Surya Prakash Jayanti

  Why Better AI Does Not Automatically Produce Better Outcomes An employee resolves customer problems faster. An engineer produces code in hours instead of days. A business owner prepares quotes without sacrificing an evening. A solo founder builds a product that once required a team. These are meaningful changes. But do they produce higher income, stronger businesses, better services, or more personal time? That is the gap worth examining. AI capability can advance rapidly while the outcomes people care about improve gradually, unevenly, or sometimes not at all. McKinsey’s August 2026 State of AI survey captures this disconnect: 80% of respondents report improved individual productivity, but only 37% attribute any enterprise-level earnings before interest and taxes benefit to AI. These are self-reported measures, rather than audited causal estimates. Nevertheless, they expose an important distinction: becoming more productive at a task and achieving a better business result are ...

This week's AI pulse: Agentic development continues its rapid acceleration, delivering potent new tools, managed services, and critical collaborative security initiatives that demand our attention before the weekend. 1. Know this ElevenLabs Introduces Managed Voice Agents, Streamlining Deployment with Key Tradeoffs Why it matters: ElevenLabs launched Eleven Realtime, offering two managed voice-agent models (Mini and Max) that seamlessly integrate speech recognition, reasoning, and turn-taking. While this significantly simplifies rapid deployment for conversational AI, developers should be aware that leveraging such a managed service means trading off granular control over individual agent components for speed and ease of integration into cloud-native platforms and CI/CD pipelines. Action: When architecting your next conversational AI application, carefully evaluate whether the significant velocity gains from a fully managed voice agent platform like Eleven Realtime align wi...

Definitely interesting book, but I still need lot of maturity to digest and practice all these concepts. Here are some quotes I felt interesting. It's not what you do that counts , it's the quality of your attention. Four components of NVC  observations  feelings  needs  requests Certain ways of communicating alienate us from our natural state of compassion The Sufi poet roomie once wrote "out beyond ideas of wrongdoing and doing there is a field I will meet you there". In the world of judgments our concern centers on "who is what" Analysis of others are actually expressions of our own needs and values Philosophy and judging people promotes violence Comparisons are a form of judgment Our language obscures awareness of personal responsibility We can replace language that implies lack of choice with language that acknowledges choice We are dangerous when we are not conscious of our responsibility for how we behave thing and feel We can never make people do any...

This week's AI pulse: Agentic AI took center stage, with new decision models, competitive LLM releases, and strategic platform acquisitions driving smarter, more integrated workflows. 1. Know this Cloudflare Open Sources Decision Models for AI Agents Why it matters: Cloudflare's release of Clef, a set of open-weight AI models designed for decision-making rather than text generation, introduces a specialized approach for building efficient and controlled agentic systems, particularly valuable in cloud-native environments. Action: Consider how decision-focused AI models can streamline your agent workflows, especially for tasks requiring precise, pre-defined choices over open-ended generation. 2. Try this Gemini 4 Argon Model Lands with Competitive Pricing Why it matters: The introduction of Gemini 4 Argon through the Gemini API offers a powerful new model for agentic development at a competitive price point, matching GPT-6 Sol and significantly undercutting other top...

This week's AI pulse: Agentic AI dominated headlines, bringing new tools for automation, challenging developer skill sets, and prompting crucial discussions on AI autonomy across cloud-native platforms. 1. Know this Cloudflare Open Sources Decision Models for AI Agents Why it matters: Cloudflare's new Clef models are specialized AI designed for making choices, not generating text. This open-weight release provides 9B- and 27B-parameter models and a platform for adapting them, opening new avenues for efficient, task-specific AI agents in your cloud-native stack. Action: Consider exploring these decision-based AI models for automating specific selection or routing tasks within your CI/CD pipelines or operational workflows, potentially replacing complex conditional logic. 2. Know this Harness Acquires Augment’s Coding Agents to Enhance Software Delivery Why it matters: Harness's acquisition of Augment Code's Cosmos software factory, Auggie CLI, and Code Contex...

This week's AI pulse: OpenAI's DevDay unveiled new agentic capabilities, while the broader AI landscape sees continued model advancements and critical security discoveries. 1. Know this OpenAI Unveils Persistent AI Agents with "Dots" Why it matters: At its DevDay event, OpenAI introduced "Dots," persistent agents built on GPT-6 Astra, designed to run autonomously. This marks a significant leap towards truly independent AI agents, fundamentally changing how applications are built and managed in cloud-native environments, as highlighted by The New Stack and Latent Space's DevDay summaries. Action: Start exploring agentic design patterns and re-evaluate your CI/CD pipelines to integrate future agentic workflows. 2. Try this Leverage AI Security Agents to Uncover Android Vulnerabilities Why it matters: GitHub recently showcased an open-source AI security agent that successfully identified 24 Android vulnerabilities. This demonstrates the immedia...