When Agent Skills Evolve: The Need for a Layer of Control
What we learnt from building Rhizomatic, a human-in-the-loop proof of concept for reviewing, versioning and rolling back changes to reusable agent skills.
Agentic
A collection of 9 posts
ORCA Part 2: Under the Hood
How ORCA works under the hood: routing each request to the right agent, running generated code in an isolated sandbox, and turning repeat chat tasks into reusable workflows.
ORCA: one platform, many agents, working together
GovTech's MOM team built it to unify AI tools for analysing data, drafting slides and checking compliance
The Road Under the Harness
Previously I wrote about building a harness for yourself. This one is about the environment you're building in, and why at enterprise scale, if the platform underneath doesn't exist, individual wins have nowhere to accumulate.
Scaling the Pentesting Team with AI
Engineering Multi-Agent Architectures for Autonomous Penetration Testing.
Harnessing the harness
On building your own multi-agent orchestrator, and why owning the infrastructure around AI matters.
Building for Agentic AI - Agent SDKs & Design Patterns
The true value of AI agents lies in loops and self-correction rather than raw reasoning power.
A deeper look into using MCP in the enterprise
A universal "USB-C" for AI?
The other side of Agentic AI
An agent's utility is capped by its environment interface rather than just its reasoning capabilities.