating easy access to critical insights without the need to switch between multiple applications or sources.

2. Enhanced Research and Summarization Capabilities:

? Advanced AI-powered tools are likely in use here, enabling users to ask complex questions, summarize extensive documents, and get clear, concise answers from research materials. The workspace leverages AI to extract the most relevant insights from long-form content, distilling information into key points or actionable summaries. This capability would be especially useful for quick knowledge assimilation, helping users understand core themes and insights without needing to dive into every detail manually.

3. Visual Organization and Interactive Layout:

? Each document or research item is presented as a visual “card” within an infinite canvas, allowing users to structure their thoughts visually. The layout is modular and expandable, suggesting a flexible space where users can group related content, annotate sections, and create thematic clusters. This type of organization fosters a more intuitive approach to information management, supporting users who think visually and helping teams to arrange their knowledge in ways that mirror their mental models or workflow processes.

4. Real-Time Collaboration and Editable Content:

? The platform likely includes collaborative editing features, allowing team members to add, refine, or update content in real-time. This functionality would support brainstorming, knowledge-sharing, and iterative strategy development. Editable summaries or notes mean that as new information becomes available, teams can continuously refine and evolve their understanding without losing historical context or insights.

5. Cross-Site Data Collection and Comparison:

? There’s an apparent ability to collect, clip, and compare information from multiple sources across the web, creating a seamless flow between external research and internal knowledge management. Users can gather insights from articles, LinkedIn profiles, or PDFs and organize them into structured tables or sections within the workspace. This feature would help teams build a comprehensive view of markets, competitors, or specific topics, with AI helping to standardize and categorize this information efficiently.

6. Proactive AI-Driven Suggestions:

? The workspace is designed to be more than a passive tool; it likely uses AI to suggest next steps, generate new ideas, or prompt deeper exploration based on the context of the current research. This type of proactive assistance encourages users to expand their thinking, explore related topics, and potentially discover insights they hadn’t initially considered. By anticipating user needs, the AI-driven suggestions turn the workspace into a dynamic research partner, guiding users along productive research paths.

7. Integration with Existing Workflows and Tools:

? With seamless compatibility across tools and platforms (e.g., CRM, email, project management), the workspace integrates with existing workflows without requiring additional setup. This integration allows users to directly apply research insights and summaries into operational tools, making it easier to transfer knowledge and action items from research to practical application within business processes.

Conceptual Impacts on Team Dynamics and Workflow

1. Streamlined Knowledge Sharing:

? By bringing all research, insights, and summaries into one shared workspace, teams can easily access and distribute knowledge across departments. This not only speeds up the research phase of any project but also helps align various team members around common insights and objectives.

2. Enhanced Decision-Making and Strategic Planning:

? With instant access to summarized research and AI-generated insights, teams can make data-driven decisions more quickly and confidently. The consolidated view of relevant topics enables leaders to assess risks, identify trends, and strategize based on real-time information, which is particularly valuable in fast-moving industries like tech and AI.

3. Improved Collaboration and Cross-Departmental Alignment:

? The interactive and editable nature of the workspace supports real-time collaboration, enabling different teams (e.g., sales, marketing, enablement) to contribute to and benefit from a shared knowledge base. This alignment helps break down silos, fostering a unified approach to market strategy, customer insights, and overall business goals.

4. Productivity Boost Through Task Automation and AI Suggestions:

? The AI’s ability to summarize, organize, and suggest next steps reduces the manual burden of data processing and interpretation, allowing team members to focus on higher-level tasks and strategy. Automated suggestions and organized summaries mean teams can move through the research phase faster, spend more time on critical analysis, and ensure that nothing important is overlooked.

5. Long-Term Knowledge Retention and Institutional Memory:

? The workspace acts as a living repository for organizational knowledge, capturing past research, insights, and strategies in a format that’s easy to revisit and build upon. This structure supports continuity, even when teams or projects change, creating an invaluable asset for long-term knowledge retention.

Conclusion

Conceptually, the workspace represents a powerful fusion of AI-driven research, collaborative knowledge management, and real-time task optimization. It transforms a traditional research process into an agile, dynamic, and collaborative experience, allowing teams to adapt quickly to new insights, organize their information visually, and drive strategic decision-making with confidence. By integrating advanced AI capabilities with flexible organization and collaboration tools, this workspace empowers GTM professionals and other business units to work smarter, make faster decisions, and innovate with precision.

Practical Applications of Cove AI for GTM Professionals

1. Instant Web Summarization and Analysis: Cove AI allows GTM teams to summarize and analyze web pages, articles, and PDFs in seconds. This can be especially valuable for tracking industry trends, understanding competitors, and gathering data for strategic decision-making. The AI can handle complex queries and provide concise answers to help users keep up with critical information.

