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From Generative to Agentic AI: A Product Manager’s Guide to the Next Generation of AI

From passive tools to proactive collaborators, computers have evolved into agentic AI systems that act with autonomy and intent.
Generative AI creates original content based on learned patterns, while agentic AI acts autonomously and makes decisions to achieve goals.
Generative models like GPT-4 create diverse outputs across text, images, audio, and video, offering cross-domain versatility.
Agentic AI systems operate autonomously, adjust strategies in real time, and collaborate with humans to execute complex tasks.
Deploying generative AI for creativity and agentic AI for decision-making is crucial for maximizing efficiency and outcomes.
AI frameworks like LangChain, AutoGPT, and Azure AI Studio offer infrastructure for orchestrating complex agent behaviors.
Choosing the right AI approach based on specific needs is essential, using a framework that considers reasoning, tool integration, and memory.
Shifting organizational mindset towards AI-powered collaboration is crucial for success in the new era of AI integration into workflows.
AI collaboration requires addressing product and ethical challenges, embracing a mindset of amplifying human capabilities with AI support.
Thriving in the AI-powered future involves active engagement, creativity, ethical considerations, and shaping the evolution of AI technologies.

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Medium

130

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The Usability Trap (or: Why That Avocado Stick Shouldn’t Exist)

Usability in product development is often focused on making things easy to use, but it's essential to also consider usefulness.
Just because something is easy to use doesn't mean it's worth using, highlighting the importance of creating products with real value.
Perceived usefulness is more important than perceived ease of use in determining the success of a product, as demonstrated by the Technology Acceptance Model (TAM).
Instead of just focusing on prototypes to test usability, considering provotypes that question the necessity and real-world value of the product can lead to more meaningful design outcomes.

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Medium

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Google NotebookLM vs. Obsidian: Strategic Tools for Maximizing Knowledge Work Efficiency

This article compares Google NotebookLM and Obsidian as tools for maximizing knowledge work efficiency
Google NotebookLM is an AI-powered smart notebook that excels in providing fast access to insights from various documents like Google Docs and PDFs.
Obsidian is a markdown-based note-taking app focused on connecting information through backlinks and graph views, suitable for writers, researchers, and product strategists.
The article suggests a workflow layering approach using both NotebookLM and Obsidian to cater to quick insights and long-term strategy needs in professional environments.

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Medium

13h

127

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"Mastering LinkedIn for Career Success Without a Formal Degree"

Recruiters value skills like digital marketing, coding, and design over formal education on LinkedIn.
LinkedIn serves as a modern dynamic resume that showcases your professional brand effectively 24/7.
Building trust and influence on LinkedIn is possible without a formal degree through sharing value-based content consistently.
Networking on LinkedIn with professionals can lead to freelance opportunities, job offers, and partnerships for career growth.

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Medium

13h

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A win for you: The Developer Tax Saga Continues ‍⚖️

Apple's 27% revenue share and scary warning on external payment links have been impacted by a recent ruling.
Developers are encouraged to prototype a single-tap web checkout to benefit from the ruling and boost margins.
The ruling allows developers to communicate with users more freely and optimize in-app experiences and drip campaigns.
Even though Apple plans to appeal, product teams have an opportunity to rethink payment strategies in light of the changes.

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Medium

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A DevRel’s Perspective: Navigating Product Launches, Quality, and Market Velocity in the AI Era

DevRel plays a crucial role in navigating product launches, quality, and market velocity in the AI era, emphasizing the developer-to-developer connection.
Product launches involve rigorous checks for user safety, data privacy, and more, with a need to balance model quality and launch readiness.
Market velocity requires understanding customer needs and staying ahead of competitors to maintain user trust and market share.
Quality and security should not be compromised in the rush to launch, as good-quality products that are easy to understand are well-received by users.

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Medium

106

Hustler’s Guide to Working Backwards: Build and Interview Like an Amazonian.

Working Backwards approach involves starting with answering key questions through four pillars: PRs, FAQs, Tenets, and Metrics.
In interviews, respond like a PR to make people care about the product and speak about FAQs to anticipate questions and align with stakeholders.
Tenets act as guardrails defining product operations and scale. Use them to justify decisions and show credibility.
Define success metrics upfront to measure product success effectively. When discussing success measures, focus on numbers with reflection for a compelling response.

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Medium

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The Toolbox, the Square Peg, and the Next Chapter: A Product Leader’s Reflection at 47

The author reflects on their product leadership journey at the age of 47 and discusses the importance of having a diverse skill set and problem-solving abilities.
They emphasize the significance of being a builder and problem solver who thrives in ambiguity, collaborates with teams, and translates ideas into tangible products.
The author highlights their experience in full-stack development, automation, and people skills, underscoring the value of empathy, direct communication, and alignment within teams.
Ultimately, the author shares their eagerness to join a team that values outcome-driven builders and emphasizes the importance of continuous learning and adapting to keep their skills sharp and toolbox up-to-date.

