Going deeper. Tools, agents, automation, and prompt patterns for confident practitioners.
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11 min readNon-developers can now build real software with AI. A practical guide to using Cursor and Claude Code as a non-engineer — what's realistic, what's not, and the discipline that separates useful tools from broken ones.
Evaluate the implementation pattern, failure modes, and guardrails before building.
11 min readA realistic design for an AI customer support agent that resolves the common cases, escalates the hard ones, and doesn't make the kind of mistake that ends up on Hacker News. The architecture, the prompts, the guardrails.
Evaluate the implementation pattern, failure modes, and guardrails before building.
6 min readAI can compare translations, summarize a commentary, or generate reflection questions on a passage you choose. It cannot hold faith, offer pastoral authority, hear a confession, or issue a doctrinal verdict. A source-and-authority checklist keeps the model in the role of research assistant, not religious leader.
Use AI to compare texts or generate reflection questions while preserving community, tradition, and accountable interpretation.
10 min readA practical, end-to-end AI marketing stack for content, SEO, and social — the tools, the workflows, the prompts, and the discipline that separates real automation from spam. Built for teams of one to small teams, not enterprise.
Turn the workflow into a small practical experiment with a clear quality check.
11 min readA practical AI sales stack that handles research, personalization, sequencing, and follow-up — without becoming the spam everyone deletes. The architecture, the tools, the prompts, and the guardrails that separate effective from annoying.
Turn the workflow into a small practical experiment with a clear quality check.
10 min readAn automated daily briefing or newsletter that arrives in your inbox, with content actually worth reading, is one of the highest-leverage AI builds. The architecture, the prompts, and the discipline that makes it sustainable.
Evaluate the implementation pattern, failure modes, and guardrails before building.
11 min readBrowser agents and computer-use AI promise to operate your computer the way you do. The reality in 2026 is more useful and more limited than the demos suggest. A grounded guide to what works, what doesn't, and where to apply them.
Evaluate the implementation pattern, failure modes, and guardrails before building.
10 min readBuild your own document-grounded chat in under an hour, with no code. The three no-code options worth using in 2026, the tradeoffs, and the patterns that distinguish a useful RAG from a frustrating one.
Build a document-grounded assistant and know when stale, low-quality, or out-of-scope sources make answers unsafe.
10 min readThree reasoning techniques that genuinely improve AI output on hard problems — and the cost-benefit math of using them. With concrete prompts, side-by-side comparisons, and the gotchas modern reasoning models introduce.
Evaluate the implementation pattern, failure modes, and guardrails before building.
8 min readManaging a chronic condition, your own or a family member's, is mostly logistics: appointments, refills, forms, transport, and follow-ups, each with an owner and a deadline. A care-operations board handles that coordination - and stops firmly at the edge of anything clinical.
Coordinate appointments, refills, forms, transport, questions, and follow-ups with clear ownership, without any model-inferred medical actions.
11 min readMost RAG implementations work poorly because they get three things wrong. A practical guide to chunking documents, reranking results, and combining keyword with semantic search — without becoming a search engineer.
Evaluate the implementation pattern, failure modes, and guardrails before building.
9 min readA fixed six-bias checklist and a counter-evidence requirement for auditing a decision you have already leaned toward — with a warning that the model auditing you is a biased participant, not a referee.
Run a decision through a fixed bias checklist and capture counter-evidence before commitment.
10 min readConnecting AI to your real tools — email, calendar, CRM — is the productivity unlock and the risk. A practical guide to the integrations that work in 2026, the patterns that are safe, and the lines you should not cross.
Connect AI to email, calendars, and CRMs with least privilege, approval gates, and audit trails.
7 min readThree procedural controls that protect SME payments and sensitive changes when a caller or video participant can convincingly imitate a director, colleague, or supplier.
Install three procedural controls for payment and account-change requests, brief staff, and rehearse the first response to an impersonation incident.
8 min readA practical job-redesign assessment for SME leaders: examine worker voice, retained judgement, skill paths, workload, monitoring, and appeal before declaring an automation successful.
Evaluate an automation proposal for worker participation, retained judgement, skill development, workload, monitoring, accountability, and appeal alongside ROI.
5 min readAI edit passes often sand your work toward the mean. A taste-preserving edit loop: criteria first, local suggestions only, side-by-side keep/reject, and a final unaided read that protects what makes the piece yours.
Run a taste-preserving AI edit pass that improves craft without flattening voice.
10 min readEvals — systematic measurement of AI output quality — are usually treated as an engineering concern. But every team running AI workflows needs them, and the basics are accessible without code. The how-to.
Measure whether an AI workflow is improving by using examples, rubrics, and regression checks.
7 min readAI makes it fast to caption, transcribe, and organize decades of family photos and recordings — and just as fast to quietly invent a date, a name, or a detail nobody actually confirmed. A metadata schema for consent, provenance, and uncertainty keeps the archive honest, restricts children's images by default, and keeps them out of unreviewed AI tools.
Build a family archive metadata schema that records consent, source provenance, and confidence level for every item, without letting AI-generated guesses get recorded as fact.
11 min readA complete walk-through of building a real AI agent in n8n — one that triages incoming leads, enriches them, scores them, and routes them. Every node, every prompt, every gotcha.
Design a lead-triage agent with explicit tools, schemas, routing rules, logging, and human review.
9 min readHuman review is not a vague safety blanket. A practical guide to deciding what humans approve, sample, audit, escalate, or never delegate in AI workflows.
Choose the right human review pattern for an AI workflow and define approval, sampling, audit, escalation, and stop rules before launch.
