Articles
Practical materials and deep dives about AI automation.
A practical roundup of free vibe coding and AI agent courses for founders and teams building products and automating work.
ReadLearn why the allowed actions of multiple AI agents can exceed overall risk, and how to verify one pre-commit limit with the LIMIT method.
ReadA breakdown of GPT-6 Astra: capabilities, testing, API pricing, availability, risks, and a practical plan for business evaluation.
ReadExplore the core layers of digital agency management, including sales, profitability, operations, team structure, contracts, AI, and a 90-day plan.
ReadSee how agentic AI searches long videos for events, where it can make mistakes, and how to compare it with static analysis using CADR.
ReadSee what changed in Claude Fable 5.1, how pricing works, and how to validate migration with APIs, caching, evals, and rollback.
ReadSee how AI agents can forecast A/B tests, where they fall short of real traffic, and how to validate results with the SITO method.
ReadLearn how to implement AI agents in cybersecurity, measure speed and quality, preserve SOC skills, and test team performance without AI.
ReadLearn what changed in OpenClaw 2.0 (v2026.8.1), including new features, breaking changes, memory, security, and upgrade steps for Gateway users.
ReadLearn how to identify the first critical error in an AI agent chain, confirm the cause with a replay test, and fix the system without polluting memory.
ReadLearn how to prepare for an AI model shutdown, reduce vendor lock-in, and build a safer exit plan for switching services.
ReadLearn how to evaluate AI on private tasks without exposing data, using double-blind evaluation, TEEs, and the ZAMOK method.
ReadWhat an AI agent harness includes and why a model can’t be evaluated alone. Learn the SBORKA method for paired testing and acceptance criteria.
ReadHow hotels can use AI for occupancy forecasting, room rates, guest inquiries, housekeeping, data, metrics, and a pilot rollout plan.
ReadLearn how real estate agencies can implement AI for leads, property matching, listings, documents, valuation, and pilot metrics.
ReadExplore practical AI use cases in agriculture, from field monitoring and disease detection to yield, irrigation, data, and pilot planning.
ReadExplore how insurers can use AI for documents, underwriting, claims, and fraud detection while managing data, explainability, and human review.
ReadLearn how restaurants can use AI for demand forecasting, purchasing, waste reduction, staffing, data, metrics, and a safe pilot.
ReadLearn how to build AI-powered fraud and anomaly detection with signals, models, metrics, human review, monitoring, and a pilot plan.
ReadLearn how businesses can use AI for dynamic pricing with data, elasticity, constraints, testing, monitoring, and risk controls.
ReadHow to launch a recommendation system for an online store: use cases, data, architecture, metrics, A/B testing, and quality control.
ReadHow to build a customer churn forecast: define churn, prepare data without leakage, choose metrics, launch retention efforts, and measure uplift.
ReadLearn how to implement AI demand forecasting with SKU and location data, promotions, inventory, time-based validation, metrics, and a pilot plan.
ReadExplore computer vision use cases in retail for shelf compliance, checkout lines, traffic flow, register exceptions, and pilot planning.
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