AI Agents

Where We're Going: Building AI Teams for 2026

Software now has agency and personality.

The paradigm shift isn't about AI doing more work—it's about AI becoming a capable colleague who understands context, takes initiative within boundaries, and can be trusted with increasing autonomy.

The Evolution

2023-2024
Prompt Engineering
→
2024-2025
Context Engineering
→
2025-2026
Agent Orchestration

Explore

Personal Systems

Level 1

How I orchestrate AI agents for my own productivity

  • • Claude Code orchestration
  • • MCP-powered workflows
  • • Trust patterns in practice

Learning Path

Level 2

For curious professionals ready to build their own agent systems

  • • Agent fundamentals
  • • Progressive trust building
  • • First agent projects

Patterns Library

Reference

Reusable patterns for multi-agent orchestration

  • • Multi-agent orchestration
  • • Human-in-the-loop gates
  • • Scope lock systems

Trust Engineering

Advanced

The key differentiator: calibrating how much to trust your agents

  • • Trust levels framework
  • • Deliberative refinement
  • • When trust fails

The question isn't IF you're using agents—

It's how much you TRUST them.

← Back to AI Journey (Where We Came From)