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Notes from a product design vibe coding hackathon

Intercom, Inc.

And, as it turned out, no amount of re-prompting could guide the LLM to fix this. We began to realise that unique interactions – like endless scrolling on a canvas – are not what an LLM “expects” a website to do. The technical behavior we desired was challenging to capture in a prompt, without getting help from an engineer.

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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

Requirements Engineering Following roadmap creation, requirements engineering emerges as a crucial activity where product strategy meets technical execution. This phase highlights the important distinction between product manager and product owner roles, particularly in Agile environments.

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🚀 The AI Product Manager: How Artificial Intelligence is Transforming the PM Role

The Basics of Product Management

Market Research: From Manual to Machine-Learned Market research has always been a cornerstone of product strategy. Predictive analytics : Platforms like Crayon and Similarweb use machine learning to forecast market trends and competitor moves. Data Fluency Understand model outputs, confidence intervals, and data quality.

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Transforming user experience in cars-as-a-service industry through Strategic AI/ML Integration — a…

UX Planet

As I delve deeper into understanding the capabilities and limitations of Artificial Intelligence, I see an opportunity for AI/ML to improve an existing flow in the Automotive industry. AI Vision : Intelligently match customers with their ideal car through a sophisticated, single-prompt recommendation engine.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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Strategies to mitigate AI security and compliance risks

Modus Create

Yet, PwC reports that 60% of organizations have experienced security incidents related to AI or machine learning. Keeping up with changing security threats The vast amounts of data required to train AI models create new attack surfaces for cybercriminals to exploit.

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7 Key Design Patterns for AI Interfaces

UX Planet

Artificial intelligence is not just a backend technology anymoreits now front and center in the user experience. As designers, were no longer just creating static interfaces; were shaping dynamic, adaptive systems that learn, respond, and even create alongside us. tutor, coach, assistant) - Transparent contextwindows 3.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.