Better SaaS businesses start with better questions.
Guides to decide, design, build and launch. Practical methods, without guaranteed-outcome promises.
11 resources
AI feature unit economics: measure cost per completed task
Useful AI cost includes the calls, retries and review needed to finish a workflow. The price of one model request does not describe the economics of the customer outcome.
↗AI & AutomationBuilding an AI evaluation set for a SaaS feature
An evaluation set pairs representative inputs with explicit success criteria. Use it to compare versions and identify regressions, not to claim universal accuracy.
↗AI & AutomationChoosing a first AI use case for a SaaS product
Choose a task with a verifiable output and manageable failure consequences. Model availability alone does not establish a useful product opportunity.
↗AI & AutomationChoosing workflows to automate: start with the exceptions
Repetition alone does not make a workflow a good automation candidate. Evaluate input stability, exception handling and the consequences of an incorrect action.
↗AI & AutomationDocument assistants: keep retrieved instructions separate from authority
A retrieved document may contain text that looks like an instruction to the assistant. That text must not inherit the user's authority or change the system's operating rules.
↗AI & AutomationHuman approval for AI actions: make the review meaningful
Human approval works only when a reviewer can understand, change or reject the proposed action. A confirmation button without context provides little practical control.
↗AI & AutomationPreparing a document corpus for a RAG assistant
A document assistant needs identifiable, current sources with enforceable access boundaries. Organise the corpus before optimising answer wording.
↗AI & AutomationWhen an AI assistant should decline or fall back
An assistant needs explicit behaviour for missing information, restricted access and unsupported tasks. Fallback is part of the product experience, not merely an error message.
↗AI & AutomationWhere to place human approval in an automated workflow
Place approval immediately before the effect requiring human judgement. Approving too early authorises an unknown result; approving every internal step can make the workflow impractical.
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