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Resources

AI playbooks, checklists and implementation guides from our own practice. Free to read and download.

Playbook

  1. Playbook

    AI-Assisted Authorised Penetration Testing

    How we use LLMs and agents inside scoped security work - and the human gates that keep it authorised testing, not unsupervised scanning.

Blueprint

  1. Blueprint

    The Self-Hosted AI Stack

    Private inference, agent memory and assistants on your own Kubernetes. Data sovereignty by architecture, not by policy - the stack we run ourselves.

Field guide

  1. Field guide

    AI Workloads on Kubernetes and Talos

    Scheduling, resource limits, model serving and observability for LLM and agentic workloads on an immutable Linux platform.

Checklist

  1. Checklist

    Agentic Engineering Standards

    The discipline sheet for teams letting AI agents write code - the same rules we apply to our own repositories every day.

Runbook

  1. Runbook

    AI-Assisted Incident Response

    First-response patterns: log triage, runbook augmentation and hypothesis generation - plus the points where a human must decide.

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