Insights for AI builders
Tutorials, product updates, and ideas to help you build and ship AI applications faster.
Subscribe via RSS
The AI Context War: Why Siri, Claude Tag, and Codex Are All Solving the Same Problem
Apple, Anthropic, and OpenAI are all racing to connect AI to your real-world context. Here's why context access now matters more than model intelligence.
How to Build a Brand Context Folder That Makes Every AI Output Sound Like You
A brand context folder with voice profile, visual identity, and positioning files gives every Claude session consistent, on-brand outputs from the start.
How to Use Claude Code's /goal Command with Routines for Fully Autonomous Scheduled Workflows
Combining /goal with Claude Code routines lets you set finish conditions and run recurring tasks on a cron schedule without ever sitting at your terminal.
Confidence-Scheduled Verification: How DeepSpark Cuts Wasted GPU Compute in AI Agents
DeepSpark's confidence-scheduled verifier skips low-probability tokens under load, saving GPU resources and speeding up production AI agent inference.
Human-in-the-Loop Checkpoints for AI Agents: Why Full Autonomy Is the Wrong Goal
The best AI workflows aren't fully autonomous. Learn how to identify the two or three checkpoints where human review prevents costly mistakes and AI slop.
OpenAI Codex Record and Replay: How to Automate Repetitive Computer Tasks Without Code
Codex's record-and-replay feature lets you demonstrate a workflow once and have AI repeat it. Learn how it works, its limits, and how to use it effectively.
How to Use Seed Audio as a Reference for Seedance Video Generation
Generating audio first with Seed Audio and using it as a Seedance reference produces better voice acting and ambient sound while reducing expensive re-rolls.
How to Build a Multi-Perspective AI Research Workflow Using the STORM Method
Stanford's STORM method uses five expert agent personas to produce research 25% more organized than single-prompt approaches. Here's how to build it.
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.
What Is Seedance 2.5? ByteDance's 30-Second AI Video Model With 50 Multimodal References
Seedance 2.5 supports 30-second outputs, 4K resolution, and up to 50 image and audio references for consistent long-form AI video generation.
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.
How to Use the /goal Command in Claude Code for Autonomous Long-Running Tasks
The /goal command in Claude Code sets a finish condition and keeps agents working until it's met. Learn how to use it with routines for always-on automation.