AI is transforming the B2B landscape by reducing production and evaluation costs, leading to price compression and emphasizing the importance of distribution and relationships over product features.
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Portfolio of Harsha Cheruku — Full Stack AI Product Manager
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Advancements in AI efficiency and speed lead to increased cognitive dependency and consumption, risking the quality of thought despite higher output levels.
Technological progress boosts productivity but fails to enhance overall economic wealth for most, leading to stagnation and inequality.
Effective management of probabilistic work requires a focus on decision quality, specialized hiring, and a culture that embraces uncertainty and psychological safety.
A strategic framework for setting AI confidence thresholds in project management, illustrated with case studies and a practical implementation checklist.
Understanding the three types of P work failures is crucial for placing human checkpoints to prevent cascading errors in AI-driven decision-making processes.
AI enhances productivity by automating deterministic tasks, but this shift increases cognitive load and risk through concentrated probabilistic decision-making, leading to burnout.
As AI automates deterministic tasks, the focus shifts to probabilistic work, highlighting the importance of human judgment and decision-making in navigating uncertainty.
AI products combine deterministic and probabilistic steps, and understanding their patterns is crucial for effective product management and design decisions.
A true AI agent is defined by its ability to autonomously pursue goals, make decisions, utilize tools, and adapt based on feedback, unlike mere scripts or prompts.
PM Multiverse simulates product management scenarios by showcasing diverse expert opinions, allowing users to engage actively and discover their own decision-making styles.
An AI-native PM goes beyond using AI tools, embodying a deep understanding of AI's potential and limitations to innovate product development.
A Full Stack PM builds a functional portfolio site in 48 hours, emphasizing simplicity, execution, and a reliable tech stack over complexity.
A Full Stack PM combines product strategy and technical skills to enhance collaboration and streamline product development, focusing on rapid iteration and clear outcomes.
The rise of the Full Stack PM emphasizes experimentation and rapid learning, transforming product management from coordination to proactive construction and innovation.
The D/P Framework reveals how our daily activities and workflows consist of deterministic and probabilistic steps, impacting decision-making in life and product management.
Building in public as a product manager enhances collaboration and accountability, leading to more robust outcomes through transparency and stakeholder engagement.