Free AI agency course
Learn how to find valuable workflows, build reliable AI agents, win clients, deliver measurable results, and run a trustworthy AI agency with Spacebrain.
Choose the smallest useful system for the work instead of calling every automation an agent.
Open lesson →02Measure an agent by the business constraint it improves, not by how impressive the demo looks.
Open lesson →03Map the real journey from trigger to outcome before trying to automate the visible symptom.
Open lesson →04Use an explicit scorecard before investing in an agent build.
Open lesson →Choose a reachable segment with a repeated operational pain and an identifiable buyer.
Open lesson →06Turn customer language and workflow evidence into a useful problem inventory.
Open lesson →07Package a believable before-and-after workflow with scope, responsibilities, and proof.
Open lesson →08Build transparent pricing around the work, usage, support, and risk you actually carry.
Open lesson →Write an agent contract that makes its purpose, limits, and owner inspectable.
Open lesson →10Design the normal journey and the exceptions before real customers discover them for you.
Open lesson →11Turn policies and SOPs into clear, testable instructions rather than one oversized prompt.
Open lesson →12Give an agent only the actions and information the job truly needs.
Open lesson →Make ownership, lifecycle, and authoritative records clear before connecting an agent.
Open lesson →14Turn a new signal into enough useful context for a person or workflow to act.
Open lesson →15Make one narrow workflow that qualifies, records context, alerts an owner, and begins approved follow-up.
Open lesson →16Preserve the customer’s context when a person takes over.
Open lesson →Create a concise inbound experience that identifies purpose, gathers permitted details, and routes to a person when needed.
Open lesson →18Ask only approved questions, use transparent criteria, and preserve a clear human route.
Open lesson →19Make follow-up useful, permission-aware, and easy to stop or hand to a person.
Open lesson →20Design for uncertainty, complaints, sensitive requests, and emergencies before launch.
Open lesson →Document where each fact starts, which system owns it, and how a correction flows back.
Open lesson →22Treat integrations as operational systems with retries, audit trails, and safe failure states.
Open lesson →23Curate approved, current information with owners and retrieval boundaries.
Open lesson →24Apply least privilege, tenant separation, retention choices, and regular access review.
Open lesson →Test representative normal, edge, adversarial, and failure cases against expected outcomes.
Open lesson →26Track completion, quality, handoff, correction, and customer experience together.
Open lesson →27Combine permission, input, tool, approval, logging, and human safeguards instead of relying on one prompt.
Open lesson →28Release changes deliberately and learn from failures without hiding them.
Open lesson →Show one believable workflow with assumptions, fallback, and visible operational value.
Open lesson →30Create an ethical acquisition system using relevance, permission, proof, referrals, partnerships, and useful education.
Open lesson →31Use discovery to understand the current workflow, decision rights, systems, risks, and measurement before proposing a build.
Open lesson →32Present the delivery phases, shared responsibilities, exclusions, risk controls, and success measures plainly.
Open lesson →Collect the people, evidence, access, policy, baseline, and approvals required for a controlled build.
Open lesson →34Launch with a bounded audience, stop conditions, daily review, and a clear decision point.
Open lesson →35Create branded workspaces with separated permissions, clear support, and honest service expectations.
Open lesson →36Use evidence-led reviews to discuss outcomes, exceptions, changes, and next decisions.
Open lesson →Turn recurring delivery work into reusable templates while preserving client-specific judgement.
Open lesson →38Understand labor, provider usage, support, and service limits before scaling delivery.
Open lesson →39Define roles and access so strategy, implementation, QA, support, and specialists can work without broad production permissions.
Open lesson →40Bring the course together in a complete, evidence-led offer, architecture, pilot, and operating plan.
Open lesson →Put the learning to work
Create a free Spacebrain account and build the operating layer around your first agent.