Frequently asked questions

Everything Agentic is a daily publication and practice focused on artificial intelligence and agentic technology. We discover, simplify and share the breakthroughs that matter — models, autonomous agents, tools, research and real-world deployments — and we help organisations act on them through consulting, development, training and research.

Agentic AI refers to systems that do more than answer questions: they plan, use tools, take multi-step actions and pursue a goal with limited supervision. A chatbot drafts an email; an agent researches the prospect, drafts the email, logs the activity in your CRM and schedules the follow-up.

No. Everything is written for operators — founders, executives, managers — in plain English. We include technical detail only when it changes a decision you have to make.

Daily intelligence briefings and editorial, AI and agentic strategy consulting, automation and agent development, training and workshops, custom research, and a small number of clearly labelled sponsorships and partnerships.

Usually with a readiness and opportunity audit. We map your current workflows, find where time and money leak, and rank candidate use cases by effort versus return. Most teams leave with two or three automations worth building first — and a clear list of things not to bother with yet.

Repetitive knowledge work with clear inputs and outputs: enquiry triage, prospect and market research, document summarisation, reporting, data reconciliation, content drafting, CRM hygiene, scheduling and first-line support. We design each one with human review where the stakes justify it.

It depends on scope. A focused audit or workshop is a fixed fee; agent development is scoped per workflow; research is priced per brief; and retained advisory runs monthly. We always give a written scope and price before any work starts.

A first useful automation usually lands in two to six weeks from kick-off, depending on data access and integration complexity. We start with one workflow, prove the value, then expand.

We work under NDA by default, use least-privilege access, prefer vendor configurations that exclude your data from model training, and document exactly what data moves where. If a use case cannot be made safe, we say so and propose an alternative.

Send us a note about your situation from the contact page. Tell us your industry, team size and the workflow that frustrates you most, and we will reply with a candid view of whether — and how — we can help.