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Notes on dependable automation, production AI systems, and practical operating lessons.
A five-criterion rubric for picking which workflow to automate first: score thresholds, a worked example, and the baseline to measure before you build.
What n8n is, how its pricing compares with Zapier and Make, and what 14 production workflows taught us about automation that survives client volume.
A category-by-category review of off-the-shelf AI writing tools through the agency lens: where each genuinely wins, and where multi-client volume breaks it.
Development is the line item everyone prices. The four ongoing costs that decide whether a built AI tool survives its first year rarely make the quote.
Every AI vendor's demo is clean by design. Here is the working checklist for evaluating one at the volume, complexity, and stakes of real agency production work.
Build vs buy is a false binary. An agency that has bought, built, and assembled AI tooling prices all three paths honestly — and shows the framework that holds up in production.
The full production pipeline for an agency case study with AI: seven stages from raw source-gathering to a finished draft in Google Docs. What the model does, what the editor does, what n8n collects — no marketing fog.
A demo generates a plausible quote in a sunny scenario. Production is what your PR team relies on Tuesday at 2pm under a real deadline. Here's the engineering gap between the two — voice fidelity, fact-grounding, latency, edge cases, and the unglamorous reliability work.
Not 'which tool is better,' but 'which tool covers which scenarios in an agency's day-to-day.' Twelve comparison parameters, a working breakdown of typical workflows, and the architectural consequences of the choice.
What actually sits behind 'self-hosted AI': four layers of the stack, GPU instance selection, the choice between a managed API and self-hosted open weights, and the OPEX economics. An architectural breakdown without the marketing fog.
A practical guide for agencies handling client data under GDPR: what counts as personal data, lawful basis, DPAs with AI vendors, data residency and sub-processors, self-hosting vs managed APIs, and a do/don't list you can act on today.