AI for business3 min read
Rules or AI? How to choose for an automation task
Break down a business task, identify explicit rules and test where AI may help. Work through a request-routing example with a practical decision checklist.
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AI you can put to work.
Practical guides by Eric Muriel: apply AI in your business, learn to build useful solutions and check the results. Clear explanations, context and limitations.
By Eric Muriel Software developer & applied AI specialistFind your next guide
20 guides · Page 1 of 4
Learn and build3 min read
How to check an AI assistant’s answers before using it
Build a simple test with questions, evidence and acceptance criteria. Use a worked exercise to find unsupported answers before relying on an assistant.
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Turn meeting notes into tasks with AI: a checkable exercise
Practise extracting commitments, owners and deadlines without inventing them. Includes fictional notes, a reusable instruction and a reference answer.
Read the guideHow to document an automation so someone else can maintain it
Write an operating note covering inputs, rules, owners, failures and recovery. Test the handover with a practical exercise that reveals missing information.
Read the guideHow to write a brief for an internal application
Define users, tasks, data and scope before building an app. Complete a practical brief using a fictional office-supply request.
Read the guideAI for business2 min read
Acceptance criteria: how to check an application
Replace vague requirements with checkable examples. Define inputs, actions and outcomes using a request-approval exercise.
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How to test an app idea without building the full backend
Create a prototype with fictional data to check a user journey. Separate what the interface demonstrates from what still needs implementation.
Read the guideAI for business2 min read
How to collect useful feedback on a prototype
Run a short session around a task, observations and decisions. Turn general comments into changes you can check.
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How to prepare a CSV before importing it into an app
Check columns, identifiers and missing values with a fictional sample. Decide what to preserve, correct or set aside before importing.
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How to test a form with incomplete data
Prepare form-validation cases for empty fields, boundaries and save failures. Check error messages and whether entered data is preserved.
Read the guideExtract data from text with AI without inventing fields
Practise extraction with defined fields, missing values and supporting passages. Compare the output with an expected answer.
Read the guideHow to check that an automation does not duplicate work
Rehearse repeated events, lost responses and conflicting data. Define an operation’s identity before enabling retries.
Read the guideHow to summarise a document with AI and check the evidence
Prepare a summary that preserves conditions, exceptions and missing information. Practise with a fictional notice and a review checklist.
Read the guideLearn and build2 min read
Compare two document versions with AI
Distinguish additions, changes and removals using a short example. Keep previous and new wording available to check each difference.
Read the guidePrepare customer-reply drafts with AI
Practise drafting from confirmed facts. Separate evidence, open questions and commitments before reviewing a customer reply.
Read the guidePrepare a weekly report separating data from AI commentary
Define the period, check counts and limit conclusions to the evidence. Includes a numerical example you can verify by hand.
Read the guideAI for business2 min read
How to record an automation incident so it can be resolved
Capture expected behaviour, observed behaviour and known impact. Separate symptoms, hypotheses and confirmed causes in a useful incident record.
Read the guideHow to review a content website before publishing
Check pages, links, languages and main actions in a preview. Prepare a manual review with evidence and specific outstanding issues.
Read the guideHow to implement AI in your business, step by step
Choose a useful AI use case, prepare examples and run a small pilot. A practical guide to measuring value, errors and the full cost of implementation.
Read the guideHow to learn applied AI from scratch
A practical learning path: define a problem, build a small AI workflow and check the results. Learn the difference between a demo and a reliable solution.
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