Hermes Agent: From Chatbot Prompts to Real Workflows

By AI Advisers — a done-for-you AI and automation consultancy for UK small businesses.

The short answer

Hermes is an agentic agent: instead of returning one answer to one prompt like a chatbot, it plans a goal, uses your tools, completes a multi-step workflow, and remembers the result. Where Claude or ChatGPT reply, Hermes acts — triaging inboxes, drafting and sending replies, and finishing admin end to end, then reporting back.

TL;DR

• Chatbots answer; agents act. One-shot prompting on Claude or ChatGPT gives you text you still have to use. An agentic agent completes the whole job.
• Hermes is AI Advisers' agentic agent — it plans, uses your software, runs multi-step workflows, and remembers everything on one dashboard you own.
• The market is moving fast: Gartner expects 40% of enterprise apps to embed task-specific agents by the end of 2026, up from under 5% in 2025 (Gartner, 2025).
• Workflow redesign is the real unlock, not smarter chat (McKinsey, 2025).
• It's a jump, not magic: most agent pilots stall on governance and scope — which is exactly what done-for-you installation solves.

What is the difference between a chatbot and an agentic agent?

A chatbot is reactive. You type a prompt, it predicts a helpful reply, and the interaction ends. Close the tab and it forgets you. That is one-shot prompting: one question, one answer, and all the doing is still on you — copying the draft into your email, chasing the client, updating the spreadsheet.

An agentic agent is proactive. You give it a goal, and it reasons through the steps, uses real tools (your inbox, calendar, CRM, documents), takes actions, checks its own progress, and only comes back when the job is done. As industry coverage puts it, agentic AI is a shift "from tools that answer questions to systems that can plan, use software, coordinate tasks, learn from feedback, and move work across departments" (Generative, Inc., 2026).

Microsoft's Satya Nadella framed the moment bluntly: "We've entered the era of AI agents" (SiliconANGLE, 2025). Salesforce's Marc Benioff went further, calling agentic AI "a new labour model, a new productivity model, and a new economic model" (SiliconANGLE, 2025).

Why does one-shot prompting hit a ceiling?

Mainstream chatbots like Claude and ChatGPT are extraordinary at generating text. But for a busy business owner, the value leaks out at the edges:

• You are the integration. The chatbot can't see your inbox or send an email, so you become the copy-paste layer between the AI and your actual work.
• It forgets. Every session starts from zero. You re-explain your business, your clients, and your tone, every single time.
• It stops at the answer. A great reply is not a sent reply. The task isn't finished until something happens.

This is why adoption is broad but shallow. McKinsey's State of AI 2025 found 88% of organisations now use AI regularly, yet just 39% report enterprise-level profit impact — and high performers were roughly three times more likely than others to have fundamentally redesigned their workflows around AI (McKinsey, 2025). The lesson is clear: value comes from redesigned workflows, not better chat.

What can Hermes actually do?

Hermes is the agentic agent at the heart of AI Advisers' AI Operating System (AIOS). It doesn't just talk — it works. Give Hermes a goal and it will:

• Plan the steps needed to reach it.
• Use your tools — email, calendar, documents, CRM — with your permission.
• Execute the multi-step workflow, adjusting as conditions change.
• Remember the outcome in a persistent second brain, so next time it's sharper.
• Report back on one bright dashboard you own outright.

Crucially, Hermes is model-agnostic. It uses the best available AI brain for each job — including Claude and GPT models under the bonnet — so you're never locked into one provider or left behind when a better model launches. You get the intelligence of the frontier labs, wired into workflows that actually finish.

Chatbot vs agentic agent: at a glance

| | Chatbot (one-shot prompting) | Hermes (agentic agent) |

| Input | A single prompt, A goal or standing instruction | | Behaviour | Reactive — answers, then stops, Proactive — plans, acts, verifies | | Tools | None; you copy-paste, Uses your inbox, calendar, CRM, docs | | Memory | Forgets after each session, Persistent second brain | | Output | Text you still have to action, A completed task | | You are… | The one doing the work, The one reviewing the work |

What does a real Hermes workflow look like?

Take a common one — lead response. On a chatbot, you'd paste in an enquiry, ask for a reply, copy the answer, tweak it, and send it. Five minutes and several tabs, if you catch it in time.

With Hermes, it's a standing workflow: a new enquiry arrives, Hermes reads it, checks your availability and past notes on that contact, drafts an on-brand reply, and — with your rules in place — sends it and logs the lead, all within minutes. Speed matters here: replying within the hour rather than the next day can convert dramatically more leads. You didn't touch it; you just saw it done.