10 min readRunning AI locally has matured. With Ollama or LM Studio and a modern Mac, you can run capable models offline, free, and private. What works, what doesn't, and the use cases that actually benefit.
Evaluate the implementation pattern, failure modes, and guardrails before building.
10 min readMCP is the new standard for connecting AI to your tools. You don't need to write one to benefit. A non-engineer's guide to what MCP is, which servers to install, and what becomes possible once your AI can actually act.
Evaluate the implementation pattern, failure modes, and guardrails before building.
10 min readUsing one model for everything is the rookie move. Production AI systems route different requests to different models — and save 60-90% on cost while improving quality. The patterns, the routing logic, and the trade-offs.
Evaluate the implementation pattern, failure modes, and guardrails before building.
11 min readMost people use one AI tool for everything. Intermediate users orchestrate four or five — each for the part it does best. A practical guide to building multi-tool workflows that compound.
Design repeatable AI workflows across tools without losing source of truth, privacy boundaries, or handoff quality.
10 min readA practical workflow model for Estonian companies working across Estonian, English, Russian, Finnish, and other customer languages without losing tone, terminology, privacy, or accountability.
Design a multilingual AI workflow for customer support, sales, internal knowledge, or content localization with glossary control, review gates, and privacy boundaries.
9 min readAn honest comparison of the three main automation platforms for AI workflows in 2026. What each is good at, where each breaks, and the decision rules for choosing without regret.
Evaluate the implementation pattern, failure modes, and guardrails before building.
9 min readHighlights, clippings, and AI summaries pile up without making you smarter. A small capture-to-retrieval system built around three real decisions — plus what to do about sensitive notes, other people's data, and the false privacy of a personal account.
Design a small capture-to-retrieval system around three real decisions or recurring outputs, with a retrieval test, a review date, and a deletion rule.
10 min readReasoning models are not fast models with extra steps. They reward different prompting, ignore some conventional patterns, and have their own pitfalls. A practical guide to working with them well.
Evaluate the implementation pattern, failure modes, and guardrails before building.
7 min readWhat C2PA Content Credentials and watermarks can actually prove, what disappears after screenshots and re-uploads, and how an SME can publish media with an honest provenance policy.
Set an organisational media policy that preserves provenance where practical, discloses material AI use, and never treats credentials as proof of truth.
8 min readApp-level screen time rules answer 'how much AI.' They do not answer the harder question: which of the choosing, deciding, creating, and relating that childhood is for should stay a child's own, even as AI becomes ambient in homework, friendship apps, and games. A practice framework across six domains gives families and schools a decision rule, not just a time limit.
Choose family and school practices that preserve choice, effort, voice, and responsibility as AI becomes ambient in a child's life.
5 min readWhen AI-assisted prose stops being help and starts being a public substitute for your voice, the cost is reputation, trust, and skill. A strategic decision framework for which surfaces may use drafting help - and which must stay unmistakably yours.
Decide which public writing surfaces may use AI drafting help and which must remain human-voiced, with a refusal rule you can defend.
11 min readOnce you use AI seriously, you write the same kinds of prompts over and over. A practical system for building, organising, and sharing a prompt library — what to capture, how to version, and what infrastructure to use.
Turn individual prompts into shared, versioned templates with owners, examples, and quality checks.
9 min readA method for turning a target capability into prerequisites, practice tasks, evidence, and review checkpoints — instead of a bookmark pile of courses you never finish.
Convert a target capability into prerequisites, practice tasks, evidence, and review checkpoints, verified against real sources.
11 min readMost teams fail at AI adoption not because the technology doesn't work, but because the rollout doesn't. A practical playbook: how to pick use cases, train people, set policy, measure impact, and avoid the common failures.
Create a team adoption plan that covers use cases, training, governance, measurement, and rollout risk.
8 min readA practical communication sequence for automation projects: what to say before the decision hardens, which commitments build trust, and which promises managers should not make.
Plan and hold an honest team conversation about automation before rollout, with decisions, open questions, commitments, and feedback routes made explicit.
5 min readA decision card for the moment home-project planning tools end and licensed trades, inspectors, or engineers begin. How to hand off cleanly with AI-prepared questions - without DIY life-safety steps or invented permit answers.
Use an escalation decision card to move from AI planning literacy to licensed trades, AHJ questions, and verified contracts without life-safety DIY.
5 min readA decision framework for freelancers: when to stop prompting and bring in a lawyer, accountant, specialist collaborator, or frank client escalation. AI can draft questions and organize options; it cannot carry professional liability for regulated or high-stakes calls.
Apply an escalation decision framework that routes high-stakes freelance questions away from AI-only answers.
7 min readA practical audit for deciding which automations to keep, repair, simplify, or retire — including ownership, breakage, hidden review work, and silent-failure risk.
Audit an automation estate and make an evidence-based keep, repair, simplify, or retire decision for every workflow.
6 min readA strategic escalation card for personal-finance AI use: irreversible money moves, tax positions, credit decisions, insurance disputes, and regulated advice require licensed humans. Use models to prepare handoffs - not to replace them.
Apply clear escalation triggers that move irreversible personal-finance decisions from chat tools to licensed professionals.
7 min readBeyond the general norm of disclosing appreciable AI use, four specific workplace triggers turn disclosure from good practice into an actual requirement: an explicit company policy clause, a client contract term, a regulatory transparency rule for systems that interact directly with people, and a formal evaluation process that asks directly. A decision framework for telling the two apart.
Identify which workplace-specific triggers create an actual AI disclosure requirement, versus the general authorship norm, and escalate correctly when a regulatory trigger applies.
