Resources
Guides to the agent era.
Plain-language reading on what agentic software is, how to run a business with an agent, and why open beats locked-in.
Reading
Start anywhere.
How to run your business with an AI agentA practical look at delegating real operational work to an AI agent: what it can run, how to keep control with permissions and budgets, and how to start safely.
Bring your own agent: why open beats locked-inWhy connecting the AI you already use, over an open protocol, beats a vendor-locked assistant: choice, capability, governance, and staying on the frontier.
What is the Model Context Protocol (MCP)?A plain-language explainer of the Model Context Protocol (MCP): the open standard that lets AI agents connect to and operate the software a business runs on.
AI credits and usage-based pricing, explainedHow usage-based pricing works for AI software: what an AI credit is, how you pay for the work your agent does, and how to keep spend predictable.
How to choose AI software for your businessA buyer’s guide to choosing AI software: agent-native vs bolted-on, open vs locked-in, how you pay, who owns your data, and the questions worth asking first.
How AI agents keep your data safeHow agentic software protects your data: permission-aware agents, per-business isolation, encryption, and an audit trail of every action.
What can an AI agent do for your business?Concrete examples of what an AI agent can do across a business: finance, inbox, sales, operations, people, and marketing, in plain language.
Vertical SaaS in the agent era: a primerA primer for operators on launching a vertical SaaS in the agent era: why agent-native platforms change the build-versus-buy maths.
Getting started with agentic softwareA practical first-week guide to agentic software: what to set up, what to delegate first, and how to set permissions and a budget.
What should you automate first with an AI agent?How to choose the first thing to hand to an AI agent: the traits of a good first task, the usual high-value candidates, and what to keep human for now.
Agentic ERP for small business: is it right for you?Is agentic ERP right for a small business? Where it helps most, what it replaces, what it costs, and how to tell if your operation is ready to try it.
The real cost of business softwareThe real cost of business software is rarely the licence; it is the hours your team spends operating it. How agentic software changes the maths.
Will an AI agent replace your team?A straight answer on whether AI agents replace staff: what they take off your team’s plate, what stays human, and how small teams do more without hiring.
Beyond spreadsheets: when to move off themSpreadsheets run more small businesses than any software. Here is when they start costing you, and what moving to an agent-run system actually changes.
What is an AI agent?A plain-language guide to AI agents: what they are, how they differ from a chatbot, what makes one useful for real work, and how they operate inside software.
Chatbot, copilot, or agent: what is the difference?Chatbot, copilot, and agent get used interchangeably but mean different things. A clear guide to the difference, and why it matters for getting real work done.
How to ask your AI agent to do the workGetting good results from an AI agent is mostly about how you ask. Practical guidance on writing clear requests, giving context, and setting boundaries.
The ROI of an AI agentHow to measure the return on an AI agent: the hours it gives back, the errors it avoids, and the revenue it protects, against a metered cost.
Agentic ERP for startupsWhy agentic ERP suits startups: run lean without an ops hire, keep the back office current as you scale fast, with AI-credit billing that tracks real usage.
How AI agents work with the tools you already useHow agentic software connects to the tools you already run, from email and calendars to accounting and payments, so your agent works across them.
AI agents and compliance: audit, GDPR, accountabilityWhat compliance teams should ask of agentic software: a full audit trail, permission boundaries, data rights, and clear accountability.
Launch your own SaaS: build vs buy the platformFor operators launching a vertical SaaS: the real cost of building the platform yourself versus running on an agent-native one, and how to decide.
Keeping a human in the loop with AI agentsHow to delegate real work to an AI agent while staying in control: permissions, approvals, budgets, and the audit trail that keeps every action accountable.
How multiple AI agents work togetherA plain-language look at multi-agent systems: how a coordinating agent breaks a job into parts, hands them to focused workers, and brings the results back.
AI agents for non-technical teamsYou do not need to be technical to run your business with an AI agent. How plain-language delegation works, what stays simple, and how to start.
AI agents for customer serviceHow an AI agent handles customer service: triaging messages, drafting replies, logging cases, and escalating only what genuinely needs a person.
Agentic accounting: how an AI agent keeps your booksHow an AI agent keeps your books close to real time: it raises invoices, chases payment, reconciles, and pulls the numbers together for review.
AI agents for solopreneurs and freelancersHow a one-person business can run like it has a back office: an AI agent handles the admin, invoicing, inbox, and follow-ups for you.
Switching business software without the painHow to move off your current tools without a risky big-bang migration: go one area at a time, run in parallel, and let an agent do the heavy lifting.
What happens when an AI agent gets it wrong?A straight answer on agent mistakes: how permissions, approvals, and an audit trail keep errors small, catchable, and reversible rather than catastrophic.
AI agents for project managementHow an AI agent keeps projects moving: setting up the work, chasing what is due, flagging what is at risk, and reporting status without the weekly admin.
Data ownership in the agent eraWho owns your business data when an AI agent operates your software, what the agent can and cannot see, and how isolation and permissions keep it yours.
Getting your team to adopt AI agentsThe human side of agentic software: how to introduce AI agents so your team trusts them, starting small, keeping control, and showing the time saved.
The agent-native operating modelWhat a business looks like when an AI agent runs the operation: people set direction, agents do the work, and the software becomes the view over it.
AI agents for sales teamsHow an AI agent keeps a sales team selling: updating the pipeline, logging calls, chasing follow-ups, and surfacing the deals that need attention this week.
What is an AI workspace?What an AI workspace is: the single place your business data lives and your agent does its work, exposed as tools any AI client can operate over MCP.
Setting a budget for AI agentsHow to set and control a budget for AI agent usage: how credits work, setting a cap and auto-recharge, and keeping spend predictable as activity grows.
An AI agent security checklistA practical checklist for giving an AI agent access to your business: scope permissions, keep approvals, isolate data, encrypt, audit, and cap the budget.
AI agents for multi-location and franchise businessesHow an AI agent runs a business across several sites: one consolidated view, per-location detail, stock moves between sites, and reporting that rolls up.
Agentic ERP for international and multi-currency businessHow an AI agent handles cross-border trade: multiple currencies, regional tax, and customers in many countries, in their language and yours.
How to review what your AI agent didStaying on top of an AI agent in practice: reading the audit trail, spotting patterns, confirming the decisions it routed to you, and tuning as you go.
Start
Tell your agent what you need.
Launch a workspace, connect the agent you already use, and hand it the work.
- Free to start
- Bring your own agent
- No vendor lock-in