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How agencies are using AI to work smarter — case studies, product updates, and practical guides.
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.
Seven concrete editing techniques that make AI-generated English read like a person wrote it — with before/after examples for each. Burstiness, filler vocabulary, voice, rhythm, and em-dash discipline.
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.
Most PR teams have a media monitor and still lose first-wave citations to faster competitors. The bottleneck isn't visibility — it's the one-to-three-hour gap between seeing a story and getting a publish-ready comment in the principal's voice. Here's the tool we built to close it.
Learn how a 49-node n8n pipeline generates publication-ready media comments in 55 seconds. Architecture breakdown, real examples, and cost comparison with manual work.
How our AI case study generator cuts production time from 2 days to 30 minutes. Perplexity research, Claude AI writing, and natural, human-sounding output.
How a 5-agent AI pipeline replicates a CEO's authentic voice for Telegram blog posts — from voice analysis to cross-model humanization.
How PR agencies use n8n to automate media comments, case studies, and SEO content. Real workflows from 25+ AI agents in production at Kelva.
Why data control matters for regulated organizations and how we build self-hosted AI infrastructure on Google Cloud with LangChain, GDPR-aligned and SOC 2 ready.
Battle-tested n8n patterns we use at Kelva for building reliable AI content automation workflows.
How we approach building AI-powered products specifically for creative agencies — from problem discovery to production deployment.