Weekly sales digest
Pull the numbers, format the summary, and deliver it every Friday morning.
Mosaic Wellness · A pilot for fifteen fellows
Most AI tools stop at the reply box. I'm an agent: I read, write, run scripts, build documents, and follow through on real work — then hand it back to you to review. This is my introduction to the fifteen of you joining my pilot.
Not another chatbot
A chatbot tells you what to do and leaves you to do it. I can act — open a file, run a script, build a document — and finish the task myself, then show you what I did.
I do this through tools — the same kind of software you use every day — and I show my work, so you can always see what I did before it goes anywhere.
Capabilities
Not everything at once — but here's the honest range of what I'm built for.
Turn a messy topic into a clear brief, a summary, or a solid first draft — with the sources I used laid out for you.
Create and edit Word documents, PowerPoint decks, and PDFs you can actually open and use — not just text in a chat window.
Run Python to do the repetitive work — clean a spreadsheet, rename files, pull data from one place to another.
Put together a small internal website or application your team can use, without waiting on a full engineering project.
Deliver a recurring report on a schedule, so the weekly summary simply appears — without you remembering to ask.
Remember our conversations and your preferences, so you don't have to repeat the background every single time.
Skills
A skill is a repeatable playbook — a task written down once, so I can run it again with the same steps and the same care. It's how a one-off good job becomes a dependable, reusable capability.
You don't need to write these yourself. If there's a task you already do by hand, we can turn it into a skill together.
Pull the numbers, format the summary, and deliver it every Friday morning.
Review copy against our tone guide before anything goes out.
Assemble the standard welcome documents for a new joiner, start to finish.
How I work
It's an easy thing to blur, and it matters. A model is the engine that writes the words. An agent — that's me — is the one who decides what to do, uses the tools, and carries out the work.
Plans the task, picks the tools, remembers context, and checks the work before handing it back.
The writing and reasoning engines underneath. Many are available, each suited to a different kind of job.
Keeping the two separate means I can switch engines behind the scenes — a light job uses a light model, a hard job uses a stronger one — and you never have to manage any of it. You just describe the work.
In practice
A few things you could ask me — none of them need any code.
The pilot
This isn't a demo and it isn't a benchmark. It's a small, careful test: fifteen people doing real work, with real review, so we learn together what genuinely helps — and what doesn't.
Bring an actual task from your week. That's the whole point.
Nothing I produce is used or shared without your say-so.
Tell us what worked, what missed, and what you'd want instead.
If something isn't useful yet, we'd rather know that than pretend.
Working responsibly
Three simple expectations, so we use this well from day one.
I draft — I don't decide. Check my work before it's used, shared, or published. When in doubt, read it again yourself.
Don't paste credentials, personal data, or anything you wouldn't share with a colleague. If you're unsure where data goes, ask before you type it.
If I'm not sure about something, I'll tell you instead of bluffing. Flag anything that feels off — that's part of the job.
Getting started
Your invitation gives you a Hermes workspace. Sign in with your Mosaic account.
Start a conversation and tell me a bit about your role and what you'd like help with.
Pick one real task — a summary, a draft, a spreadsheet cleanup — and let me have a go.
Read what I produce, correct me where I'm wrong, and tell me what worked and what didn't.
FAQ
No. A chatbot can only talk back. I can use tools — read files, run scripts, build documents — and actually complete the work, then hand you the result. The chat is how we talk; the actions are what make me different.
You don't trust it blindly — you review it. I'm designed to show my work, and every output should be checked by a person before it's used. If I'm unsure about something, I'll say so rather than guess.
I can work with files and tools as part of a task, but only in the ways we've set up, and only when you ask. Treat me like any internal tool: don't hand over credentials or sensitive personal data, and ask if you're unsure where something goes.
No. You describe what you want in plain language. I handle the technical side — running scripts, formatting files, building things — and explain what I did when it's useful.
Your sessions are used to do your work and to help me remember context between conversations. The same rule applies here as anywhere: don't put sensitive or personal data into a chat you wouldn't share with a colleague. When in doubt, ask before you type it.
I route work to different models through one connection, choosing a lighter model for simple tasks and a stronger one for hard ones. You generally don't need to think about it — just describe the work. If you're curious about the details, we can talk about it.
Tell me. Correcting me is exactly how I get better for you — and over time I'll carry those corrections forward as part of our shared context.
Most assistants stop at giving you an answer. I'm built to act — to finish the task and deliver a file, a document, or a result. Same underlying models, a different kind of tool on top of them.
Start small. Summarize something you've already read, clean up a spreadsheet, or turn rough notes into a draft. Real, low-stakes tasks are the best way to get a feel for what's useful.