The argument in one line.
Hermes turns your existing AI subscription into a persistent business operating system that gets sharper every time you use it, eliminating the manual upkeep that causes most AI setups to fail.
Read if. Skip if.
- You have organized business context for AI but still re-explain your situation every new session.
- You run a one-person or small-team online business and want AI that accumulates knowledge about you rather than resetting.
- You live in Obsidian, Slack, or Telegram and want AI that works inside those tools.
- You want AI to handle multi-step projects autonomously without micromanaging each step.
- You want a browser-based SaaS solution -- Hermes requires installing and running a local agent via terminal.
- You are not already paying for a Claude, GPT, or similar AI subscription.
The full version, fast.
Most people set up AI with business context once, then end up babysitting it -- re-feeding information, reminding it what they want, doing their own upkeep. Hermes is a free local agent that eliminates that loop: it builds memory as you work, separates verified evidence from unverified claims, and executes full multi-step projects autonomously via Slack or Telegram. Seven use cases covered: turning one idea into a month of content in 30 seconds, pricing a new offer through competitive research, running Kanban projects end-to-end, acting as a strategic advisor with full business context, building a personal Obsidian dashboard, running evidence-aware research, and delegating tasks from your phone to come back finished. Core argument: most AI setups fail not because the AI is weak but because memory resets every session -- and Hermes is the persistent memory layer that fixes that.
Chat with this breakdown — free.
Sign in and you get 23 free chat messages on us — ask for the hook, quote a framework, find the exact transcript moment, generate a markdown action plan. Bring your own key when you want unlimited.
Create a free account →Where the time goes.

01 · Why You Are Still Babysitting Your AI
Problem setup: even after organizing context, you are still doing the upkeep. Hermes introduced as the agent that takes that job off your plate.

02 · Use Case 1: One Idea to a Month of Content
Demo in Slack: one sentence prompt returns title options, YouTube description, LinkedIn post ideas, newsletter section, and CTA in under 30 seconds. Works because Hermes knows your business.

03 · Use Case 2: Offer Research and Pricing
Hermes analyzes two competitor URLs, compares to existing offer, returns tier structure, ICP, and executive recommendation -- tailored, not generic.

04 · Use Case 3: Self-Managing Kanban Projects
Hermes Kanban plugin demo: drop a goal into Triage, Hermes creates sub-tasks, moves them through columns, logs outputs to Obsidian, all without manual project management.

05 · Use Case 4: Always-On Strategic Advisor
What are my top 3 priorities this week? Hermes reads files and returns context-aware priorities including scheduling advice based on known preferences and constraints.

06 · Use Case 5: Custom Business Command Center
Hermes builds a full Obsidian Kanban dashboard from scratch -- project pages, tasks, status, due dates, notes, links -- all generated via research, not manual entry.

07 · Use Case 6: Evidence-Aware AI Researcher
Researcher role separates verified evidence from unverified claims, writes findings to Obsidian so every future AI session starts from a smarter base.

08 · Use Case 7: Phone-to-Desk Async Delegation
Prompt from Telegram on the phone, walk away, return to a finished newsletter draft in your voice with subject lines and preview text already written.
Lines worth screenshotting.
- Hermes runs on whatever AI subscription you already pay for -- it is an agent layer that adds memory and autonomy, not another monthly fee.
- Most AI setups fail not because the AI is weak but because memory resets every session -- persistent memory is the missing infrastructure.
- When Hermes does research, it tracks evidence vs. claims separately; AI that summarizes confidently can make weak signals sound certain.
- The value of an AI research session is not the summary you get today -- it is that tomorrow your AI starts from a smarter baseline.
- Asking a memory-aware agent your weekly priorities produces context-specific output; asking a blank AI produces generic advice.
- Dropping a project goal into Hermes Kanban means sub-tasks, sequencing, and execution all happen without you project managing.
- Delegating from your phone and returning to finished work at your desk is what makes an AI agent feel like a team rather than a tool.
- A 30-second prompt to a memory-aware agent outperforms a two-hour AI session that forgets everything when you close the tab.
- The agent builds shortcuts from the way you work -- so it does not just know your business, it gets better at running parts of it over time.
- Most entrepreneurs use AI like a slot machine: one prompt, one answer, move on. An operating system is what replaces that pattern.
What persistent AI memory actually changes.
The difference between AI that helps once and AI that compounds is not the model -- it is whether the system remembers what it learned about you.
- Organizing your business context in a structured folder (voice, audience, offers, ICP) is the required foundation -- without it, every AI response is generic even when the model is powerful.
- A memory-aware agent changes the ROI of research: findings written to a persistent vault make every future session smarter, so value compounds rather than evaporating when you close the tab.
- Separating verified evidence from unverified claims in AI research prevents confident-sounding summaries from overstating weak signals -- a distinction that matters most for business decisions.
- Delegating to an agent that knows your business means giving a sentence of context instead of a paragraph of background every time -- the setup cost is paid once, not per session.
- The strategic advisor use case works because the agent already knows your constraints (schedule, priorities, goals) -- output quality is a direct function of accumulated context.
- Running projects through a Kanban-style agent loop turns a single goal statement into a finished deliverable without micromanagement -- the agent creates sub-tasks, sequences them, executes, and logs outputs.
Terms worth knowing.
- Hermes Agent
- A free open-source AI agent that runs locally, connects to your existing AI subscription, and builds persistent memory about your business as you work.
- Information Hierarchy
- A structured folder containing all business context -- voice, audience, offers, ICP, pricing -- that Hermes reads from to produce business-specific rather than generic outputs.
- Evidence Verification Queue
- A Hermes researcher output that separates confirmed facts from unverified claims, preventing AI from presenting weak signals with the same confidence as proven data.
- Operator Brief
- The summary Hermes generates after a research run: what was found, what is verified vs. unverified, content opportunities, and recommended next actions.
- ICP
- Ideal Customer Profile -- the specific description of the customer most likely to buy and benefit from an offer, including demographics, pain points, and buying triggers.
Things they pointed at.
Lines you could clip.
“Hermes doesn't sit around waiting for you to feed it.”
“You're not the project managing anymore. You're just saying what you want done.”
“Most people use AI like a search box. I want something different. I want my business to get smarter over time.”
“Tomorrow's AI for me works smarter than today's version.”
“Most entrepreneurs are using AI like a slot machine instead of building an actual operating system.”
Word for word.
Don't just watch it. Burn it in.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The bait, then the rug-pull.
You did the work. You built the folder. You wrote out your offers, your voice, your audience -- all so your AI would finally have the context it needs. And it helped, for a session. Then you opened a new chat and started over. Rick Mulready argues that organizing your business for AI was the right instinct, just the wrong layer -- and that Hermes is what plugs the gap.
Named ideas worth stealing.
The 7 Hermes Use Cases
- Turn One Idea into a Full Content Machine
- Build and Price Your Next Offer
- Self-Managing Projects on Autopilot
- Your AI Strategic Advisor
- Build a Business Command Center
- AI Research With Memory
- Delegating Work From Your Phone
Seven concrete use cases for Hermes shown in the video, from content creation to async delegation.
Evidence vs. Claims Separation
The Researcher role tracks what has been observed and verified separately from what is merely claimed, preventing AI from presenting weak signals with unwarranted confidence.
Information Hierarchy
A structured folder on your computer with all business context that Hermes reads from. The foundation that makes every Hermes output business-specific.
How they asked for the click.
“I've linked to it in the description below. You can go ahead and download that.”
Soft CTA to a Kit download page with all prompts from the video. Also mentions the AI Playbook Skool community. Lead magnet first, community second. No hard sell.







































































