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Productivity News
Medium
1w
175
Productive Mindsets
- The ego can be one of the biggest barriers to personal improvement.
- Complacency and unwillingness to learn can hinder progress and growth.
- Balancing practice and research is essential for learning and continuous improvement.
- Understanding the world around you and trusting your capabilities can lead to peak performance.
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The Beautiful Mess
2w
62
Image Credit: The Beautiful Mess
TBM 338: 4 Core Product OS Design Competencies
- Having product operating system without key leader’s support won’t work and Product operating system means nothing without key leaders' full support and participation, Leadership and influence, Domain experience, Systems thinking, General operations and tooling are four core competencies that businesses possess while designing product OS.
- People with deep understanding of working on product teams will have evolved their intuition for how the work works, assumptions they made, and when and how collaboration needs to happen.
- According to his research, companies who get super nerdy about designing an operating system tend to have a strong history of leaders who care about this and they were more likely to write things down and solicit feedback.
- Leaders and influence, operations and tooling, systems thinking/design, and domain awareness are the necessary and diverse skills required for designing and evolving a product operating system.
- Combining these four skills, companies can explore potential traps and avoid poorly streamlined procedures which leads to the inefficient process and missed real needs.
- A good operations person doesn't love or hate tools, rather they focus on understanding stakeholder needs, stitching together systems, modelling data, and rolling out change.
- The process of product design needs stakeholder management, mapping workflows, stitching together systems, modelling data, and rolling out change, which are necessary to build an operation person's specialties.
- A product operating system must have strong domain awareness and leadership involvement, otherwise one will end up with a confident decision built upon shaky assumptions or optimized process no one adopts respectively.
- People with product designing experience realize when to automate and when to leave high touch, which makes them perfect candidates for product OS designing.
- Being skilled in storytelling, persuasion, and simplifying things are the requisites required to influence key leaders who might lack System thinking and domain knowledge.
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Dev
2w
343
Image Credit: Dev
Building a ChatGPT Lookalike with Streamlit and Anthropic API
- A developer shares the journey of building a ChatGPT-like conversational AI application using Streamlit and the Anthropic API.
- The goal was to create a lightweight, user-friendly chatbot capable of handling various queries.
- Streamlit was used for building the web app, while the Anthropic API powered natural language understanding and generation.
- The app allows users to input queries, which are processed by the Anthropic API to generate real-time responses in a natural conversation format.
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Medium
2w
98
Image Credit: Medium
The 5 Best AI Invoice Maker Tools for Small Businesses and Freelancers
- Zodot is a simple and free AI-powered invoice maker tool designed for freelancers.
- FreshBooks is a comprehensive platform that offers advanced features beyond invoicing, suitable for small business owners.
- QuickBooks Online is an AI-powered invoicing platform with advanced reporting capabilities, ideal for finance managers.
- Zoho Invoice provides customizable templates for a personalized and professional invoice design, perfect for creative professionals.
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Dev
2w
236
Image Credit: Dev
2025 Engineering Performance Benchmarks: Key Metrics to Track for Success
- In 2025, engineering success is about shipping the right code, efficiently and sustainably.
- Key benchmarks to track for success:
- - Cycle Time: Measure how fast work goes from 'in progress' to 'shipped'.
- - PR Review Time: Measure how long code reviews take.
- - Deployment Frequency: Measure how often you ship code.
- - MTTR: Measure how quickly you recover from incidents.
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ADPList’s Newsletter
2w
250
Image Credit: ADPList’s Newsletter
How to design for AI
- Designing for AI isn’t just about coding models or optimizing algorithms. This week, Ishaani Mittal unpacks her 7-step framework for designing AI experiences that balance technical rigor with human needs. The Core 7 Stages: Understand the capabilities of GenAI technology used; Understand the core need and final outcome that the user wants to achieve; Define the partnership between Humans and AI; Think in terms of user loops; Get ethical; Define the production requirements; Iterate on the design.
- Most use cases in the industry you will work on will not expose the general purpose model like GPT, Claude, Llama, etc., as is. Think at a high level about what modality of input/output the system can take/generate: text, image, audio, video.
