Principle · MoneyPut customers and prospects on stage together at kickoff: the prospect always converts when they hear a customer validate the value. Pair later-stage prospects with customers facing similar challenges and ask them hard questions. Prep panelists beforehand, ask hard questions, and use a strong moderator — a CSM paired with a rep works well because they understand different go-to-market angles. Always open the panel for Q&A; customers and prospects get excited to participate and often want to stay and mingle afterward.
'Always converts' is the guest's emphatic claim from experience, not a measured rate.
30 Minutes to President's Club | No-Nonsense Sales · #612: Sales Kickoff Masterclass: The Ultimate Planning Guide
Creator perspective · MoneyFinance already has a useful term for no human intervention: straight-through processing. Define it as a complete end-to-end without human intervention inside a boundary you name — the boundary could end when the code is drafted, when the pull request is approved, or when the change reaches production.
None stated; presented as the host's endorsed definition.
AI Engineer · What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
Creator perspective · MoneyThe first check requires no knowledge of models; it is pure arithmetic. Put workload volume next to fully loaded human labor, counting everyone whose work exists because of AI — operators, reviewers, trainers, escalation, and rework.
None stated; presented as the host's endorsed first check.
AI Engineer · What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
Creator perspective · MoneyThe three main checks are: one, the arithmetic — compare workload volume with fully loaded human labor; two, the definition — identify the wrong one and request the straight-through rate inside a named workflow; three, the tell — ask who defines quality, whether the expert agrees, and what bad output escapes. Always put those checks together.
None stated; the host's summary of the framework.
AI Engineer · What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
Creator perspective · MoneyEven when a claim survives the checks, it still has to survive the economics. Start with eligible workflow value, apply actual adoption, straight-through process success, and accepted quality; then subtract the cost of AI, human review, escalation, and rework. If the task fails, escalates, or needs rework, that belongs to the cost. The metric Soukaïna would want is cost per accepted autonomous task.
None stated; the host's endorsed economic framing.
AI Engineer · What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
Creator perspective · MoneyEvaluation maturity is the first credibility signal to look for. Always ask who labeled ground truth, whether the expert agrees, whether anyone measures that agreement, what the automated judge was validated against, and what bad output escaped.
None stated; presented as the host's endorsed third check.
AI Engineer · What Technical Due Diligence Finds When the Deck Says “70% Automated” — Soukaïna Abelhad
Principle · MoneyA record must answer what has changed: compare two walks of one space object by object and surrounding by surrounding. It must answer when it has changed: every observation carries and captures where it came from. And it must answer who needs to know about observed deltas, so stakeholders can be informed and counteract — e.g., when structure damage is found with evidence, the responsible party needs to know and counteract, and when fire extinguishers are found expired, that fact must be surfaced so it can be acted on.
None stated.
AI Engineer · Every Building Is a Balance Sheet: Spatial Memory for Real-World Assets — Jordi Spranger, Spranic
Principle · MoneyTrimming a genuine user's transactional history to hit a class ratio breaks the connectivity their neighbors depend on. Downsampling the easy way keeps the neighbors but loses the neighborhood that makes them poor examples, and every negative drawn in graph sampling takes its edges with it — unlike a tabular dataset where rows are independent. Instead, handle class imbalance downstream with balanced batch sampling inside the trainer, and keep a fraud user's own genuine transactions in the graph as hard negatives — the most useful examples for the decision boundary.
AI Engineer · Judge a Transaction by the Company It Keeps — Somya Rai & MD Sharique, EXL
Principle · MoneyMichele Grant insists that core math and reconciliation rules must run in deterministic finance-approved code, not generated as conversational prose from an LLM. Treat the model's written summary as a helpful explanation, not proof — the real proof lives in the telemetry: what records were pulled, what deterministic tools ran, and who signed the review. If reported savings do not match the general ledger, the agent does not touch the number; it flags the discrepancy and routes it up.
AI Engineer · The Agent Works. Does Anyone Trust It? — Michele Grant, Leading at Scale
Principle · MoneyMichele Grant warns to pay close attention to stage four: once humans only look at exceptions, your biggest vulnerability is what the agent failed to flag. She advises tracking missed material issues through independent sampling, monitoring error severity, and watching the override rate carefully.
AI Engineer · The Agent Works. Does Anyone Trust It? — Michele Grant, Leading at Scale
Report · BodyDr. Cleather's most critical principle when teaching someone to lift is to take their brain out of it. He uses a 'ready, jump' cue where beginners move on the coach's command, manipulating space and time so the lifter cannot overthink.