That's the shift from one question, one answer to one goal, one finished job — the difference between an AI that chats and an AI that runs your admin while you do the work only you can do.

Is agentic AI actually ready — or is it hype?

Both, honestly — and that's the point of doing it properly. The demand is real: in Gartner's 2026 CIO survey, only 17% of organisations had deployed AI agents, but more than 60% expected to within two years — the steepest adoption curve of any emerging technology measured (Gartner via Joget, 2026).

But so is the failure rate. Gartner also predicts that over 40% of agentic AI projects will be scrapped by 2027, largely due to unclear scope, weak governance, and escalating costs (Gartner via Joget, 2026). Agents fail when they're bolted on without redesigning the workflow, without guardrails, and without someone to own the setup.

That gap is precisely what AI Advisers exists to close. We install Hermes done-for-you, tailor the workflows to how your business actually runs, set the permissions and guardrails, and explain it all in plain English — so you land in the successful minority rather than the abandoned 40%.

Who is Hermes for?

Hermes is built for UK small-business owners and solopreneurs — trades, clinics, dental and law firms, salons, estate agents and the like — who know AI could transform their business but have neither the time nor the desire to wrestle with the tech. If you're drowning in admin, losing leads to slow replies, or juggling twenty tabs, an agentic agent that acts is the upgrade a chatbot can't be.

FAQ

Is Hermes just a wrapper around ChatGPT?

No. Hermes uses frontier models (including GPT and Claude) as interchangeable "brains", but adds the parts a chatbot lacks: planning, tool use, workflow execution, persistent memory, and a dashboard you own.

What's the difference between agentic AI and automation?

Traditional automation follows rigid, pre-set rules and breaks when things change. An agentic agent reasons toward a goal and adapts its steps, so it handles messier, real-world tasks that fixed automations can't.

Will Hermes send things without my approval?

Only within the rules you set. You decide what Hermes does autonomously and what it drafts for your sign-off. Guardrails and permissions are part of the installation.

Does my data stay private?

Yes. The AIOS is installed to run on your own machine, so your client data and second brain stay on-device — not rented back to you as a subscription.

Do I need to be technical to use it?

No. AI Advisers installs and tailors Hermes for you and explains it in plain English. You talk to it like a colleague; there's no code and no jargon.

How is this different from paying an agency every month?

You own your AI Operating System outright, rather than renting outcomes forever. We install it, hand it over, and it gets sharper every day it works for you.

The bottom line

Chatbots proved AI could think. Agentic agents prove it can work. The businesses pulling ahead aren't the ones with the cleverest prompts — they're the ones redesigning their workflows around agents that plan, act, and remember. Hermes is that agent, installed for you and explained in plain English.

Ready to move from prompting to real workflows? The fastest first step is to see which of your workflows an agent should run first.

→ Get your free AI Workflow Blueprint — six questions, a personalised plan — or book a Hermes demo and watch your admin get done live, on one screen you own.

Educational content, not legal or financial advice. Figures are sourced as of July 2026; agentic AI is a fast-moving field, so re-check time-sensitive statistics before relying on them.

References

1. Gartner — "Gartner Predicts 40% of Enterprise Apps Will Feature Task-Specific AI Agents by 2026, Up from Less Than 5% in 2025" — 26 Aug 2025 — https://www.gartner.com/en/newsroom/press-releases/2025-08-26-gartner-predicts-40-percent-of-enterprise-apps-will-feature-task-specific-ai-agents-by-2026-up-from-less-than-5-percent-in-2025
2. McKinsey & Company — "The State of AI in 2025: Agents, Innovation, and Transformation" — Nov 2025 — https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
3. Joget (citing Gartner & IDC) — "AI Agent Adoption in 2026: What the Analysts' Data Shows" — 2026 — https://joget.com/ai-agent-adoption-in-2026-what-the-analysts-data-shows/
4. Generative, Inc. — "Agentic AI in 2026: How AI Went From Chatting to Doing" — 2026 — https://www.generative.inc/agentic-ai-in-2026-how-ai-went-from-chatting-to-doing
5. SiliconANGLE — "Nadella vs. Benioff: The Real Story Behind AI's Agentic Future" — 1 Mar 2025 — https://siliconangle.com/2025/03/01/nadella-vs-benioff-real-story-behind-ais-agentic-future/

Access date: 3 July 2026. Gartner and McKinsey figures verified via the official press release and multiple corroborating trade-press reports; direct fetch of both origin pages was bot-blocked at time of writing.