AI Agents
Why MCP Exists: The Integration Problem It Solves
Understand why AI integrations become difficult at scale and how MCP creates a reusable boundary between AI applications and external systems.
Priya Nair5 min read
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Editorial Team Profile
Priya Nair
Tech Culture & Business Writer
“Narrative-driven, warm, human-centered”
Articles Published by Priya Nair
AI Agents
Testing and Debugging MCP Servers
A practical workflow for inspecting, testing, and debugging MCP servers from protocol exchange to downstream side effects.
Priya Nair5 min read
AI Agents
MCP Error Handling: Timeouts, Retries, and Cancellation
A reliability guide to MCP errors, deadlines, retries, cancellation, progress, idempotency, ambiguous writes, and observable recovery.
Priya Nair8 min read
AI Agents
MCP Resources Explained: Giving Agents the Right Context
Understand MCP resources, resource URIs, templates, discovery, reading, subscriptions, and safe context selection.
Priya Nair3 min read
AI Agents
Model Routing for AI Agents
Choose models by task requirements, policy, quality, latency, and cost instead of sending every step to one default.
Priya Nair9 min read
AI Agents
Deploying AI Agents to Production
A practical path from a local agent prototype to a controlled, observable, and reversible production service.
Priya Nair10 min read
AI Agents
Human-in-the-Loop for AI Agents
A practical, production-oriented explanation of human-in-the-loop control, with examples, boundaries, trade-offs, and failure handling patterns.
Priya Nair10 min read
AI Agents
MCP Security and Permissions
A practical security model for MCP trust boundaries, authorization, least privilege, approvals, external content, backend credentials, and auditability.
Priya Nair8 min read
AI Agents
AI Agent Evaluation Explained
Agent evaluation measures task outcomes, trajectories, tool behavior, constraints, safety, reliability, latency, and cost—not only final prose.
Priya Nair8 min read
AI Agents
Centralized vs Decentralized Multi-Agent Architectures
Compare centralized, decentralized, and hybrid multi-agent architectures across control, state, coordination, scale, observability, governance, and resilience.
Priya Nair9 min read
AI Agents
Agent Graphs and State Machines Explained
Learn how agent graphs and state machines make nodes, edges, branches, loops, checkpoints, transitions, retries, and terminal outcomes explicit.
Priya Nair10 min read
AI Agents
Embeddings Explained for AI Agents
A beginner-friendly mental model of embeddings, vectors, similarity, and how AI agents use them for retrieval and memory without confusing similarity with truth.
Priya Nair8 min read
AI Agents
Single-Agent vs Multi-Agent Systems
Learn how single-agent and multi-agent systems differ, what extra coordination costs, and how to choose the simplest architecture that works.
Priya Nair14 min read
AI Agents
Anatomy of an AI Agent: The 9 Core Components
A beginner-friendly breakdown of the model, instructions, tools, memory, state, planning, feedback, guardrails, and execution loop inside an AI agent.
Priya Nair13 min read
Asia AI
DeepSeek's Own AI Chip Is China's Big Independence Bet
DeepSeek is designing its own AI inference chip to cut its reliance on Nvidia and Huawei, Reuters reported on July 7. The effort is early and faces steep manufacturing hurdles under U.S. export controls, but the intent is unmistakable. It signals that China's top AI lab now treats owning its compute as a strategic necessity, mirroring recent custom-silicon moves by OpenAI and Anthropic. For PMs, it is an early warning that the AI supply chain may split into two stacks, and your vendor choices will increasingly carry geopolitical weight.
Priya Nair5 min read
Policy
FTC AI Accuracy Policy Traps Builders Between Two Laws
The FTC's proposed AI accuracy policy statement, out July 1 and open for comment until July 31, 2026, says steering a model's output away from the correct answer without disclosure can be deception under Section 5. It was ordered by Trump's Executive Order 14365 and singles out Colorado's AI Act as impliedly preempted. The bigger signal: federal and state law now point AI teams in opposite directions over what a model is allowed to say. For PMs, the liability lands not on the labs but on the companies deploying these models into regulated decisions.
Priya Nair5 min read
Asia AI
Kling's $2.8 Billion Raise Is a Verdict on AI Video Hype
Kuaishou's Kling AI closed a funding round of roughly $2.8 billion at an $18 billion valuation ahead of a planned Hong Kong spin-off listing, backed by Tencent, Alibaba Cloud, Baidu, and Chinese state-linked funds. The raise lands five months after OpenAI shut down Sora, which generated just $2.1 million in lifetime revenue against roughly $1 million in daily operating costs. Kling's edge isn't a flashier model — it's pricing 65% below Sora and distribution embedded directly into Kuaishou's commerce ecosystem. For PMs, the lesson is that vendor selection in generative video should weight unit economics and distribution over demo polish, because the category is now punishing spectacle and rewarding plumbing.
