Avsnitt
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I've pulled together some really simple ways to make AI your best friend - or at least, frenemy - during the 9 to 5.
This episode is dedicated to business leaders and everyone doing the real work.
It's time to embrace AI and make it work for you. So here are some brilliant ways, tried and tested, to grow yourself, and your business, using AI...
Shownotes at: https://www.wordandmouth.com/how-to-work-with-ai Want to be on the show? Drop me a line at [email protected] -
What just happened?
January 2025: a month of unprecedented change in generative AI.
The open-source community is shaking up the industry, challenging the dominance of tech giants.
This episode of AI Today dives into the key developments, from powerful AI assistants like Convergence's Proxy and Moonshot's Kimi3, to revolutionary image and video generation models like DeepSeek's Janus-Pro and Pika 2.15.
Discover how these innovations can automate tasks, analyse data, and create content, offering businesses new opportunities.
This is a must-listen for every business leader aiming to leverage AI for a competitive edge, and stay ahead of the curve in this rapidly evolving landscape.
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Saknas det avsnitt?
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This is the most personal episode I have ever recorded.
It's my near half-century journey to building an app. And how AI made it possible.
I'm a pre-beginner coder.
Yet eventually - and I mean, eventually, I somehow composed a working prototype of an application.
And I hope that I might inspire someone to give AI coding a shot. And learn the basics of coding - to get the most from this new, and hugely exciting, way to make things we love.
AI tools and models I've used for my working prototype:
Google's Gemini 1.5 Pro Various AI coding extensions for VS Code (Cline, Roo Code, Aider, and Continue) GitHub Copilot Pro using Anthropic's legendary Sonnet 3.5 model Perplexity Pro (with OpenAI o1) for research Deep Seek R1 (try it free) for mindblowing progress Lovable for visual inspiration based on my initial PRD.I almost gave up. Many times. I was literally and successfully prompting AI code editors to death.
But I don't enjoy giving up.
Find out what turned everything around.
And why you, too, should stay the course...
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Warning: After listening to this podcast, you won't be able to sit still.
The possibilities revealed by AI will have you leaping into action, driving innovation, and revolutionising your business.
Are you ready to unlock the secrets to unprecedented business growth?
Get ready to discover how AI can transform your organisation, skyrocket your efficiency, and catapult you to new heights of success.
Welcome to another crazy episode in the life of AI Today!
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If you're familiar with the Eisenhower matrix you'll be familiar with businesses and customer research - they simply don't know what they don't know! But thanks to two crucial AI research studies, we're learning things about people that can help us all understand ourselves better.
For more about AI Today, or to guest on the show, email [email protected]
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The past few weeks in AI have shattered my brain into a billion fragments of wonder. We've even found a new way to do AI, beyond transformers - that could change even what's been the most changeful week in the history of modern artificial intelligence. But for now, since it's Christmas, let's switch the light on - not the bulb, but the lightness rather than all the stuff that's gonna melt our minds. I want our friends to share with you a glimpse into what I'm building next year.
Happy Christmas, everyone!
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You've heard the pandemonium all about Google launching its fastest and smartest frontier model yet. But what does it mean for your business? And what about Devin - the grown-up AI copilot for your engineering teams, which also launched this week to rapturous applause from anyone seeking speedier shipping and warp-speed progress through product roadmaps...
Your boy's joining our smart silicon sand as a third wheel on today's show. I hope you love the aesthetic...
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Finally - an overdue appearance from AI Today creator, Dave Thackeray!
What a year it's been. And it's just the beginning.
Join me taking a look at 2024 and the indisputable delights and miracles coming our way from January... -
The last barrier to enterprise adoption of AI was memory. Baking into every prompt what the algorithm needed to know, was enough to send business leaders scurrying for the Luddite hills. But now Google (with Gemini and DeepMind's Mustafa Suleyman) and Microsoft are promising AI with memory. This will change so much about how we use AI - and make things so much more effective, and efficient. Let's get stuck in!
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Understanding human behaviour is critical to business success.
Behavioural science informs every growth stage and product decision - yet so few businesses pay any attention to human behaviour and psychology.
This new development makes a hugely insightful and practical corpus of psychological and behavioural data useful for everyone.
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Tired of research and development (R&D) bottlenecks? Today's episode of AI Today explores how AI can supercharge product development by rapidly uncovering game-changing insights from mountains of data and even suggesting testable solutions, accelerating the journey from idea to market.
Discover how AI tools are democratising access to powerful insights, potentially levelling the playing field for smaller companies and fuelling a surge in innovation across all sectors.
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I've tested 20 AI coding editors. My tech skills are basic, at best. None turned my ideas into apps.
That's when I found Databutton.
And now I'm an app developer.
Listen in to find out how Databutton has given the world's 8 billion inventors a chance to bring their ideas to life...
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Here at AI Today, we know how to listen.
We spent hours analysing Lenny Rachitsky - host of Lenny's Podcast - interviewing pro prompt engineer Mike Taylor to bring you this deep dive into all the techniques, tools, and tactics to rock your business.
Enjoy this special edition of a very special show...
