Deep Research with LLMs: How ChatGPT, Gemini & Perplexity Super-Charge Insight Gathering
In this Talking AI episode, co-founders Ray and Will Poynter break down the rise of
Deep Research—an AI workflow that combines live web search, long-context reasoning and
citation-linked summarisation.
What You'll Learn
What “Deep Research” Means
Why multiple vendors (ChatGPT, Gemini, Perplexity) use the same term
How it differs from standard chat prompts or Canvas sessions
Speed vs. Depth Trade-offs
178 web hits & 30 sources in < 10 min: when the wait is worth it
When iterative Canvas-style prompting is still faster
Source Quality & Hallucination Control
Forcing reputable domains, spotting blocked sites (e.g. BBC, pay-walled press)
Using the final summary first, then drilling into citations
Practical Use-Cases
Entering new verticals (e.g., canned-coffee market in Japan, TfL transport data)
Generating monthly polling digests, executive briefings, podcast scripts
Limitations & Work-arounds
Verbosity, missing premium sources, daily search caps on free tiers
Future outlook: personalised memory, task-based scheduled research, dashboard feeds
Key Takeaways
Deep Research = AI research assistant on steroids—ideal for zero-to-sixty topic ramp-ups.
Quality in, quality out—specify sources and always sanity-check citations.
Iterate smartly—use summaries to steer; don’t wade through 20 pages blind.
Free to start—Perplexity’s free tier offers one robust run per day; ChatGPT-4o currently
leads on depth and reasoning but costs more.
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14:20
Rethinking Vibe Coding: AI Pair Programming & the Future of Development
In this deep-dive episode of Talking AI, co-founders Ray and Will Poynter unpack the concept of Vibe Coding—a term coined by Andrej Karpathy to describe using AI to generate executable code. They separate hype from reality, explore real-world productivity studies, and forecast how AI will reshape both professional and hobbyist coding.
What You'll Learn
Defining Vibe Coding: Understand the broad definition of AI-generated code and why it's more than just hype.
Impact on Professional Developers:
Shift from boilerplate implementation to AI oversight, security, and system design
New skill sets for debugging AI-generated code versus human-written code
AI Pair Programming:
Why “AI Pair Programming” is a more positive framing than Vibe Coding
Best practices for collaborating with AI as a coding partner
Tools & Platforms:
Recommendations for beginners (Google Colab + ChatGPT/Gemini)
Enterprise-grade environments (Codex, Cursor, Windsurfer)
Prototyping vs. Production:
How AI accelerates prototyping
Why human review remains essential for production-quality code
Visual & UX Design with AI:
AI's growing competence in HTML/CSS layout and styling
Limitations in non-code visual design (e.g., PowerPoint)
Key Takeaways
AI isn't replacing all coders—it augments them.
Security, compliance, and originality become critical new frontiers for human engineers.
AI Pair Programming fosters a collaborative workflow: AI generates and engineers review, refine, and integrate.
Choose your tools wisely—start with Colab for learning; explore Codex or enterprise agents for dedicated development.
Whether you're a seasoned developer, an insights professional experimenting with Python/R, or simply curious about the future of software creation, this episode equips you with actionable insights and tool recommendations to ride the next wave of AI-powered coding.
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19:34
Behavioral Science Meets AI: Elina Halonen's Deep Dive
In-Depth Exploration of AI, Behavioral Science, and LLMs
In this compelling episode of Talking AI, host Ray Poynter sits down with Elina Halonen, a pioneering behavioral strategy consultant and founder of Prismatic Strategy. With almost 20 years of experience in consumer insights and over a decade specializing in behavioral science, Elina offers a unique lens on how human behavior intersects with artificial intelligence.
What You'll Discover:
Behavioral Strategy & AI: How decades of expertise in human behavior are applied to unlock the full potential of AI and large language models (LLMs).
LLMs & Cognitive Science: An exploration of how machine learning models mimic human thought processes, and the implications for AI adoption.
Ethics and Bias in AI: A deep dive into the ethical challenges, representation issues, and bias that influence AI’s role in society.
Cultural & Linguistic Influences: Insights into how language, cultural nuances, and communication shape AI behavior and trust.
Practical Applications: Real-world examples of using AI as a collaborative thinking partner to enhance productivity, creativity, and decision-making.
Join us for a thought-provoking discussion that bridges behavioral science with cutting-edge AI trends. Whether you're a tech enthusiast, a professional in digital transformation, or simply curious about the future of AI, this episode is packed with SEO-rich insights to keep you at the forefront of innovation.
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35:37
AI Assistants and Evolving Trends with Dr Paul Marsden
Join us on Talking AI as host Ray teams up with guest Paul Marsden to explore the rapidly evolving world of artificial intelligence and digital innovation. This episode is packed with insights on how AI and machine learning are transforming industries, enhancing business strategies, and driving global digital transformation.
In This Episode:
AI Evolution: Learn about the latest trends in AI and how they are reshaping industries.
Machine Learning & Data: Discover practical applications of machine learning and data-driven decision making.
Future Tech Insights: Gain expert predictions on emerging technologies and digital innovation.
Ethics & Regulation: Understand the ethical challenges and regulatory issues surrounding AI development.
Strategic Innovation: Explore actionable strategies for leveraging AI to gain a competitive edge.
Whether you're a tech enthusiast, business leader, or industry professional, this in-depth discussion provides valuable insights into the future of technology and innovation. Enhance your understanding of AI and prepare for the digital changes ahead.
About the Guest:
Dr Paul Marsden is a consumer psychologist known for his research on emerging technology and mental health. He featured in the award-winning film on teens and tech, I Am Gen Z, and currently researches how AI shapes wellbeing, creativity, and performance. Paul lectures in consumer psychology and positive psychology - the science of happiness - at UAL, and advises global brands through Brand Genetics on positive innovation, using insights from positive psychology to develop products and experiences that enhance wellbeing, performance and flourishing. He co-founded Brainjuicer (now System1 PLC), one of the first agencies to apply AI in market research, and is chartered by the British Psychological Society (BPS).
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19:49
Discussing where personas are going with Andrew Jeavons
In this episode of Talking AI, hosts Ray Poynter and Will Poynter from ResearchWiseAI sit down with Andrew Jeavons, co-founder of Signoi, to delve into the world of AI personas and how they’re reshaping market research. Discover why companies are using personas to bring segmentation data to life, the importance of privacy safeguards in synthetic research, and how AI can quickly (and cost-effectively) assist with concept testing—all without sacrificing data integrity.
Andrew also sheds light on quantitative semiotics, the interplay between AI and image analysis, and the ethical dilemmas posed by digital twins. You’ll hear about real-world use cases for persona-driven insights, the challenges of ensuring bias-free outputs, and a look at how RAG-based retrieval is transforming the way brands update their AI with new findings over time. If you’re curious about how generative AI, synthetic data, and personalized consumer simulations can drive innovation while respecting anonymity and data security, this is an episode you won’t want to miss.
Tune in to stay ahead of the curve in AI, personas, and the evolving landscape of consumer research. Be sure to check out our related episodes on RAG and synthetic data for even more insights into the future of artificial intelligence.
Will and Ray Poynter, the founders of ResearchWiseAI, discuss all things relating to Artificial Intelligence (AI) and market research. Our aim is help market research professionals keep up to date with the dizzying world of AI.
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