Guides
Practical answers for teams putting AI to work. No hype, no tool tours, nothing we don't do ourselves.
How to actually use AI in a small business
Skip the tool tour. A practical order of operations for putting AI to work in a small team: start in chat, give it context once, make it do work, add guardrails.
What is an AI workspace?
A plain-language definition of an AI workspace, what's inside one, how it compares to a chatbot or a suite with AI added, and what one costs.
What is an AI teammate (and what isn't one)
A working definition of AI teammates: shared context, presence in the team chat, and real work output, not just conversation.
What is an AI employee?
A plain definition of an AI employee: what's actually inside one, how it's priced, the risks to know, and how it differs from an AI agent or AI teammate.
What can an AI business assistant do for a small business?
What an AI business assistant actually does in a normal week, what it shouldn't do without you, how it's priced, and how to choose one for a small business.
What is an AI chief of staff?
What an AI chief of staff actually is, what one does in a normal week, what building your own costs, and how Glitch Team Zone does the job today.
How to work with clients and vendors in your AI workspace, safely
The guest channel model: restricted rooms, no DMs, and an AI that answers guests without company data. Setups for client, vendor, and contractor rooms.
How do permissions work in an AI workspace?
What a permission model for a workplace AI has to decide, and how Glitch Team Zone handles roles, guest access, approvals, spend caps, and audit.
The best AI workspaces for small teams
A structural, honest comparison of AI workspaces for small teams: pricing model, where the AI lives, and when to pick each one, no invented rankings.
Bring your own LLM key: what it means and why it matters
A plain-language explainer on LLM keys: owning the provider relationship, a visible usage bill, per-org encryption, and why bundled AI hides the meter.
Why the group chat is the right place for AI
Separate-tab chatbots get abandoned. Putting AI in the team's group chat instead means shared answers, shared corrections, and follow-ups without re-tagging.
What to automate first in a small business
A practical order for putting AI to work: start where work repeats, keep judgment human, and let every automation earn trust before it gets more.
AI guardrails for small teams: rules, approvals, audit
The three guardrails that make AI safe to hand real work: rules in plain language, approvals where money moves, and an audit trail you can read.
Flat AI pricing vs per seat: the math for small teams
Per seat made sense when software was a tool each person used. An AI teammate does the work itself, so seat counts stop tracking value. The math, written out.
How answer engines change how customers find you
Search used to hand your customer a list of links. Answer engines hand them one answer. What that shift means for a small business, and what to do about it.
Running a client services business on AI
For agencies and client services teams: where AI fits between meetings, how client data stays walled, and why a visible work trail wins renewals.
What an AI should tell a business owner every morning
The daily digest, defined: what changed, what needs a decision, and what the AI did overnight. One readable page beats a wall of dashboards.
AI cost control: visible usage bills and cost meters
Metered AI makes owners nervous because the meter is usually hidden. The fix is structural: a visible cost meter, a hard budget cap, no markup on usage.
From group chat to operating system: the maturity path
The four stages between asking an AI questions and running a company on one: answers, work, schedules, then an operating surface. What each stage needs.
How to get your team to actually use AI
Most AI rollouts stall because the AI lives in a separate tab. Put it where the team already talks, start with one real job, and let visible wins do the selling.
How to choose an LLM solution for your business
How to choose an LLM for business work: the frontier models are closer than the marketing suggests, so context and switchability separate results, not the model pick.
AI for a business with no tech team
You don't need engineers to run a business on AI anymore. The interface is plain language now. Here's what no-tech-team businesses should look for and avoid.
An AI teammate for a small ecommerce team
What an AI teammate does for a small store: reads your Shopify and Stripe, watches ad spend, drafts the work, and reports every morning. No developer needed.
AI agents for a small business: what they actually do
What an AI agent actually is, what small businesses use them for, what one costs, the guardrails worth insisting on, and how to start with one task.
AI automation for Shopify store operations, without a developer
What AI automation for a Shopify store really does, how it fits with Shopify's own tools and Flow, what stays with the owner, and what it costs.
One shared AI that knows your business, for the whole company
Private AI tabs make individuals faster and teach the company nothing. What changes when one AI sits in the team chat and remembers for everyone.
Should you hire someone, or use AI?
The honest comparison for a small business: what a hire gives you that AI can't, what AI gives you that a hire can't, and a simple test for which you need.
You tried AI for your business and it didn't stick
Most small business owners try AI once and quietly stop. The reason usually isn't the AI. It's three structural things nobody mentions, and all of them are fixable.
Is it safe to put company data into AI tools at work?
The three questions worth asking any AI vendor about your business data, why the answers differ so much, and our own answers in full, including what we don't have.