AI adoption is uneven: Your power users will sprint ahead. Everyone else waits. The gap isn't the AI tool AI adoption must be intentionally designed. #AI

The five faces of AI readiness www.weforum.org/stor... #AI

A narrowly scoped AI assistant that does one thing reliably builds more trust than a general agent that hallucinates unpredictably.

Best use of AI for PMs isn't writing PRDs. It's creating virtual representations of stakeholders and pressure-testing your proposal before the real meeting. Simulate the objections. Prepare the answers #AI

Executive communication framework: 1️⃣ Start with your conclusion 2️⃣ Organize around decisions and tradeoffs, not timelines 3️⃣ Tailor depth to audience 4️⃣ Let them pull details, don't push Nobody ever complained a PM was too concise.

Discovery isn't a phase. It's the entire reason the PM role exists.

What is your teams gap between "look what I built in a weekend" and "this is enterprise-ready" is it still measured in months or reduced to days? #AI

Product sense is pattern recognition. Patterns take time.

Senior PMs: what's the one skill that actually differentiates you from mid-level?

Old way: Take detailed notes during meetings. New way: AI recordings + You capture the meaning and deeper insights => Better notes, better presence. #AI

Before: Execution was the bottleneck Now: Execution is AI-accelerated, strategic decisions are the bottleneck. #AI

What's one AI use case you've shipped where human-in-the-loop was non-negotiable? #AI

Stop trying to validate features. Validate the problem first. Then validate the feature. Most PMs skip straight to features and wonder why adoption is flat. #AI

Where does most of your PM learning actually happen? A) On the job, in the trenches B) From peers and managers C) Books, podcasts, courses D) Honestly, I'm not sure I'm learning #ProductManagement

What happens between meetings is the actual work.

"Lots of customers want X" means explore the problem. It doesn't mean build X. #ProductManagement

Nobody talks about "context rot." Your LLM-powered Wiki sounds great until the docs go stale and the model confidently surfaces wrong answers. Any knowledge artifact needs ownership and continuous maintenance #AI

You cannot be genuinely curious about something while also being somewhere else.

Layered prioritization: Vision → Strategy → Outcomes → Opportunities → Solutions Most teams argue about solutions when they haven't aligned on outcomes. Go one layer up. The fight disappears. #ProductManagement

"Now / Next / Later" is the only external roadmap format that doesn't get you in trouble. No dates. No specific features. No promises. Just direction. That's all customers actually need. #ProductManagement

"The mind gives an order to the body and is obeyed at once; the mind gives an order to itself and is resisted." - Augustine

Product sense is pattern recognition. It accumulates slowly, then suddenly.

Covey said "sharpen the saw." For AI, that means: load context before you prompt. Role. Goal. Constraints. Prior attempts. Most people skip this and blame the model. #AI

The AI features you dismiss as "nice to have" are often the ones enterprise customers can't live without. Agent identity. Agent attribution. Kill switch ..etc

A common misconception is that consuming more information makes you smarter. In reality, accumulating information leaves your life unchanged unless you actively install new mental models that alter your decision-making and day-to-day life. #MentalModel

How LLMs actually work www.0xkato.xyz/how-l... #AI

Prioritization that holds up under pressure: 1️⃣ Revenue impact 2️⃣ Cost reduction 3️⃣ Risk mitigation The loudest stakeholder isn't in the list. Document the rationale. The decision itself is less important than your ability to defend it six months later.

Old way: manually review AI outputs before shipping. New way: spin up a second LLM instance to grade the first one. LLM-as-a-judge is now standard practice in teams doing this seriously. #AI

Old buy vs. build math: compare vendor cost to build cost. New buy vs. build math: add ongoing AI infrastructure costs to the build side. Inference isn't free. Most internal estimates miss this completely. #AI

Wondering where to leverage AI Ask: "What slowed you down today?" #AI

Pre-wiring stakeholder meetings. How it works: 1️⃣ One-on-one before the formal review 2️⃣ Focus on their specific concern, not the whole deck 3️⃣ Let them shape the framing 4️⃣ The meeting becomes a confirmation, not a debate #ProductManagement

Creating Claude skills takes four steps: 1. Build the skill/prompt 2. Use it 4-5 times in real situations 3. Note every failure/edge cases 4. Tweak, fine-tune, and repeat You're not done after the first version. You're just starting. #AI

Then: Personalization was an onboarding questionnaire you never looked at again. Now: AI constantly adapts the product to you in real time. Static vs. Evolving. #AI

Don't test AI outputs manually. Build an eval suite: real examples, expected decisions, failure modes, unacceptable outputs. Manual review doesn't scale. Structured evals do. #AI

If you like to get into AI-based engineering, this can be a good start themodernsoftware.dev/

"The impediment to action advances action. What stands in the way becomes the way." -Marcus Aurelius

AI started as an intern. Now it's the PhD researcher, the senior analyst, the domain expert. It's not climbing the skill ladder. It's climbing the org chart power law, where each tier unlocks exponentially more economic value. Your pricing model should reflect that. #AI

Every time I revisit Jobs To Be Done, I’m reminded that people don't buy products; they "hire" them to make progress in a specific circumstance. #ProductManagement

AI accelerates execution. It does not accelerate approvals, alignment, or roadmap decisions. That lag is now your biggest bottleneck. #AI

One of the most underrated PM skills is making sure everyone understands what you understand: • why it matters • how it connects to strategy • what success looks like for them Alignment is good and shared context is ideal

Which decisions will you NOT delegate to AI?

One product lesson from Jobs To Be Done: Users don’t quit because they “lack motivation.” They quit because the forces of friction are stronger than the forces of progress. To improve adoption, reduce: • Anxiety of the new • Habit of the present

Old way: remember what got decided in the meeting. New way: AI generates the decision transcript automatically. You don't need a perfect memory anymore. Free up your brainpower to be 100% present in the room.

One underrated PM skill: structured forgiveness. Write down what happened Assess your role objectively Reflect on what you’d do differently with today’s knowledge Create a better response plan for next time Growth comes from reflection, not regret.

Buyers who understand your value and still don't buy aren't confused. They're afraid. Fear of failure. Fear of success. Fear of change. The job of great copy and great product is to make the risk feel smaller than the regret. #ProductManagement

Old way: PM gets codebase access to understand the implementation New way: PM gets codebase access -> Expectation is to start making minor improvements (with support from AI) Have you created your PR? #AI

If your metric doesn't drive day-to-day decisions, it shouldn't be on your dashboard. #ProductManagement

Design judgment isn't a mystical gift. It's documenting your decision, the alternatives you considered, and the tradeoffs you made, then reviewing them later. That's it.

Distribution matters as much as product. Act like it.

Saying no to feature requests diplomatically Three-part formula: 1️⃣ Acknowledge the ask genuinely 2️⃣ Explain the trade-off clearly 3️⃣ Offer what you CAN do The goal isn't to avoid conflict. It's to make the cost of "yes" visible.