Explainers
Collections
Penetrating the impenetrable - curated explainers for complex research in strategy, leadership, agentic AI, infrastructure, and enterprise architecture.
4 explainers
AI Adoption
AI adoption case studies across industries, practical rollouts, operating models, measurable outcomes, and the lessons teams can reuse.
Latest
- Enterprise AI adoption: Yu (2026)
- Enterprise Agent Governance Maturity Model
- Agentic coding and returns to expertise: Hitzig (2026)
6 explainers
AI Engineering
AI in software teams, empirical SE paradigms, agentic coding workflows, agent testing, and org-level AI transformation.
Latest
- AI coding assistants: Vella (2026)
- Self-evolving agent harnesses: Lin et al. (2026)
- AI Coding Productivity: Demirer (2026)
9 explainers
AI Safety
Risk, governance, and security for agentic systems, from international safety reports to MCP security, enterprise benchmarks, and financial model risk.
Latest
- Measuring AI agent autonomy in practice: McCain (2026)
- AI Agent Security: Fokou (2026)
- Agentic AI for Financial Modeling and Model Risk Management: Okpala (2025)
2 explainers
Organisational Management
How management theory has evolved over the decades, where it sits today, and what comes next, from hierarchies and process to emergence, complexity, and the org designs of the near future.
Latest
- IT project cost risk: Flyvbjerg (2026)
- Organisational Emergence: Leite & Audretsch (2026)
14 explainers
AI Capabilities
Measuring and scaling LLMs, inference laws, reasoning limits, compute-accuracy frontiers, and operational performance metrics.
Latest
- Protein structure prediction: Jumper (2021)
- AI's Physical Limits: Litowitz (2026)
- Vector Quantization: Zandieh (2025)
1 explainer
Climate
Climate science as a forecasting problem, where model predictions meet the observational record, global temperature tracking, forecast skill and bias, and what a quarter century of annual predictions reveals about the limits of what we can see coming.
Latest
- Annual Global Temperature Forecasts: Folland (2025)
7 explainers
AI Architecture
Designing for agents, orchestration patterns, multi-agent scaling, and software architecture for AI-native and GenAI-native systems.
Latest
- EPIC: Position-Independent KV Caching: Hu et al. (2025)
- Claude Code Architecture: Liu et al. (2026)
- Agentic AI: Arunkumar (2026)
3 explainers
AI Strategy
Positioning for the AI era, adoption roadmaps, state-of-AI benchmarks, and strategic transformation frameworks.
Latest
- AI Automation in Labor Markets: Mertens et al. (2026)
- AI and Agile Research Roadmap: Zhang (2025)
- Enterprise AI Adoption: Singla et al. (2025)
3 explainers
Quantum Computing
Where quantum stops being magic and starts being engineering, error correction codes, qubit overhead, and the hardware compromises behind fault-tolerant memory.
Latest
- Benchpress: Nation et al. (2025)
- Fault-tolerant quantum computing: IBM (2025)
- Fault-tolerant quantum memory: Bravyi (2024)
2 explainers
Token Cost Of Ownership
The real economics of running LLMs in production, inference benchmarks, throughput vs accuracy trade-offs, on-prem break-even analysis, and the hidden line items behind token pricing at scale.
Latest
- AI Token Futures Market: Xing (2026)
- InferenceMAX: Chen (2025)