Month: December 2025
Prompt Engineering: Foundations for Reliable Results — Systems, Workflows, and QA for Production LLMs
A systems-focused guide to prompt engineering that prioritizes reliability, repeatability, and quality control. Learn core principles, a recommended prompt structure, a step-by-step PromptOps workflow, and concrete QA and failure-mode checks backed by industry guidance and tooling.
Engineering Agents: Tools, Memory, and Reliability — Practical Architectures and Trade-offs
A practical, evidence-based guide for engineering agents that use tools, long-term memory, and production reliability patterns. This article compares RAG and fine-tuning, describes memory architectures, tool orchestration and sandboxing, and gives testing and monitoring best practices grounded in papers and vendor docs.
How to Sell AI Templates and Prompt Packs: Business Models, Costs, and a Practical Launch Plan
A pragmatic guide for freelancers, product builders, and agencies who want to sell AI templates and prompt packs responsibly. Covers business models, tooling, pricing, API cost math, legal and platform risks, timelines, and the measurable metrics you need to validate ROI before you scale.
AI in HR: Practical Workflow for Hiring, Onboarding, and People Ops Implementation
A practical, step-by-step guide to applying AI in HR for hiring, onboarding, and people operations. Learn what problems AI solves, an actionable workflow, tools and prerequisites, compliance and bias controls, common mistakes, and clear FAQs with evidence-backed sources and vendor examples.
AI for Product Teams: A Practical Workflow to Turn Research into a Roadmap
A step-by-step, evidence-based guide showing product teams how to use AI to synthesize research, prioritize opportunities, and produce a justifiable roadmap. Contains concrete workflows, tool choices, example prompts, risks, and checklists for implementation.
AI consulting high-value offer design: build profitable, compliant offers for enterprise clients
A practical guide for consultants and agencies designing high-value AI offers: choose the right business model, scope and price productized services, estimate tooling and hosting costs, manage compliance (EU AI Act, NIST), measure ROI, and avoid common risks when moving pilots to production.
AI and Information Quality: How Generative Systems Are Changing What We Trust and Why It Matters
Generative AI is reshaping how people encounter facts, news, and creative work. This evidence-focused guide explains what’s changing in information quality, what people report as benefits, documented risks (with sources), who is most affected, and practical steps readers can take to evaluate and use AI responsibly.
Responsible AI Operations: Governance That Works — Practical Guidance for Compliance and Oversight
A neutral, evidence-based guide to Responsible AI operations that summarizes international standards, regulator guidance (EU, UK, US, Singapore), and practical controls organisations can implement. Focused on governance, documentation, risk management, and realistic compliance steps — not legal advice.
How to Choose LLM Platforms in 2026: Practical Criteria, Trade-offs, and Alternatives
An evidence-based guide to evaluating LLM platforms in 2026. This article explains what LLM platforms do (and don’t), key features and limitations, pricing and security considerations, reliability pitfalls, and when to pick alternative solutions. Includes vendor facts and third-party benchmark context to help procurement and engineering teams make realistic comparisons.
RAG tooling: Search + LLM Done Right — Practical review and comparison
A practical, evidence-based review of RAG tooling (search + LLM) for engineers and product teams. This article explains what RAG tooling delivers, key features and limitations of major options (Pinecone, Weaviate, Chroma, Qdrant, Milvus), pricing and compliance trade-offs, reliability pitfalls, and when to pick alternatives. Sources and changelogs cited.