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Botto's 15,000 curators are celebrating a big win this week after six of their carefully-chosen, pixel-pushed masterpieces, sold for more than $350,000 at a Sotheby's auction in New York. It's a story that belongs in a museum. Just when we thought it was safe to come out after NFTs' baffling popularity flare-up of the very early 20s, we're here again. At least Beeple created his own art...
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Imagine if you had massive balls - crystal ones - to accurately forecast future business needs.
That's one of the thousands of ways autonomous agents - popularised in organisations of all sizes through Microsoft Copilot Studio - can build better businesses.
These agents can send reports to your senior leadership team identifying inefficiencies or opportunities across the organisation. Then the HR squad can decide whether to upskill colleagues or hire in new ones. All before shit hits the fan!
Autonomous agents will change everything, Taste the future on today's episode of AI Today!
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Retrieval augmented generation is how we used to chunk content in huge corpuses of data. Now there's a new sheriff in town - contextual retrieval preprocessing, or contextual RAG. No more relying on keywords; now we're talking hidden relationships between data, which means you can better respond to context inside queries.
This isn't just about finding information faster, it's about understanding the meaning behind it. Imagine your knowledge base becoming a mind-reader, anticipating needs and delivering precisely what's required, instantly.
We're talking about boosting agent productivity, empowering them to become knowledge ninjas, and transforming customer interactions into personalized experiences. Get ready to unlock growth by maximizing efficiency and creating a customer service dream team!
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Let's take a look at how the latest version of Copilot can change the game for your business.
Imagine a manufacturing company developing a new electric vehicle (EV) charging station. This complex process involves multiple steps and teams, using various applications and datasets.
Market research: Copilot can analyse large datasets and generate visualisations to quickly identify key insights by analysing market trends using Excel with Python to forecast demand, pricing, and competitor analysis.
Design and engineering: Copilot can summarise key design discussions from Teams meetings and highlight potential issues, saving engineers time, and facilitating quicker decision-making, by tracking changes and feedback, and summarising discussions, while engineers collaborate on designs using OneDrive and SharePoint.
Sourcing: Copilot compares supplier bids and contracts using OneDrive, ensuring compliance with internal policies. AI surfaces discrepancies and highlights areas needing attention, streamlining negotiation and contract finalisation.
Prototyping and testing: Share test results and feedback across teams using SharePoint and Teams. Copilot can automatically generate reports summarising test data from various sources and identify key performance indicators, helping engineers iterate designs efficiently.
Marketing and sales: Create compelling marketing materials and sales presentations using PowerPoint and Copilot. Copilot can generate presentation drafts based on product specifications, market research, and competitor analysis, ensuring marketing messages are impactful and consistent.
Another major development is Copilot Agents - completing seemingly disconnected tasks forming a single activity.
In the EV charging station development process, a critical step involves collecting and analysing customer feedback during the pilot testing phase.
Traditionally, this process is manual and time-consuming:
Technicians gather feedback from pilot customers through surveys, emails, or phone calls.
This data is collated and manually entered into spreadsheets or databases.
Data analysts then process this information to identify trends, issues, and areas for improvement.
These insights are then shared with engineering, design, and marketing teams.
Copilot Agents can radically transform this process by automating these tasks and unlocking unimaginable possibilities:
Automated feedback collection: A Copilot Agent could be deployed to automatically gather feedback from pilot customers through various channels like in-app surveys, SMS messages, or even voice assistants. This agent could be trained to understand natural language and extract key insights from customer responses.
Real-time data analysis: As the agent collects feedback, it can use Excel with Python to perform real-time data analysis, identifying recurring issues, sentiment trends, and feature requests. This eliminates the need for manual data entry and processing, providing instant insights.
Proactive issue resolution: The agent could be programmed to automatically generate support tickets for reported issues, routing them to the appropriate teams for resolution. It could even suggest solutions based on previous support interactions or knowledge articles, significantly speeding up the resolution process.
Personalised communication: The agent can also be used to communicate with customers proactively, acknowledging their feedback, providing updates on issue resolution, and even offering personalised tips or recommendations based on their usage patterns.
By automating tasks, connecting data, and surfacing insights, Copilot reduces time to market and enhances the final product.
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If there's anyone left in the world yet to be convinced AI is changing it, have a chat with Meng To (@mengto on X). He just wrapped up Dreamcut.ai - what he calls his perfect video editor - after spending three months writing 50,000 lines of code with Anthropic's Claude AI.
The application is incredible. As is Meng's generosity - he's giving away the codebase.
Enjoy this deep dive into the amazing story of Dreamcut.ai.
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Forget everything you thought you knew about AI assistants. We're not talking simple chatbots that can barely string a sentence together. Claude 3.5 Sonnet, the latest iteration of Anthropic's groundbreaking language model, can actually use computers like a human. It can see the screen, move the mouse, click, type, and even navigate complex software. Think about that for a second. An AI that can control your computer. That can access the vast world of information online, manipulate data, and even write and execute code. It's a power we've only dreamed of, and it's here now.
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Engineering teams are frazzled. And we've all been down the Cursor, Aider, Cline, Bolt, and Replit rabbit roles questing for AI coding nirvana. But there are more potholes in the process than a worn-out highway. Enter Solver - self-proclaimed level 4 FSD for coding. Let's take this one for a spin...
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