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Medium

305

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Build a product with Gen AI as your partner (1-Customer problem)

The article series focuses on conducting customer research with Gen AI to identify and understand customer problems and needs.
In the first part, the target customer persona is outlined as technical project, program, and product managers in various industries, with a problem hypothesis related to professional training limitations.
The article suggests using AI tools like Chat GPT 4.0 to analyze the customer problem hypothesis and compare it with real human responses through user interviews and surveys.
Gemini and Chat GPT provided customer research questions that were used to gather information through Reddit polls and surveys.
Insights from customer responses indicated preferences for microlearning formats and motivations for completing professional training activities.
The article also mentions creating a minimum viable product (MVP) based on the research findings and using Gen AI to code the solution, followed by customer feedback sessions.
Comparing Gen AI versus human user research results showed alignment, with real customer feedback supporting the microlearning trend identified by the AI.
Future articles will explore market potential for a microlearning solution and address the pros and cons of using Gen AI for coding in product development.
Different research methods like 1-1 customer interviews and focus groups are mentioned as additional strategies for gathering insights.
The article concludes by highlighting the need for further exploration of AI topics to advance product management careers.

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Medium

327

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How to Be a Truly Data-Driven Tech Product Manager

Being truly data-driven as a tech product manager involves avoiding the trap of endless reporting and focusing on metrics that drive action and yield impact.
Key aspects of a data-driven product manager include clear problem framing, focused KPIs, and a mindset of continuous curiosity and questioning.
Building data fluency requires regular data review sessions, a culture of experimentation, and efficient tools for data analysis.
Success in data-driven decision-making involves close collaboration with data analysts and engineers, defining clear roles and goals, and providing context for data requests.
Balancing quantitative data with qualitative insights is crucial for understanding the 'why' behind metrics and making informed decisions.
Common pitfalls to avoid include chasing lagging indicators, inefficient data collection workflows, and analysis paralysis from too many scattered KPIs.
Advocating for accessible reporting tools, offering analytics workshops, and refining data processes are ways to promote data literacy within the organization.
Becoming a truly data-driven tech product manager is about building partnerships with data teams, leveraging both quantitative and qualitative data, and nurturing evidence-based thinking.
Start by implementing collaborative rituals, such as data syncs or 'data hours,' to harness collective insights and drive product development forward.
With practice and a strategic approach to data, product managers can utilize data as a guiding force for informed decision-making and continuous improvement.

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Medium

10h

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Turning Waste into Wealth: Iranian Firm Secures Exclusive IP for Virgin-Grade PET from Recycled…

Saman Sanat Mobtaker, an Iranian firm, has secured exclusive intellectual property rights for transforming low-value polyester fiber waste into high IV PET granules.
Through their proprietary Solid-State Polymerization (SSP) system, waste is converted into valuable PET granules suitable for various applications, reducing raw material costs and creating significant value.
The company has commissioned a successful pilot-scale SSP line in Qazvin Province, demonstrating both technical reliability and economic feasibility.
This breakthrough allows Saman Sanat Mobtaker to license and franchise their technology, offering a sustainable revenue stream through royalty-based intellectual property deployment.

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Medium

12h

Still Want to Be a Better Product Manager? Here’s the Stuff They Don’t Put in the Job Description

The best product managers manage expectations and communicate effectively.
Learn to prioritize effectively and differentiate between true priorities and executive anxieties.
A roadmap should reflect the actual strategy, stay focused, and tied to goals.
Become influential by bringing smart people together, unblocking them, and defending your time wisely.

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1 Like

Medium

12h

Transforming Debt Renegotiation: A Business Case

Generative AI agents are being implemented in debt renegotiation processes for agility, precision, and personalization.
Managing high volumes of data and cases while maintaining compliance with financial and regulatory rules results in time-consuming processes for collection analysts.
AI integration with a single data source allows real-time debt information consultation, easing the debt negotiation process.
Generative AI enhances efficiency in debt renegotiation by personalizing service at scale, improving customer trust, and allowing human teams to focus on strategic tasks.

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Medium

13h

112

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How Product Managers Can Ace Product Design Interviews at Meta and Google: A 12-Year PM’s Playbook

Product managers at Meta and Google need to excel in product design interviews by balancing user needs, business goals, and technical constraints.
A 12-year PM shares insights and a VISTA framework (Vision, Identify, Structure, Trade-offs, Articulate) to help candidates stand out in interviews.
The VISTA framework guides candidates on setting a vision, understanding users, proposing creative solutions, prioritizing trade-offs, and articulating success metrics.
Candidates are advised to tailor responses to the company's DNA, anticipate follow-up questions, leverage upcoming trends, and practice strategically to ace product design interviews.

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Medium

13h

119

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The only resume guide you’ll ever need.

Resumes are not just about content but also design, needing clear purpose and ambition to stand out.
One should focus on the why, who, and what next before detailing past experiences.
Utilize two columns for better organization, placing experience and education strategically at the top.
Give importance to visual hierarchy and clarity, using bold fonts for critical sections and providing enough whitespace.
Accent colors should be sparingly used to reflect personality without overwhelming the design.
Make important details like job titles and dates easily scannable by positioning them sensibly.
Each bullet point in resumes should offer unique value and avoid repetition for a stronger impact.
Focus on showcasing relevant skills and accomplishments concisely to capture attention within seconds.
Emphasize specific project details and experiences to demonstrate problem-solving skills and relevance.
Internships and side projects should be highlighted clearly without being misrepresented as full-fledged job experiences.

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