“so service now, they have this agent that you can use on your site.”
ServiceNow
0 recommend/use · 4 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“This is the opportunity for someone to disrupt Salesforce, I don't know, Service Now”
“has been on board of directors for service now sneak Retail Me Not and yex”
“service now service Cloud Salesforce sendes like Decades of table stake feature building”
Related frameworks
Adaptive Evaluation Over Static Benchmarks
Measure AI robustness with attackers that learn, not with a frozen dataset of yesterday's attacks
CaMeL Permission Pre-Restriction
Grant an agent only the permissions its stated task needs, decided before it runs
Design For Tomorrow's Majority, Not The Vocal Minority
Optimize for the far larger future user base, then manage the unhappy few with authentic listening.
Differentiate Above The Model, Not Around Its Gaps
Build your moat outside the LLM so your product gets better as the models get better.
Differentiation vs Table Stakes
Balance the roadmap between what attracts new customers and what they require to switch at all
Driving AI Adoption Through Hard Constraints
AI transformation moves when you impose hard constraints, sort people into three groups, and fix the slowest part of the system.
Earn The Next Role By Driving Impact In This One
Stop eyeing the next promotion; be judged on impact delivered in the job you already hold.
Follow People, Not Plans
Choose jobs by who you'll learn from, not by a five-year plan or a financial bet.
Four Criteria for Choosing a Distribution Platform (Enter and Exit)
Score a new platform on retention, monetizability, value exchange, and scale — then plan your exit before you enter.
Map Your Product Against What AI Can Do
Start from your product's core job, then classify each part as AI-replace, augment, partial, or not-yet
Platform Betting Strategy by Company Stage
Late-stage companies spread chips across platforms; startups make one focused bet and go all in.
Product-Market-Story Fit
Great product in a great market still fails if the story is wrong or missing — add the third leg
Swinging the Pendulum
Spot an undesirable state, correct it — but know you'll overcorrect, so aim for the middle
The AI Deployment Risk Triage
Classify any AI deployment into one of three risk tiers before spending a dollar on defense
The AI Security Vendor Due-Diligence Test
Five questions that expose whether an AI guardrail vendor is selling real protection or theater
The Angry-God Containment Lens
Assume the AI is a malicious agent trying to hurt you, then engineer so it structurally can't
The Four Forces of Switching
Understand any adoption decision as a tug-of-war between attraction, anxiety, habit, and inertia
The Four-Step Distribution Platform Cycle
Every new growth channel opens then closes in the same four predictable steps — learn to see where you are.
The PM-Engineering Alignment Operating System
Run product and engineering as one leadership unit with clear ownership and async, iterated reviews.
Throwaway Prototyping To Discover The Product
Build disposable prototypes on real data to feel what works before writing any production code.
Use AI As Leverage On Your PM Time
Assign the model a role, feed it more context than you could read, and iterate the prompt until it works.
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