“Seir Centry's AI debugging agent takes it from there.”
Seer
By Sentry
0 recommend/use · 4 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“Sear, Sentry's AI debugging agent, takes it from there.”
“Seir, Sentry's AI debugging agent takes it from there.”
“Seir, Sentry's AI debugging agent, takes it from there.”
Related frameworks
Best-Model-First Agent Workflow
Use the most capable model on max effort, start in plan mode, then auto-accept — counterintuitively cheaper.
Build for the Model Six Months Out
Design your AI product for the model that ships in six months, not the one you have today.
Build for Where the Models Are Going
Design products for the capability one to two years out, not today's model ceiling.
Center of Gravity: Customer vs Employee vs Investor
Every company has one true center of gravity — know which, and re-engineer incentives to move it deliberately
Context-First Agent Debugging
When a coding agent won't do what you want, treat it as a missing-context problem, not a model problem.
Critique in Public, Build Trust in Private
Invert the management-book rule: debate directly in public, lavish reassurance in private.
CV > EV > TV > ME: The Prioritization Hierarchy
Rank every decision by Customer, then Enterprise, then Team, then self — and detect managers who invert it
Don't Be Stingy With Words
People can't read your mind — make appreciation explicit, and never fake it.
Don't Box the Model In
Give the model tools and a goal, not a rigid workflow — scaffolding gains get wiped out by the next model.
Flash Tags: Labeling the Intent of Every CEO Message
As you scale, tag every message with its intent so an offhand comment isn't executed as a mandate
Go All-In When the Experiment Works
Big companies experiment plenty — they fail by hedging instead of doubling down on what works.
Hand the Toil to the Model First
Delegate the boring, repetitive parts of engineering to agents before anything else, and collapse the path to production.
Hire Slow, Fire Fast: The Spiky-Hire Executive Playbook
Beat the 50% executive-failure rate by hiring spiky over well-rounded and running real blind references
If You Want to Kill a Plant, Have Two People Water It (The DRI Rule)
Every important cross-functional outcome needs one Directly Responsible Individual with real power
Latent Demand Product Discovery
Find your next product by watching people misuse your current one for something it wasn't designed to do.
Mega Trend vs Hype Cycle — The PhD Test
If you need a PhD to understand it, it's not a mega trend. Don't fight mega trends.
Own the Story — No Packet Loss
The leader is the custodian of the message — deliver it to the front line yourself, never via cascade.
Pick Hard Problems to Attract the Best Team
Hard, important problems attract the best people — and business is a team sport.
Right to Win via Permission to Play
Before building, ask if it's logical that YOU built it — and whether you have a route to market.
The 2004 Red Sox Team-Composition Model
Build your leadership bench mostly from homegrown talent, seasoned with a few marquee outside hires
The Fast-Feedback Flywheel
Fix every piece of user feedback within minutes so people feel heard and give you even more.
The LOCKS Algorithm for Evaluating Founder-CEOs
Five traits that predict whether a founder can actually scale a company: Lovable, Obsessed, Chip, Knowledgeable, Student
The Six-Factor Company Stack Rank
Timing > market > team > product > brand > distribution — you need all six, ranked.
The Surgeon Management Model
Spend over half your time making your top 10% feel like a supported surgeon who can't be blocked.
Two-Sided AI Adoption
Pair top-down executive buy-in with a bottom-up tiger team of excited power users.
Under-Resource to Force Automation
Deliberately under-staff projects and hand out unlimited tokens so people are forced to automate with AI.
When You Eat a Sandwich, Don't Nibble
Deliver hard news and hard change in one decisive move, then deliberately over-correct
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