- Understand the core need and final outcome user wants to achieve. Ask questions like, what is the job to be done? Does this particular use case have the potential to change the personas who currently work in this domain?
- To define the partnership between humans and AI, ask questions like, does the user generally enjoy doing this work and does technology better fit one of these partnerships?
- Think in terms of user loops, which are an interaction design paradigm that defines user actions in terms of inputs and outputs. The gap that bridges the inputs and outputs forms a single user loop.
- Get ethical. It's also important to take ethical considerations into account when designing AI experiences. Start by exploring what values and principles your organization believes in and then work to apply those values to the design of your product.
- Define the production requirements and ask yourself, what are the service-level definitions, how will the product scale, and what is the optimal infrastructure?
- Iteration is key. As you work through the steps of the design process, it’s important to take a step back and assess whether or not the product aligns with the initial goals and principles laid out during the product discovery phase.
- By following the 7-step framework to design for AI, you can balance technical rigor with human needs. It opens up a new world of possibilities and helps organizations tackle some of the most challenging problems.
- This is an impressive guide for designers to make AI products that don't just function—but inspire.
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Dev
2w
352
Image Credit: Dev
Essential Recycle Bin Management Tips for SharePoint Admins
- Managing the Recycle Bin in SharePoint is important for keeping the environment secure and efficient.
- Regularly clearing the Recycle Bin helps avoid storage problems and keeps SharePoint running smoothly.
- Emptying the Recycle Bin lowers the risk of data theft and ensures compliance with data retention rules.
- Automating Recycle Bin management tasks through PowerShell and Microsoft Graph can save time and effort.
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Naukri Blog
2w
296
Understanding Hiring Trends With Naukri JobSpeak Report- January 2025
- The Naukri JobSpeak report for January 2025 reveals positive hiring trends
- Key sectors driving growth include FMCG, Insurance, Pharma, and Media & Entertainment
- Aviation and Aerospace industry shows significant growth at 33% year-on-year
- Positive hiring trends observed in retail sector, unicorn companies, and fresh graduate positions
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Hackernoon
2w
12
Image Credit: Hackernoon
Trick Your Brain to Be Addicted to Coding: Here's How
- To trick your brain into being addicted to coding, you can utilize the power of habit formation.
- Create a habit loop with a cue, routine, and reward to establish a daily coding practice.
- Leverage gamification techniques to make coding engaging and addictive, such as breaking down tasks, providing immediate feedback, and introducing competition.
- Utilize cognitive behavioral techniques to change your attitude towards coding, including visualizations, positive affirmations, and self-reward.
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Medium
2w
184
Image Credit: Medium
Earn Over $300 a Day with This AI Voice Cloning Tool
- An innovative AI voice cloning app allows you to create personalized AI voice clones instantly.
- With a 10-second voice sample, the app's Vocal Identity Matrix generates multiple voiceovers, delivering tailor-made content.
- Users can earn over $300 per day by providing high-quality, emotional voiceovers for podcasts, videos, and other audio content.
- The app offers lifetime access at an affordable price, with a commercial license to use the voice clones for clients and keep all profits.
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Medium
2w
107
Image Credit: Medium
# **Transformative Travel: Journeys That Change You From Within**
- Transformative travel is intentional. It involves stepping out of comfort zone, immersing in new cultures, engaging in meaningful activities, and returning home changed.
- Transformative travel broadens perspective, builds empathy, instills reflection, and fosters appreciation.
- Experiences like volunteer work, spiritual journeys, and physical challenges contribute to personal growth and self-discovery.
- To plan a transformative journey: set goals, choose the right experience, embrace discomfort, process experiences, and integrate lessons into daily life.
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Medium
2w
288
Image Credit: Medium
Generative AI + RAG Could Boost Productivity and Political Polarization
- Retrieval Augmented Generation (RAG) is a concept that involves creating a specialized database for AI to generate output from a carefully curated dataset.
- RAG aims to reduce AI 'hallucinations' and increase the reliability of Generative AI.
- By utilizing RAG, companies can optimize productivity by building chatbots that respond based on specific data sources like HR documents or standard operating procedures.