2. Cross-Site Content Collection and Comparison: Cove AI enables professionals to collect and compare information across various sites seamlessly. GTM teams can compile LinkedIn profiles, competitor data, or customer insights into organized tables or notes, making it easy to identify patterns and opportunities without jumping between browser tabs.

3. Flexible Editing and Interactive Collaboration: Cove allows users to collaboratively edit content, making it ideal for brainstorming sessions, strategy planning, and content development. This functionality encourages teams to build on each other’s ideas in real-time, all while Cove’s AI assists with precise, context-sensitive edits.

4. Integrated Research Tool: Cove is designed to work alongside existing tools like CRM, email, and docs, with no special integration setup. This versatility means that GTM teams can conduct research and apply insights directly within their preferred platforms, saving time and maintaining consistency across tasks.

5. AI-Powered Suggestions and Idea Generation: Cove AI doesn’t just help organize information; it also anticipates next steps, offering suggestions and insights that can lead users to new research directions or ideas they might not have considered otherwise. This proactive assistance helps GTM professionals stay agile and informed.

6. Visual Organization and Collaboration Spaces: Cove’s canvas functionality allows users to expand into a visual workspace, arranging thoughts and notes in a more structured way. This feature is especially helpful for teams working on complex projects, providing a shared space to build, refine, and review GTM strategies collaboratively.

How Different Teams Can Use Cove AI

1. Sales

? Use Case: Sales teams can use Cove to research prospects, collecting LinkedIn profiles and market insights in one place. The AI’s summarization capabilities allow them to capture key details without spending hours on manual research.

? In Depth: Cove’s ability to aggregate prospect data and provide next-step suggestions helps sales teams develop personalized outreach strategies, making sales interactions more informed and effective.

2. Customer Success

? Use Case: Customer success teams can leverage Cove to manage customer information and feedback, creating a single repository for client insights and follow-up strategies.

? In Depth: Cove allows these teams to store and organize key customer details, track recent engagements, and anticipate potential issues or upsell opportunities, ensuring proactive and consistent customer support.

3. Marketing

? Use Case: Marketing teams can use Cove to research competitors, gather insights from across the web, and create campaign plans collaboratively.

? In Depth: Cove’s cross-site comparison tool and AI-powered content suggestions enable marketing teams to analyze competitor strategies and develop data-driven campaigns, aligning content with customer needs and trends.

4. Enablement

? Use Case: Enablement teams can build structured training materials, organize market insights, and consolidate best practices within Cove’s infinite workspace.

? In Depth: Cove’s visual organization capabilities allow enablement professionals to create comprehensive training resources, pulling together knowledge from across different teams and centralizing it for easy access and dissemination.

5. Business Development

? Use Case: Business Development teams can research partnerships, assess market trends, and create strategic plans using Cove’s AI capabilities.

? In Depth: Cove’s research and organization tools enable BD teams to compile insights on potential partners and market opportunities, helping them make data-backed decisions that drive growth.

6. HR

? Use Case: HR teams can use Cove to organize candidate profiles, gather insights on hiring trends, and create collaborative onboarding materials.

? In Depth: Cove provides HR teams with a structured space to manage hiring and onboarding processes, helping them efficiently organize candidate information and develop tailored onboarding plans for new hires.

Pros and Cons of Cove AI

Pros

? Advanced Research Capabilities: Cove’s combination of powerful AI models (ChatGPT, Claude, Meta, and Perplexity) provides a rich, versatile research tool that can answer questions, summarize information, and offer insights.

? Interactive, Collaborative Editing: Cove’s content is editable by both users and the AI, creating an interactive workspace where ideas can evolve dynamically.

? Seamless Integration with Existing Tools: Cove functions smoothly alongside other web tools and platforms, making it adaptable to existing workflows without requiring special integration.

Cons

? Initial Setup for Customization: Getting the most out of Cove may require some initial customization and setup, which can be a time investment for larger teams.

? Learning Curve for Advanced Features: Users may need to familiarize themselves with Cove’s more complex features to fully utilize its capabilities, especially in cross-team workflows.

Conclusion

Cove AI is a dynamic, AI-powered workspace designed to transform the way GTM professionals conduct research, collaborate, and strategize. Its ability to interact with web content, suggest ideas, and organize information visually makes it a valuable tool for professionals who need a comprehensive, flexible platform to drive their goals. By blending powerful AI models, seamless web integration, and collaborative editing capabilities, Cove AI empowers teams across sales, marketing, customer success, and more to work smarter, faster, and more creatively.