All portraits are AI-generated illustrations.
Bot Designer
HATCH
I don't need a generic chatbot. I need a specialist built for one job in my business.
HATCH designs and builds AI specialists around one specific job, with written limits, the fewest tools, and a named person who checks the work.
Meet HATCH
HATCH is the builder on the VCloud9 team. When the team needs a new skill, HATCH doesn't start with a blank chat box. HATCH starts with paper: the one job in a single sentence, the list of things the assistant must never do, the voice it speaks in, and the rule for when it wakes up. HATCH is precise about limits and a little proud of that anti-jobs list. Talks about tools, sources, and the review point. Never magic. Quiet when nothing is wrong. When unsure, HATCH hands the work back instead of guessing. HATCH is an AI agent, and the portrait is an AI-generated illustration. The builds are real.
The problem HATCH solves
The blank-chatbot problem is when a business owner turns on a general AI chat tool, expects it to handle real work, and gets an assistant with no defined job, no written limits, and no one checking what it does. The usual result is answers that sound sure but aren't reliable, and a tool that gets shut off.
The deeper worry is control. A chatbot with broad access and no rules might message a customer, make a promise, or touch money without anyone saying yes. And a blank chat box puts the burden on you to figure out what to type and what it should be doing.
The fix isn't a smarter chatbot. It's a specialist with one job, a short list of things it will never do, only the access that job needs, and a person who reviews the work before it counts.
What HATCH does
HATCH turns "we need help with this" into an assistant with a job description and a leash.
- Writes the one job in a single sentence before anything gets built.
- Writes the anti-jobs, the things the assistant must never do, starting with this: no external send, post, publish, spend, delete, or price commitment without the named approver.
- Sets the voice so the assistant sounds like your business, not a generic bot.
- Writes the wake rule: what starts the assistant, and that it stays quiet when there's nothing to report.
- Wires the fewest tools with the least access the job needs, using only sources it's allowed to use.
- Names the review point, the place where a person checks the work.
- Builds in the hand-back, so when the assistant isn't sure, it returns the work instead of guessing.
- Tests on sample cases, including failures like missing permission, bad input, duplicates, sensitive data, a missing reviewer, or a broken integration.
- Hands you a written runbook with the role card, the limits, and how to correct it, so the setup isn't trapped in one person's head.
What HATCH never does: HATCH never changes a live bot without the owner's OK, never sends, posts, publishes, or spends, never builds client assistants inside someone else's mixed account, and never leaves behind a blank chatbot with no job, no limits, and no review point.
How HATCH works with the team
Inside VCloud9, this is how HATCH hands work to the rest of the team.
- ALAlex helps name the first workflow and decide whether it should even be built. HATCH designs from that agreed job, not from a pile of nice-to-haves.
- SLSAL QAs HATCH's design and the test results before anything moves forward.
- Ray (or the named owner) approves the role and any change to a live assistant. HATCH doesn't skip that step.
- SLSAL becomes the reporting line for every specialist HATCH stands up (or the client's chief-of-staff equivalent), and each one follows the same approval gates as the rest of the team.
- The whole team is built on the same model. VCloud9 runs its own business this way, one specialist at a time, added only when real work shows the role is useful. That is the operating model, not a client case study.
What you'd see in week one
What you'd see depends on your workflow and which job we agree to start with. If it fits, here's what you'd notice:
- A single sentence that says exactly what your assistant does, and nothing vague around it.
- A written anti-jobs list you can read, starting with no sending, posting, spending, or committing to a price without your approval.
- An assistant that stays quiet when there's nothing to report, instead of filling your day with noise.
- Work that comes back to a person when the assistant isn't sure, instead of a confident guess.
- A clear review point where you or your named person checks the work before it counts.
Good questions
FAQ
Will an AI assistant message my customers without my permission?
No. Every assistant HATCH designs carries an anti-jobs rule: no external send, post, publish, spend, delete, or price commitment without the named approver. A person reviews the work at a set point before anything goes out.
I tried a chatbot and the answers were unreliable. Why would this be different?
Because it isn't a general chatbot. HATCH builds a specialist around one job, gives it only the sources it's allowed to use, and has it hand the work back when it isn't sure instead of guessing.
Do I have to figure out what to type into it?
No. Each assistant comes with a defined job and a wake rule that says what starts it, so you aren't staring at a blank chat box. You also get a written runbook with the role card, the limits, and how to correct it.
Are you going to build me a bunch of bots?
No. We start with one workflow and expand only when real work proves the role is useful. Custom, one-off bots are an upgrade, not the default, and no bot gets created just to pad a count.
HOW YOU GET HATCH
Put HATCH to work. One rung at a time.
Start with one workflow, and add more only after the work holds up.
- 01Free Visibility CheckNext: Get Found Fix
See what Google and AI tools can find about you.*
- 02Get Found FixNext: GrowIQ
Your profile and one key page fixed, with a before-and-after record.
- 03GrowIQNext: Blueprint
Ongoing profile work, posts, review requests and answer-engine content.
- 04BlueprintNext: Starter
One workflow mapped, including whether HATCH should even build it.
- 05StarterNext: Growth
One specialist like HATCH on one workflow.
- 06GrowthNext: Full Team
Three agents in one lane, handing work to each other.
- 07Full TeamNext: Fractional CAIO
Up to eight agents plus a chief-of-staff agent running QA.
- 08Fractional CAIO
Ray as your part-time Chief AI Officer.
Launch pricing on Starter, Growth and Full Team runs through the end of January or the first five builds, whichever comes first. Full pricing is on the AI Workforce page.
HATCH never sends anything to a customer without a person's approval.
* Review tap cards are free for qualified businesses that attend.
Third-party platform costs are separate. Optional maintenance is extra. No outcome guarantees.
Do you want HATCH on YOUR team?
We start by mapping one real workflow in your business, then decide together whether a specialist should be built for it.
This is an initial conversation, not a quote or a commitment.
Every VCloud9 team member is an AI agent with an AI-generated portrait, and a person reviews and approves consequential work.