AI articles and tutorials
In-depth explainers and tutorials on LLMs, AI agents, tools and the latest model releases.
- Zapier Next Gen Zaps: Combining Deterministic and Agentic AI — Learn how Zapier Next Gen Zaps solve AI reliability and token waste by mixing 'hardened' deterministic automation with probabilistic agentic decision-making.
- Exploring God's Eye View: Open Data Spatial Intelligence — Learn how God's Eye View aggregates live CCTV, traffic, and flight data into a photorealistic 3D globe using open-source tools and the Pinokio browser.
- Securing Modern Apps with AI-Powered Code Rabbit Reviews — Learn how Code Rabbit leverages AI to automate security reviews in pull requests and trace complex vulnerabilities across your entire codebase.
- Rebuilding Food Systems: Automating Pasture Rotation with AI Agents — Cody Menefee explains how to use LLMs, Firecrawl, and GPS collars to automate rotational grazing and move livestock from feedlots back to pastures.
- Automating AI Video Production Using Claude and Higgsfield MCP — Learn how to use a stage-gated workflow to connect Claude to Higgsfield via MCP, enabling automated story development, character consistency, and 4K video generation.
- Perceptron AI and the Rise of Embodied Foundation Models — Learn how Perceptron AI's new model unifies perception and control, using Data Sparse MoE and a new scaling law to reduce expensive teleop data.
- Scheduling Managed Deep Agents with LangChain and LangSmith — Learn how to use cron syntax to automate recurring AI tasks and deliver proactive reports to Slack using LangChain's Managed Deep Agents and LangSmith.
- How Meta Solves Video Misalignment and Unoriginality at Scale — Learn how Meta uses a multi-agent system of specialized VLMs to detect modality misalignment and unoriginal content in over 100 million short-form videos.
- Document Intelligence: Building Robust AI Agents with Reducto — Learn how Adit Abraham of Reducto optimizes PDF parsing and document intelligence to stop compounding errors in multi-step AI agent pipelines.
- Running Business Operations with GPT-6 Astra — Move from AI chatting to AI-native operations using GPT-6 Astra's Work tab, Specialist Workers, recorded skills, and cloud-based scheduled tasks.
- Why Frontier Models Fail Visual Reasoning: Andrew Dai on Elorian — Andrew Dai explains why GPT-4 and Gemini struggle with spatial reasoning and how Elorian's 'Visual Chain of Thought' aims to fix AI's visual blindness.
- Needle: The Tiny, On-Device LLM for Private Automation — Learn how Cactus Compute's Needle brings ultra-small 8–29 MB LLMs directly to hardware like robot vacuums and smartwatches for private, reliable automation.
- Salesforce Agentforce: The Shift to an Agent-First CRM — Explore how Salesforce Agentforce is redefining the CRM experience by allowing AI agents to execute tasks, reducing the need for manual app navigation.
- Cyrus Clarke's Physical AI: Giving OpenClaw a Body — Learn how MIT researcher Cyrus Clarke used OpenClaw and a 900-pin shape display to create a non-humanoid AI with its own learned body language.
- Anthropic Opus 5.5: A New Standard for Agentic Coding — Explore Anthropic's Opus 5.5, featuring improved agentic coding on Terminal Bench 4.0, lower API pricing, and a more natural, human-like communication style.
- Securing AI-Generated Code with Alibaba's Open-Code-Review — Learn how Alibaba's open-source Open-Code-Review tool helps developers catch security vulnerabilities like plaintext passwords in AI-generated code.
- Mastering Claude Fable 5.1 with Advanced Prompt Engineering — Learn why lazy prompting fails with Claude Fable 5.1 and how to use an iterative interview technique to prevent costly errors and rate limit exhaustion.
- Building Agent Harnesses with Jev and TypeSafe AI — Learn how Jev, a System 1 decision model from TypeSafe AI, replaces heavy LLM calls for classification and routing in LangChain agent harnesses.
- Using Grok 4.7 for Coding with Cloud Room and Astra — Learn how to integrate Grok 4.7 into your workflow using Cloud Room, combining Astra's planning with Grok's speed for efficient software development.
- Xiaomi MiMo v2.6: A New Frontier for Open-Weight Models — Explore Xiaomi's MiMo v2.6, a trillion-parameter open model rivaling GPT 5.6 Soul in agentic coding and scientific research, including its RL training costs.
- Verified Graphs: Why AI Agent Swarms Fail in Science — Learn why natural language is a 'lossy channel' for AI agents and how neuro-symbolic auditing with deterministic solvers can fix multi-agent reasoning failures.
- OpenAI's Codex and the Rise of the AI-Native Workplace — Learn how OpenAI uses 'computer use,' ChatGPT Sites, and proactive agents to shift work from manual tasks to high-level human judgment and orchestration.
- Instinct vs GrokBot vs Muse: Which AI Agent Actually Works? — A head-to-head comparison of Instinct, GrokBot, and Muse AI agents, testing real-world tasks like Airbnb searches, browser control, and agent coordination.
- Automating Outbound Sales with GrokBot Voice AI Agents — Learn how GrokBot uses voice AI to qualify E2 visa leads and book meetings, generating $16,000 in revenue within its first two weeks of operation.
- Beyond Prompting: Paul Bakaus on Harness Engineering — Move past 'AI slop' by mastering harness engineering. Learn Paul Bakaus's techniques for adversarial sub-agents, inverted judges, and model-specific builds.
- How Peter Yang's /fuck-cancer AI Skill Supports Patient Advocacy — Learn how Peter Yang's open-source AI tool /fuck-cancer uses LLMs and trusted medical data to help families manage the logistical chaos of cancer treatment.
- How Unify Applies Self-Driving Eval Logic to AI Agents — Connor Heggie explains why manual review of real-world examples is the only way to truly trust an AI model before deploying it to production.
- State of Thought: Replacing Chain-of-Thought with AI Proprioception — Learn how State of Thought (SoT) uses a tiny 582-parameter controller to reduce AI token usage by 60% while improving reasoning accuracy and efficiency.
- Building an AI Voice Sales Agent with GrokBot and ElevenLabs — Learn how to build an automated AI voice agent that qualifies leads and books calls using GrokBot, ElevenLabs, Twilio, and Attio to drive revenue.
- Meet Jev: The AI Classifier That Replaces Expensive LLM Calls — Discover Jev, the new general-purpose classifier from TypeSafe that delivers high-speed, low-cost decision-making for software without the overhead of text generation.