#Perplexity Agent API
94 related articles
·7 min
Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'
Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.
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·7 min
AI Daily: T-Head Open-Sources SAIL Software Stack at WAIC, Flurry of Large Model Releases
T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.
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·6 min
30-Minute Hands-On: Building a Working AI Agent from Scratch
Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.
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·2 min
GPT-5.6 Sol Tops Frontend Leaderboard · Claude Code Gets Built-in Browser · 50-Year Math Conjecture Solved
GPT-5.6 Sol tops Chatbot Arena's frontend leaderboard, Claude Code gains a built-in browser, Sol Ultra proves a 50-year math conjecture, and Gemma 4 gets 5x faster.
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·4 min
Cross-Platform AI Agent Setup Guide: Breaking Free from Vendor Lock-In for Good
Model performance gaps are closing. Real competitive advantage lies in portable AI agent architecture. Learn how to build a workspace that works across Claude Code, Codex, and beyond — no vendor lock-in.
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·2 min
How to Choose Long-Horizon AI Workflow Tools? A Deep Comparison and Decision Framework for Leading Agent Solutions
Why do chatbots fail at long-horizon workflows? We compare Manus, Perplexity Comet, Claude, ChatGPT and more across task type, total cost, and automation level.
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·3 min
Perplexity Max Deep Dive: Is the $200/Month Plan Worth It? The Truth About Credit Consumption
A Reddit user's real experience with Perplexity Max ($200/month): 15,000 credits burned on one task, failed Grok integration, and complex MCP setup. Is it worth it?
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·4 min
Microsoft Teams Collaborative AI Agents: The Three-Pillar Framework of Manners, Privacy, and Polish
Microsoft Build deep dive: how to deploy AI agents in Teams multi-user collaboration. A three-pillar framework—Manners, Privacy, Polish—covering emoji reactions, targeted messages, Adaptive Cards, and more for enterprise agent developers.
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·3 min
AirOps in Practice: Building Enterprise-Grade AI Agents with the Claude Agent SDK
How AirOps replaced traditional workflow builders with the Claude Agent SDK to build an AI agent platform for content marketers — covering three architectural iterations, harness engineering, and sub-agent context management.
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Cognitive Outsourcing: Are We Delegati…
·3 min
Cognitive Outsourcing: Are We Delegating Too Much Thinking to AI?
Are AI tools like ChatGPT and Copilot eroding our critical thinking? Explore the risks of cognitive offloading, how AI dulls judgment, and how to maintain healthy boundaries.
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Deep Dives
Deep Dive into AI Agent Skill Design: …
·3 min
Deep Dive into AI Agent Skill Design: Engineering Practices from Anthropic and Perplexity
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.
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·2 min
Is $200/Month Worth It? A Deep Dive into AI Agent Subscription Costs and ROI
Is $200/month for AI Agents worth it? We break down credit consumption mechanics, tool tradeoffs, and ROI calculations for ChatGPT Pro, Claude Max, and more.
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·3 min
Perplexity Max Credits Drop from 40K to 10K — What Should Paid Users Do?
Perplexity Max users find monthly credits slashed from 40,000 to 10,000 with no notice. We break down why, how Agent features drain credits, and what paid users should do.
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·7 min
Breaking Down the Core Skills of an AI Application Engineer: From Beginner to Industrial-Grade Deployment
Knowing how to call an API doesn't make you an AI engineer. This article breaks down the complete skill structure of an AI application engineer, covering Python fundamentals, LLM fine-tuning, Agent development, and enterprise projects.
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·6 min
Airtel Gives Away Free Perplexity Pro: Will You Be Charged Automatically When It Expires?
Airtel partnered with Perplexity to offer users a free one-year Pro subscription, but the renewal charging mechanism worries many. This article breaks down the billing logic of operator-bundled subscriptions and offers practical self-protection tips.
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·2 min
Comet Browser Users Call for Claude Sonnet 5 Upgrade: A Deep Dive Into the AI Browser Dilemma
Perplexity's Comet browser faces user criticism over lagging model versions, stalled updates, and stability issues. A deep analysis of AI browser challenges.
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·3 min
Is Perplexity Pro Worth Subscribing To? A Practical Comparison Guide for Major AI Tools
Is Perplexity Pro worth paying for? This guide compares ChatGPT Plus, Claude Pro, and Google Gemini across research, writing, and coding to help you choose the right AI subscription.
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·5 min
Ollama Raises $65M Series B: 85% of Fortune 500 Have Already Deployed Local LLMs
Local LLM tool Ollama closes a $65M Series B, bringing total funding to $88M. With 9M developers and 85% of Fortune 500 having deployed internally, this deep dive explores why enterprises embrace local LLMs: compliance, Agent cost savings, and open-source ecosystem.
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·5 min
28 Enterprise-Grade AI Agent Projects: A Complete Guide That Even Beginners Can Deploy
A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.
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·4 min
Why General-Purpose Agents Don't Work: How a Job Interview Reshaped One Developer's Thinking
An Agent developer's three-round interview reveals why general-purpose Agents are a dead end for startups. The path forward: vertical Agents, domain context, and iteration speed as a moat.
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