Priya Nair5 min read
Startups
Together AI's $800M Round Signals Open-Source AI's Rise
Together AI raised $800 million at an $8.3 billion valuation, according to Reuters, one of the largest bets yet on open-source AI infrastructure. The round signals that investors see real, durable demand in helping companies run open-weight models outside the big proprietary labs. It's a sign that vendor lock-in has become a boardroom-level risk, not just an engineering preference. For PMs, it means the case for open-source model infrastructure, on cost and control, just got a lot harder to ignore.
Priya Nair5 min read
Startups
Jeff Bezos Missed the LLM Boom. Now He Is Betting Everything on Building the AI Engineer.
Jeff Bezos watched the large language model revolution happen from the sidelines — a remarkable thing to say about the founder of AWS the infrastructure that runs half the AI industry. Now Bezos wants Amazon to build what he calls an AI engineer: autonomous systems that can write test and deploy code with minimal human oversight.
Priya Nair5 min read
Startups
The Year AI Ate Venture Capital: Inside 2025 Unprecedented Funding Surge
In 2025 venture capital made a decision. Not gradual but an abrupt unmistakable pivot. AI did not just attract more funding than any other sector. It absorbed the kind of capital that used to flow toward climate tech biotech and fintech combined.
Priya Nair5 min read
Asia AI
Meituan's 1.6T-Parameter Bet: Domestic Chips Can Train Frontier AI
Meituan open-sourced LongCat-2.0, a 1.6 trillion-parameter model it claims was trained entirely on a 50,000-card domestic ASIC cluster — a first for China at this scale. The model matches DeepSeek's V4-pro in parameter count and context window, but unlike DeepSeek, Meituan says it used homegrown chips for both training and inference. This breaks the assumption that restricting Nvidia exports throttles China's ability to build frontier models, not just run them. For PMs, the supply-chain risk calculus for AI infrastructure just shifted — and your vendor dependency audit probably hasn't caught up.
Priya Nair5 min read
Asia AI
vivo X Fold6 Bets on Custom Silicon to Own AI Productivity
vivo launched the X Fold6 on June 26, 2026, positioning it as an on-device AI workstation powered by a custom co-developed MediaTek Dimensity 9500 Super Edition chip and OriginOS 6 Fold. The device delivers a 111% NPU performance boost with 56% lower power consumption, plus a 7x improvement in offline voice transcription speed. The launch signals a broader industry shift toward edge AI productivity as a primary mobile use case, with implications for enterprise software and platform strategy well beyond China.
Priya Nair4 min read
Asia AI
Baidu's ERNIE Consolidation: Too Tidy, Too Late
Baidu has merged its three fragmented ERNIE AI interfaces — ERNIE Bot, Wen Xiaoyan, and Baidu ERNIE Assistant — into a single portal at chat.baidu.com, ending years of confusing brand overlap caused by siloed internal teams. The cleanup is overdue but arrives as Baidu's consumer AI position has already weakened significantly, with ERNIE App at roughly 5 million DAU against ByteDance's Doubao at over 140 million. For PMs, the story is a case study in how organizational structure, not model quality, can determine product fate.
Priya Nair4 min read
Asia AI
Daikin Bets $108M on India to Solve AI's Heat Problem
Daikin Industries has approved a ~$108 million investment to establish its first global R&D hub outside Japan in Haryana, India, focused on advanced cooling solutions for AI data centers. The move reflects the growing thermal crisis in AI infrastructure, where high-density chips like NVIDIA's Blackwell require fundamentally new cooling approaches. For the broader industry, it signals that critical AI infrastructure innovation is increasingly being anchored in the Global South.
Priya Nair4 min read
Asia AI
India's Pickleball Boom Is a $50M Tech Opportunity
India's pickleball market has grown from a niche weekend activity to a $50 million industry with over 1,200 courts and a projected 26% CAGR through 2030. The sport's low infrastructure costs, high social appeal, and celebrity-backed professional leagues are accelerating adoption across urban India. For product managers and founders in SportsTech, D2C hardware, and community platforms, this represents a rapidly closing window to establish distribution and brand loyalty before the market consolidates.
Priya Nair4 min read