Garage Strength · Why Most People Train Explosiveness Wrong w/ Exercise Scientist Dr. Dan Cleather
Report · BodyJake Tuura describes Seth O'Neill's research standard: a single-leg seated calf raise performed in a decent level of dorsiflexion, with a cutoff of two times body weight — producing two times your body weight with a single leg in a seated position. Per O'Neill's idea, if you hit that standard, you're pretty good. Track and field sprinters and jumpers find two times body weight easy and produce far more, while other team sport athletes not granularly performance-oriented probably won't have as good a number.
The standard is attributed to Seth O'Neill's research; athlete comparisons are the guest's descriptions.
Garage Strength · How To Make Weak Tendons Strong w/ Tendon Expert Jake Tuura
Report · BodyJake Tuura describes the Berlin protocol, which has only been done specifically on the Achilles tendon with a straight leg, and measured changes in Achilles tendon stiffness. It was performed four times per week, taking about 10 to 12 minutes per session. You push for three seconds as hard as you possibly can at a mid-range position or a little bit of dorsiflexion, then switch and do the other leg for three seconds, alternating legs. It's four repetitions per set, followed by a two-minute rest, repeated for five rounds — almost like clusters, a really specific set-rep scheme that can be looked up by searching 'Berlin method'.
Frequency and duration are the guest's recollections ('I think it was four times a week').
Garage Strength · How To Make Weak Tendons Strong w/ Tendon Expert Jake Tuura
Principle · BodyThe more advanced a lifter is and the more compound the lift, the closer to failure they need to train to recruit all fibers; advanced lifters should probably train within three to five reps from failure, and as a rule of thumb within one to two reps from failure, especially when compensating with more volume or heavy loads. Isolation exercises allow more reps in reserve (leg extension vs. leg press, pec fly vs. bench press).
medium
Garage Strength · How To 2x Muscle Growth In Half The Time w/ Muscle Expert Borge Fagerli
Principle · MindBrooks distinguishes pleasure from enjoyment: the pursuit of pleasure alone is not the secret to happiness (jokingly, it's the secret to rehab). Enjoyment is created by taking pleasures and adding people and memory, delivering them to an executive experience. He advises learning the difference between the two and consciously converting pleasure into enjoyment.
Andrew Huberman · The Art of True Happiness | Dr. Arthur Brooks
Principle · BodyWhen 12 or more weeks out from football season, work in the 82 to 95% intensity range for almost all training. Once inside the 12-week zone, work up to 90 to 95% intensity only once a week. If strength is maintained through the season based on speeds and percentages at around 90 percent of speed work, the athlete maintains that strength. Once outside the football season, rebuild and get ready for the next season.
Garage Strength · Why Everyone Should Power Clean for Football
Principle · SocialThe host ranks pointing out what you notice about her in the moment at S-tier and calls it one of the best things you can do. Breaking away from the current topic to comment on something about her right now is really powerful: because women really care about other people's perception of them, it instantly brings the conversation back to being about her and snaps her attention onto what you're talking about.
Coach Kyle · What Women Actually Want to Talk About (TIER LIST)
Principle · MoneyHormozi urges getting a booth at B2B conferences where target customers attend and securing a speaking slot — even just 15 minutes — to pitch services. He argues B2B event clients are worth doing whatever it takes to close because they front the cost of gathering 500-1000 of your ideal customers in one stadium; closing even 1% of a 1,500-person room (15 clients) would be a 50% increase in business. When your ICP is gathered, treat the event as a lead generation opportunity.
Alex Hormozi · How to Get Rich for Service-Based Businesses (Thank Me Later)
Principle · MoneyCredentials never entered the sandbox in the new architecture — calls needing tokens are routed through a proxy that injects the token before calling the external endpoint. This means prompt injection can never extract tokens because the model never sees them; storing credentials in the sandbox makes you more susceptible to prompt injection.
AI Engineer · https://www.youtube.com/watch?v=Uv0nAf_7tyU
Principle · MoneyYoni Michael argues that the important part is not that the agent is right the one time you tried it, but that when you try it 10, 15, 20 times in a row, it gets it right every time. So run evals many times over rather than once to measure consistency, and use pass@k and pass^k metrics to evaluate agent consistency across multiple runs.
AI Engineer · The Data Context Layer for Agents — Yoni Michael & Brandon Callender, Typedef