Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
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Sub-Agents vs Agent Teams in Claude Code: What's the Difference and When to Use Each
Sub-agents report to one session but can't talk to each other. Agent teams can debate and collaborate. Learn which architecture fits your workflow.
What Is DeepSpark? DeepSeek's Speculative Decoding Method That Makes Every LLM Faster
DeepSpark is DeepSeek's open-source speculative decoding system delivering 50–400% faster inference without retraining. Here's how it works.
What Is GLM 5.2? The Open-Weight Model Beating GPT 5.5 on Design and Coding Benchmarks
GLM 5.2 from ZAI offers a 1M token context window, MIT license, and frontier-level coding performance at a fraction of the cost of closed models.
What Is Seed Audio 1.0? ByteDance's Audio Scene Generator for AI Video Workflows
Seed Audio 1.0 generates full audio scenes with dialogue and ambient sound at 18 cents per minute. Learn how it improves Seedance video generation quality.
Claude Code Auto Mode, /goal, and /routines: How to Run Agents Without You
Learn how to combine Claude Code's auto mode, /goal command, and routines to build AI workflows that run scheduled tasks without human supervision.
How to Build an AI Second Brain Knowledge Base with Claude Code
Learn how to build an AI second brain using Claude Code with voice profiles, visual identity files, and positioning docs that power every agent session.
How to Prevent AI Sycophancy in Your Workflows: The Multi-Persona Council Method
AI models agree with you 88% of the time. Learn how to use a multi-persona council—contrarian, buyer, researcher—to stress-test ideas before you build.
How to Use the /goal Command in Claude Code for Fully Autonomous Workflows
The /goal command in Claude Code keeps agents running until a measurable condition is met. Learn how to set goals, exit criteria, and combine with sub-agents.
Speculative Decoding Explained: How Draft Models Make AI Agents Faster
Speculative decoding uses a small draft model to guess tokens and a large model to verify them. Learn how it cuts AI agent latency without losing quality.
What Is DeepSpark? How DeepSeek Made Every LLM 50–400% Faster Without Retraining
DeepSpark is DeepSeek's speculative decoding method that speeds up LLM inference 50–400% with no retraining. Learn how it works and why it matters.
What Is Hermes Agent? The Open-Source AI Agent Platform Explained
Hermes Agent is an open-source AI agent with built-in skills, memory, scheduling, and Stripe payments. Learn how it compares to Claude Code and OpenClaw.
What Is Seedance 2.5? ByteDance's Volcano Arc IP Licensing Platform Explained
Seedance 2.5 adds 4K video, 30-second outputs, and a licensed IP platform that lets creators generate content using real film assets with revenue sharing.
How to Build a Brand Context Folder for AI Agents: Voice, Visual Identity, and Positioning
A brand context folder gives every AI session your voice, design tokens, and ICP. Learn how to build one in 30 minutes and inject it into every workflow.
ByteDance Volcano Arc: How Seedance Is Solving the IP Problem for AI Video
ByteDance's Volcano Arc platform licenses real actor likenesses and film assets for AI video generation with revenue sharing. Here's how it works.
Claude Tag for Slack: How Anthropic's Native Agent Changes Enterprise Workflows
Claude Tag lets teams tag Claude in Slack like a teammate. Learn how it works, what it can do, and why Andrej Karpathy called it a new AI paradigm.
Context Rot in AI Agents: What It Is and How to Fix It with Session Handoffs
AI models degrade as conversations grow longer. Learn what context rot is, when it starts, and how session handoff skills keep your agents sharp.
How to Coordinate Multiple AI Agents Without Copying and Pasting Between Tools
Most AI users manually carry context between tools. Learn how ticket-based queues and shared state let agents hand off work without human intervention.
AI Model Regulation: What the GPT-5.6 Government Review Means for Your AI Stack
The US government is requiring staggered AI model releases. Learn what the GPT-5.6 preview rollout means for builders, startups, and enterprise AI teams.
OpenAI Codex Record and Replay: How to Automate Repetitive Computer Tasks
OpenAI Codex's record-and-replay feature lets you record any workflow and replay it automatically. Learn how it works, its reliability, and best practices.
Seedance 2.5: 30-Second Video, 4K Output, and 50 Multimodal References Explained
Seedance 2.5 doubles video length to 30 seconds, adds 4K output, and supports 50 multimodal references. Here's what it means for AI video workflows.
Self-Scaffolding AI Models: How Ornith 1.0 Writes Its Own Agent Harness
Ornith 1.0 generates custom harnesses for each task instead of relying on human-written scaffolds. Learn how self-scaffolding works and why it matters.
Claude Tag for Slack: What It Is and How Enterprise Teams Use It
Claude Tag lets you @mention Claude in Slack like a teammate. Learn how it works, what it can do, and why Anthropic says 65% of their code uses it.
AI Model Regulation: What the GPT-5.6 Government Review Means for Builders
The US government now reviews frontier AI models before public release. Here's what the GPT-5.6 staggered rollout means for AI builders and businesses.
GPT-5.6 Sol, Terra, and Luna: What the Three Model Tiers Mean for Builders
OpenAI previewed GPT-5.6 in three tiers: Sol for power, Terra for balance, and Luna for speed. Here's what each tier delivers and who should use which.