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How to Design an Agent Harness: Six Decisions That Turn a Model into a Worker You Can Leave Alone
Six decisions that sit between a raw model and reliable unattended work: loops, tool menus, memory retention, crash recovery, security boundaries, and evaluation.
How to Design an Agent Harness: Six Decisions That Turn a Model into a Worker You Can Leave Alone
A practical guide to designing an AI agent harness around six decisions: the execution loop, tools, context, persistence, permissions, and independent evaluation. Includes real-world examples and a weekend implementation plan.
Jev Clearly Explained: Why Modern AI Architecture Needs System One Decision Models
A deep dive into Jev by TypeSafe AI: why software needs low-latency, deterministic decision models over generative LLMs, how probability outputs work, and where to deploy Jev inside AI agents.
How to Use Jev Model: 8 Practical Use Cases
A comprehensive guide to the trending Jev model: what it is, how to get started in 30 minutes, 8 real-world use cases, and official limitations to avoid.
Steam, Steel, and Infinite Minds
Every era is shaped by its miracle material. Steel forged the Gilded Age. Semiconductors switched on the Digital Age. Now AI has arrived as infinite minds. Notion co-founder Ivan Zhao explores what knowledge work and organizations look like when unconstrained by human limits.
You Need to Be Delusional If You Want to Succeed
Why realistic goals lead to mediocrity, the psychology behind delusional goals, how to enter the reality distortion field of ultra-successful builders, and how to achieve what most consider impossible.
What if AGI is already here, and it's made of... children?
We are obsessed with watching the front door for a singular machine god, but what if superintelligence is already here as a distributed, self-replicating swarm substrate? A deep dive into emergent evolutionary cognition in multi-agent architectures.
Rethinking Skills and Prompts for GPT-6 Astra
Coding agents have come a long way, and best practices are changing fast. With more capable models, what used to require a lot of handholding and scaffolding no longer does. A guide to better skills, up-to-date AGENTS.md, decision boundaries, and persistence with GPT-6 Astra.
SEO Rank Watch: AI-Driven SEO Optimization Prompt and Workflow for Unattended Websites
A complete prompt and workflow specification for using AI Agents to continuously optimize Google search rankings. Features systematic rank tracking, search intent gap analysis, and strict 7-day observation cycles.
pstack Guide Part 2: Supervising Smarter Agents
Learn how to supervise smarter AI agents using pstack: moving from command execution to task orchestration, managing context drift, sub-agent delegation, and agent-assisted review.
How I Design with AI: 7 Principles to De-Slop Product Design
As an engineer who is not a designer and hates slop, Matt Dailey shares 7 practical principles for product design with AI, avoiding whack-a-mole patchwork and building cohesive UIs.
Portal by Spotify Cut My Claude Code Token Usage by 90%
Most of what an AI coding agent does for me is I/O, not thinking. Using AiKA Modes in Portal by Spotify plus a Claude Code plugin called shunt, I routed the grunt work — bulk file reads and boilerplate code generation — to a cheaper model and cut token usage by ~90%.
Before Achieving Greatness, Learn to Sell
Insights from marketing mentor Mengke Wang at the Apple × Zhejiang University Mobile App Incubator: App Store is a warehouse, content platforms are shelves; marketing is translation; targeting concrete people, designing high-converting covers, and bootstrapping indie apps.
Running a Software Factory Efficiently at Uber Scale
AI tools are embedded in every phase of software development at Uber. Learn how Uber scaled agentic usage 7x while reducing unit cost through model routing, prompt caching, code-mode MCP execution, and AI context graphs.