AI promptsCopilot prompts: examples for office work
Original Copilot prompts for sales, procurement, administration and operations: goals, sources and formats. Verify answers, numbers and missing data.
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AI prompts
AI fundamentalsAI, AGI and ASI: differences between intelligence and autonomy
AI, AGI and ASI compared: general capabilities, performance and autonomy. What an agent demonstrates and which questions to ask a provider.
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AI for businessesMeta Personal Superintelligence: What Muse Spark Does
Meta personal superintelligence: Muse Spark announcements, features to verify in Italy and how to distinguish an assistant from a business system.
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AI for businessesAI Agents and Superintelligence: What Changes for an SME
AI agents and superintelligence: why autonomy, capability and reliability differ. Two SME scenarios and useful tests before delegating actions.
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AI for businessesSuperintelligence and control: how to verify agents
Superintelligence, alignment and control: why supervision can fail. Limits of human approval, testing and sandboxes in current agents.
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AI fundamentalsArtificial superintelligence: meaning and applications
Artificial superintelligence: meaning, available evidence in 2026 and differences from AI. A practical guide to interpreting announcements and applications.
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AI for businessesAI that improves itself? How does AlphaEvolve work
Superintelligence and self-improvement: how AlphaEvolve searches for better algorithms, who defines tests and why optimisation does not prove general ASI.
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AI fundamentalsDoes superintelligence already exist? Evidence in 2026
Does superintelligence exist already? Public evidence from 2026, results reported by laboratories and what is missing to classify a system as ASI.
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AI for businessesSuperintelligence, memory and RAG: getting to know the company
Superintelligence, memory and context: what persistent sessions and business RAG demonstrate. Distinguish retrieved data, learning and capabilities.
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AI for businessesSuperintelligence for SMEs: waiting for it or using AI today?
Superintelligence for SMEs: test AI today, prepare data or wait? A decision matrix and hypothetical calculation covering freed capacity, costs and limitations.
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AI for businessesSuperintelligence: the technologies of OpenAI, Claude and Google
Superintelligence technologies: models, tools, memory and verifiers at OpenAI, Anthropic, Google and Meta. Choose an architecture for an SME.
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AI for businessesDuplicate CRM contacts: use AI to propose merges while keeping history
AI for CRM duplicates: distinguish namesakes from matching identities, choose fields, and check history and associations. Reviewable merge proposals.
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Process automationImport email and PDF orders into business software: AI, checks and confirmation
Import PDF orders into business software: extract line items, codes, quantities and units, check duplicates and review the summary before saving.
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AI by business functionQualify sales enquiries with AI: missing data, priorities and assignment
AI sales enquiry qualification: completeness, stated urgency and assignment. An inbound process before quoting, with verifiable reasons.
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AI by business functionCustomer Complaints with AI: Priorities, Facts, and Responsibilities
AI for customer complaints: separate facts from requests, prioritise cases and prepare escalation, with workflow checks, scenarios and pilot metrics.
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Process automationSynchronise CRM and business software with AI: data, conflicts and retries
Synchronise CRM and business software with AI: define each field's source, link IDs, handle conflicts and retries, and measure a pilot without duplicates.
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Process automationUpdate supplier price lists with AI: changes for approval
Update supplier price lists with AI: match SKUs, units and packs, compare prices and validity, and prepare proposed changes for approval. Pilots and anomalies.
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Process automationAI purchase approvals: complete requests and traceable decisions
AI purchase approvals: organise requests, budgets and attachments, handle approval limits and absences, and prepare a pilot with traceable decisions.
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Process automationAutomating business software without APIs: options and limits
Automating business software without APIs: assess imports, exports, supported integrations, RPA and computer use. Controls and a pilot before writes.
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AI models and toolsBlast Radius in Claude Code: Assessing Commands Before Acting
Claude Code Blast Radius Mod: previews, user choices and the limits of recognised commands. Evaluate it while distinguishing a demo from a business policy.
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AI assistantsClaude Code hook not running: a debugging guide
Diagnose a Claude Code hook that does not run: loaded settings, matchers, JSON input, timeouts and policies. Local tests and reproducible errors.
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AI assistantsClaude Code Hooks: a practical guide in Italian
Claude Code Hooks: choose events and handlers, configure local automation and controls. Examples, limitations and an approach for an Italian team.
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AI assistantsHooks and MCP: filters and handlers in Claude Code
Distinguish hooks on MCP tools and mcp_tool handlers. Canonical names, authentication and read-only controls to connect Claude Code to external tools.
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AI assistantsClaude Code Notifications: local hooks and permissions
Local Claude Code notifications when attention is needed: events, filters and permissions on macOS, Windows and Linux, without external services.
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AI assistantsClaude Code hooks for subagents and teams
Place hooks in the delegated workflow: settings, frontmatter, plugins, TaskCompleted and TeammateIdle. Identity, testing and limits without recursion.
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AI assistantsHTTP Hooks: controls for Claude Code
Connect Claude Code to an HTTP check: POST JSON, decision responses, allowlists and error handling. A local example using synthetic data.
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AI models and toolsClaude Code Mod not working: loading, hot reload and state
Claude Code Mod hot reload not working? Check the version, policy, loaded code, UI and state. A structured diagnosis with logs and reproducible tests.
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AI models and toolsClaude Code Mods for Teams: Distribution, Policy and Security
Claude Code Mods security for business teams: private marketplaces, versions, reviews and managed policies, with code boundaries and an adoption plan.
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AI assistantsPostToolUse: formatters and tests in Claude Code
Use PostToolUse for formatting and test feedback. Handle paths, async tasks and concurrency while distinguishing validation from rollback.
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AI assistantsPreToolUse: Protect files in Claude Code
Configure PreToolUse in Claude Code: deny, ask, protected paths and control limits. A small rule to check before use.
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AI assistantsSessionStart: restore context after compaction
Choose what to add with SessionStart after startup, resume, and compaction. Git, persistent instructions, and environment, with small, verifiable output.
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AI assistantsStop hook: loopless checks in Claude Code
Design a Stop hook with verifiable conditions, stop_hook_active and limits. Comparison between script, prompt and agent, with no invented results.
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AI models and toolsClaude Mods API: add custom commands and tools
Claude Mods API custom tool commands: choose the entry point, define inputs and errors, and verify canonical names. A read-only example with dummy tickets.
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AI assistantsHow to create the first Dot in ChatGPT and assign it a project
Create a Dot on desktop, prepare sources and a brief, choose access permissions and verify the first result. A guide for eligible accounts.
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AI by business functionCompare supplier quotes with AI: prices, quantities and terms on a common basis
Compare supplier quotes with AI: unit prices, batches, transport and terms on a common basis. Missing data and a shortlist for approval.
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Process automationComparing versions of documents with AI: finding changes
Compare document versions with AI: separate textual differences from meaning changes, check numbers and attachments, and prepare a review with A/B sources.
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