Multi-Model AI Code Review: How to Avoid Shared Blind Spots
Multi-model AI code review can catch flaws a single agent misses. Learn the workflow, limits, costs, and safeguards for reliable AI-built software.
Sep 9, 202617 min read
Ai Agents
123 articles on ai agents.
OpenAI Navier-Stokes Proof: Why the AI Math Claim Matters Beyond the Hype
The OpenAI Navier-Stokes proof could reshape AI research. Here’s what the claim shows, what Lean verifies, and why credit still matters.
Sep 9, 202617 min read
Can AI Replace SaaS? What Still Makes Software Worth Paying For
Can AI replace SaaS? Learn why AI-built custom tools threaten simple apps—and where reliable, secure, collaborative software still wins.
Sep 9, 202621 min read
Tencent Hy4 Preview: Why This Open Model Matters for AI Agents
Tencent Hy4 preview brings 770B open weights, 1M context and agent-focused capabilities. Here’s what builders should test before adopting it.
Sep 8, 202618 min read
AI Agent Supervision: How to Manage GPT-6 Astra Workflows
Learn AI agent supervision for GPT-6 Astra: manager loops, recipe cards, approval gates, and practical controls for long-running work.
Sep 7, 202619 min read
MCP for SaaS: Why Agent Access May Beat Another AI Chatbot
MCP for SaaS lets users access product data and actions from their preferred AI agent. Learn how to build secure, reliable agent-ready tools.
Sep 7, 202620 min read
Recursive Self-Improvement AI: Why OpenAI’s ‘Alien Mind’ Warning Matters
Recursive self-improvement AI could accelerate research faster than safety methods evolve. What OpenAI’s warning means for builders and leaders.
Sep 7, 202619 min read
Retriever AI Free Mode: What a Free Browser Agent Can Actually Do
Retriever AI Free Mode makes browser automation free with ads and limits. Learn what it does, where it helps, and when paid access matters.
Sep 7, 202617 min read
GPT-6 Astra Capabilities: What the Viral Demos Actually Prove
GPT-6 Astra capabilities go beyond chatbot demos. Learn what its agentic coding, browser use, benchmarks, risks, and rollout mean in practice.
Sep 7, 202618 min read
AI Agent Cost Controls: Why Monthly Caps Won’t Stop Runaway Loops
AI agent cost controls must stop a live run, not just report monthly spend. Learn the guardrails that prevent runaway loops and surprise bills.
Sep 6, 202621 min read
AI Agent API Errors: How to Design Recovery Instead of Retry Loops
AI agent API errors need more than a message. Learn a practical error contract that prevents retry loops, protects data, and improves MCP reliability.
Sep 5, 202620 min read
AI Agent Marketplaces Don’t Need Social Networks—They Need Market Infrastructure
AI agent marketplaces will not be won by feeds or followers. A practical playbook for discovery, trust, reputation, and solving cold start at scale.
Sep 5, 202619 min read
AI Agent Trading Safety: Why Default Guardrails Matter More Than Smarter Bots
AI agent trading safety is becoming a product-design problem. Learn why scoped keys, human kill switches, and default loss limits matter.
Sep 5, 202621 min read
AI Agent Safety Settings: Why Optional Controls Fail at the Point of Action
AI agent safety settings rarely work when buried in preferences. Learn how defaults, deployment gates, and guardrails create safer automation.
Sep 4, 202619 min read
GPT-6 Astra Benchmarks: What OpenAI’s AGI Claims Really Mean
GPT-6 Astra benchmarks reveal a major leap in computer use and cyber, but mixed general intelligence results complicate OpenAI’s AGI claims.
Sep 4, 202620 min read
Agent-Ready SaaS: Why APIs, CLIs, and MCP Matter More Than In-App Bots
Agent-ready SaaS is reshaping product strategy. Learn why APIs, CLIs, MCP, governance, and signal-led GTM matter more than another chatbot.
Sep 4, 202620 min read
AI Agent API Security: Why Least-Privilege Keys Beat Better Prompts
AI agent API security needs more than prompt rules. Learn how scoped credentials, kill switches, and denial logs protect SaaS actions.
Sep 3, 202621 min read
OpenAI Astra Recurrent Depth: Why Latent Reasoning Changes AI Safety
OpenAI Astra recurrent depth may make models more efficient and capable—but latent reasoning raises hard new questions for AI safety teams.
Sep 2, 202617 min read
Claude Fable 5.1: What Anthropic’s New Agent Model Means for Builders
Claude Fable 5.1 promises stronger long-horizon agents, cheaper cached context, and fewer false positives. Here’s what builders need to know.
Sep 2, 202619 min read
Local AI on Mac: Why Apple’s Always-On Agent Strategy Matters
Local AI on Mac is becoming practical for always-on agents. See what Apple’s hardware push means for privacy, cost, routing, and teams.
Sep 1, 202617 min read
Build an MCP Server With Codex: What the Manufact Tutorial Gets Right—and What to Add Before Production
Learn how to build an MCP server with Codex, deploy it on Manufact, add interactive UI, and avoid the security and product pitfalls.
Sep 1, 202622 min read
AI Revenue Intelligence Agents: Why Rimplo’s GTM Bet Is Bigger Than a Chatbot
AI revenue intelligence agents promise answers from fragmented GTM data. Here’s what Rimplo signals, what matters, and how teams should evaluate it.
Aug 31, 202618 min read
AI API Cost Tracking: How to Measure Agent Profitability
AI API cost tracking turns token bills into unit economics. Learn how to attribute agent spend, set controls, and measure customer profitability.
Aug 31, 202623 min read
Testing AI Agent Workflows: How to Stop Sandbox Successes Failing in Production
Testing AI agent workflows requires more than mocks. Learn how idempotency, state machines, replay, and observability prevent production failures.