- While RAG reduces 'hallucinations,' it may also contribute to polarization by providing personalized and potentially biased information to users.
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Pymnts
2w
374
Image Credit: Pymnts
OpenAI’s ‘Deep Research’ Aims to Impact Business Intelligence
- OpenAI has launched a research assistant called Deep Research that uses AI to search for detailed information from the web. Deep Research can generate a detailed report on a topic in the time usually taken by a research analyst. The system is also capable of completing complicated tasks swiftly and efficiently, enabling users to assess potential business partners, keep up with technologies and monitor market trends. The offering is currently only available to pro users but will become available to Plus and Team users and then Enterprise clients. Sergio Oliveira sees the time-saving and reduced manual research requirements as the most significant benefits.
- Deep Research frees up valuable time for users that need to offload and expedite complex, time-intensive web research with just one query. OpenAI Chief Research Officer Mark Chen remarked that Deep Research is a significant step closer to achieving artificial general intelligence. This is when machines and AI reaches human-level intelligence and can broadly apply that knowledge across various tasks. OpenAI claims the underlying AI model used to power Deep Research does not have any of the known biases commonly found in machine learning.
- Deep Research is expected to streamline the way businesses conduct research by enabling them to quickly scan the internet and provide deep insights within a matter of minutes. Peter Morales noted that the agentic workflow is valuable and a natural fit for industry verticals. For example, in pharmaceuticals, Deep Research can now automate tasks that would have been performed manually to generate a report on drug interactions and usage data. DesignRush's Sergio Oliveira imagines businesses using Deep Research for market research or to evaluate potential business partners, while lowering expenses by decreasing manual research requirements.
- The most significant benefit of Deep Research is its speed since it can generate detailed reports in just a matter of minutes. As an AI-powered market research assistant tool, the technology can troll the web, collect data and compile complete reports accurately. Colby Flood noted that the AI tool could eliminate the need for many expensive social listening tools, providing a complete out-of-the-box solution to businesses' market intelligence needs.
- However, the tool is not without its challenges. OpenAI admits that there are instances when the AI can hallucinate or make incorrect inferences, as Deep Research sometimes struggles to distinguish authoritative information from rumours. Deep Research may also struggle to convey uncertainty accurately, creating overconfidence about its findings. Additionally, the quality of information obtained by Deep Research may decline if websites decide to block the AI agent because they are not receiving compensation.
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Medium
2w
313
Image Credit: Medium
You’re GPTing Wrong: Collaborative Context Transforms AI
- Collaborative context transforms traditional AI into an informed partner.
- The article examines practical strategies for implementing effective AI interactions.
- Collaborative context refers to the information, guidance, and boundaries provided to AI.
- Explaining exactly what you need the AI to do will help it understand.
- Common pitfalls of poor context include assumptions, jargon, and relying too heavily on implicit info.
- Iterative context creation establishes good context over time.
- Examples of Single-Shot or Multi-Shot approaches can help establish context.
- Giving AI guardrails by defining off-limits areas keeps it on track.
- Learning from failures and asking AI for feedback can highlight improvements for future interactions.
- Using a chatbot for collaboration before moving to an AI tool can develop ideas for prompts to give to the AI tool.
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Siliconangle
2w
391
Image Credit: Siliconangle
Productivity startup Tana launches with $25M in funding
- Productivity software maker Tana Labs Inc. has launched with $25 million in funding. The company raised $14 million in a recent Series A round, following an initial seed funding of $11 million.
- Tana provides a productivity platform with a note-taking tool, called the daily page, that helps users organize information. The platform's Supertag feature enables users to tag sentences and organize them in a structured format.
- Tana's platform includes features such as transforming to-do items into timelines or virtual cards, and Tana Publish for longer-form content. The platform also utilizes artificial intelligence to autofill information and provide chatbot-like research and document summarization.
- Tana piloted its platform through a beta testing program with over 30,000 participants and has garnered interest from over 160,000 users, including employees at over 80% of the Fortune 500. The funding will be used to build new features and develop AI agents for automation.
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