Before labeling someone "difficult", diagnose the specific type: are they anxious, ignored, or genuinely conflicted in interest?

Map your career strengths, weaknesses, opportunities, and threats in 30 minutes — and see your next move clearly.

Apply SWOT framework to your current career in 30 minutes.

Each stakeholder: place in quadrant (high/low power × high/low interest) — each quadrant has strategy.

Who influences whom? — draw network to know "who talks to whom to shift decision".

Before committing to a big decision, imagine it failed a year from now and list three primary causes.

Compress the organization's aspiration into one sentence under 25 words that any employee can recite.

Choose a 10-25 year goal with a 50% probability that inspires both excitement and fear.

Find the intersection of what your team loves, what it can be best-in-world at, and what drives the highest return.

Analyze five competitive forces to understand why your industry is profitable (or not) and who captures the value.

Scan 6 external factors (political, economic, social, technological, environmental, legal) to spot opportunities and threats.

Allocate investment and leadership time across running today's business, scaling emerging ventures, and seeding tomorrow's.

Map your business model in 9 boxes (customer, value, channels, relationships, revenue, resources, activities, partners, costs) on one page.

Draw a logical chain: inputs → activities → outputs → outcomes → long-term impact.

Instead of "How to improve 10%?", ask "How to achieve 10x?" to force the team to think from first principles.

Craft three plausible futures (optimistic, base, hard) and test your decisions against each.

Sketch your business model on nine boxes on a single page to find gaps before launch.

Identify what protects your venture from competitors for five years — or build a moat if none exists.

Balance investment across the core today, near growth, and long-range bets.

Define one 10-25 year goal so audacious it scares you, uniting leadership around a single ambition.

Pick two words that summarize the year's priority, replacing many goals with one shared focus.

Pick one metric that measures the value delivered to your customer, anchoring every decision to its success.

Summarize company strategy in 5 boxes on a single A4, capturing everything that matters.

Pick 1-3 goals max that create real difference, ignore the rest for 6 months.

Instead of a "start-doing" list, build a "stop-doing" list: what activities to cease to free energy for the most important?

Your industry isn't just war on competitors. 5 forces determine your profit. Ignoring = slow bankruptcy.

Instead of fighting in a red ocean (crowded market), create a blue ocean (new market, no competition).

True competitive advantage comes from only 7 powers. Which does your company own? Which can you build?

Each activity in your value chain is at a different evolution stage. The map reveals where to invest, where to exit.

Instead of predicting one future, write 4 radically different scenarios. Your plan survives all four.

Write a prompt that gives the AI model precise context, role, task, and expected format.

Assign the model a specific background and expertise so its answer matches a real expert level.

Show the model 2-5 examples of the desired output style so it mirrors the pattern with high precision.

Ask the model to decompose the problem and show its reasoning before answering, raising accuracy on complex tasks.

Ask the model to write a numbered plan first and wait for your approval before executing.

State explicitly what you do not want in the output (words, styles, assumptions) to cut later editing.

Request output as JSON with a defined schema to enable automated processing without manual parsing.

After the model answers, ask it to critique its own answer and improve it before final delivery.

Ask the model to explain a complex idea to a 5-year-old, then raise the level gradually.

Learn 4 signals that reveal the model invented info instead of citing documented fact.

Do not use AI-sourced info before verifying it in two independent external sources.

The model does not know what happened after its training cutoff. Know each model's cutoff.

RAG (Retrieval-Augmented Generation) fetches real docs for the model before answering. Know the difference.

Use an LLM to draft an email in 30 seconds, then edit by hand for personal tone.

Convert a meeting transcript (60+ min) into decisions and action items in 2 minutes.

Don't pick the first title that comes to mind. Generate 10 with varied angles, then choose the best.

Ask the model to question you instead of answering, surfacing and deepening your understanding.

When an LLM helps you with content you publish or send, disclose it clearly.

Disable all red count badges on app icons — they are engineered to trigger OCD reflex.

Add "think step-by-step inside <thinking> tags before answering" — boosts complex-problem accuracy 30-40%.

In few-shot, deliberate variety (positive/negative/edge case) matters more than count.

Have the model play expert + student who asks "dumb" questions — extracts tacit knowledge.

"Max 80 words, don't use 'innovative', start with imperative" beats "make it short and clear".

Instead of rewriting the prompt, say "this part good. this part fix to X". 4 rounds = perfect output.

After each output, ask: "What are 3 weaknesses in this answer? How to improve?" — use its intelligence against itself.

Don't repeat instructions every message — set them once in System Prompt, save 70% writing time.

Don't know how to ask? Ask: "What's the best prompt to get X?" — it writes a prompt better than any expert.

Before accepting any AI answer, ask: source? dates correct? names real?

Every AI claim: search 3 independent sources. If absent from any, treat as hallucinated.

Use AI for a bad-fast initial draft, then YOU rewrite completely. Blank page is the killer.