Aug 30, 202620 min read
AI Agent Management: How to Measure Real Business Value
AI agent management starts with measurable outcomes, not activity. Use this practical framework to deploy safer, more valuable agents.
Aug 30, 202620 min read
Prompt Caching for AI APIs: The Cost Control Most Builders Still Miss
Prompt caching for AI APIs can cut repeated-context costs by up to 90%. Learn what to cache, avoid cache misses, and measure ROI.
Aug 30, 202619 min read
AI Coding Agent Workflow: How to Build Faster Without Letting Agents Merge Their Own Mistakes
Build a safer AI coding agent workflow with independent planning, sandboxed execution, deterministic tests, and human-controlled merge gates.
Aug 29, 202620 min read
Autonomous AI Research: What Astra, WikiSkill, and Claude Really Signal
Autonomous AI research is moving from demos to repeatable loops. See what Astra, WikiSkill, and Claude reveal about capability and safety.
Aug 29, 202618 min read
Friction-Maxxing AI: How to Use AI Without Losing Your Judgment
Learn the friction-maxxing AI workflow: challenge outputs, test assumptions, compare models, and use human feedback to sharpen judgment.
Aug 28, 202620 min read
Wix Symphony Review: Why AI Outreach Needs Stronger Guardrails
An early Wix Symphony review exposes outreach risks, memory gaps and hidden edits, with a safer framework for founders using AI agents.
Aug 27, 202621 min read
OpenAI Hugging Face AI Agent Incident: Why the “Swarm” Matters
The OpenAI Hugging Face AI agent incident shows why agent swarms, flawed evaluations, and shared tools create a new security challenge.
Aug 27, 202617 min read
GLM-5.3-Flash Review: Why This Open Agent Model Matters
GLM-5.3-Flash pairs MIT-licensed 320B open weights with low API pricing. Here is what its agent benchmarks, local limits, and release mean.
Aug 27, 202619 min read
AI Agent Management Is the Job Automation Creates
AI agent management is a new operating skill. Learn why automation creates oversight work and how businesses can deploy agents safely at scale today.
Aug 26, 202618 min read
DeepSeek Harness: Why Self-Modifying AI Agents Need Better Guardrails
DeepSeek Harness makes AI agents modular, traceable and self-extending. Learn what it changes, where it helps, and what builders must secure.
Aug 26, 202621 min read
AI Agent Verification: How Unlazy Makes “Done” Provable
AI agent verification gets practical with Unlazy: reviewed acceptance gates, reruns, evidence ledgers, and safer parallel coding workflows.
Aug 26, 202620 min read
DeepSeek Harness: Why Its Plugin-First Agent Runtime Matters
DeepSeek Harness is an open-source, plugin-first agent runtime. Learn how its modes, traces, plugins, and local setup change AI development.
Aug 25, 202620 min read
How to Choose an AI Model by Mapping Your Best Workflow First
Learn how to choose an AI model by mapping your best workflow, testing real tasks, measuring quality, cost, speed, and building a durable AI stack.
Aug 25, 202619 min read
Encrypted Reasoning Trace Security: What the Latest LLM API Research Means for Builders
Encrypted reasoning trace security is now a core LLM API concern. Learn what replayable AI reasoning blocks mean for apps and teams.
Aug 24, 202618 min read
Open Source AI Tools Are Becoming Production Primitives, Not Just Demos
Open source AI tools are moving from flashy demos to controllable production systems. Here’s what Evoke, 4DAnyone and AVO mean for builders.
Aug 23, 202621 min read
x402 Payments for AI Agents: Why Ramp’s Solana Move Matters
Ramp’s x402 payments for AI agents bring USDC wallets, spend controls, and audit trails together. Here’s what builders and finance teams need to know.
Aug 22, 202617 min read
Node.js Production Debugging Needs Runtime Evidence, Not More Logs
Node.js production debugging is shifting from logs and stack traces to runtime evidence. Here’s what Errorcore’s approach means for SaaS teams.
Aug 22, 202619 min read
DeepSeek V4 Pro 0813: Why Post-Training and DSpark Matter More Than a New Architecture
DeepSeek V4 Pro 0813 brings stronger agent performance, MIT-licensed weights, and DSpark decoding. Here is what builders should know.
Aug 20, 202620 min read
Delta AI Coding App: Why Zed Is Rebuilding Version Control for Agents
The Delta AI coding app connects agent conversations, edits, and Git history. See how Zed’s DeltaDB changes review and collaboration.
Aug 20, 202618 min read
Berd AI Agent Workspace: Why Block’s Open-Source Desktop Matters
Berd AI agent workspace unifies coding agents, projects, skills and local files in one desktop app. See how Block’s open-source hub works.
Aug 19, 202622 min read
AI SaaS Pricing Is Becoming a Trust Test, Not Just a Revenue Lever
AI SaaS pricing is shifting from flat seats to add-ons, credits, and outcomes. Learn what buyers and vendors need to prove before charging more.
Aug 19, 202618 min read
GPT Astra Rumors: What the Next AI Model Wave Means for Builders
GPT Astra rumors, Claude speculation, and open-weight gains reveal why builders should benchmark models, manage context costs, and avoid roadmap bets.
Aug 18, 202619 min read
AI Agent Security: How to Stop Helpful Tools From Causing Real Damage
AI agent security is now an operational priority. Learn how poisoned skills, prompt injection and overbroad permissions create preventable risk.
Aug 17, 202621 min read
AI Agents in the Future of Work: How to Build Real Leverage
AI agents in the future of work will reshape leverage, compensation, and services. Learn to prove value and deploy agents responsibly.
Aug 17, 202619 min read