01 / FOUNDATION
Leading AI models
Compare frontier, open-weight and specialist models by capability, cost, context, privacy and operational fit.
Compare the models →The business AI field guide / 2026
Separate the useful AI from the expensive theatre.
Independent, practical guidance for teams choosing models, building agents and automating real work—without outsourcing their judgment.
Five essential briefings
Build a stack that earns its place.
Start with the decision you need to make, not the technology vendors want to sell.
02 / ORCHESTRATION
Intelligent agents
Understand tools, memory, planning loops and the controls that keep autonomous workflows reliable.
Design better agents →
03 / DELIVERY
Agentic services
Decide when to buy managed AI outcomes, commission a custom system or build an internal capability.
Assess service options →
04 / EXECUTION
Automation platforms
Compare no-code connectors, RPA and developer-first orchestration for dependable production workflows.
Choose a platform →
05 / HORIZON
Emerging AI tools
Track multimodal assistants, coding copilots, synthetic media and private on-device intelligence.
Scan the horizon →A better buying principle
Automate the bottleneck, not the org chart.
The strongest AI projects begin with a measurable constraint: response time, backlog, error rate or cost per transaction. Map the work, establish a baseline and keep a human owner accountable for the result.
Read the delivery guide