Coaches, how do you actually know what your client did between sessions?

I'm a founder. I've worked with a coach for a while. Something about how it works bugs me, and I want the coach side of it.

My coach only ever sees the version of my week I can explain after the fact. By the time we talk I've forgotten the meeting I avoided, the decision I sat on for nine days, the 42% of my week that went to a project I'd told everyone I quit. I only remember top of mind.

My question for the coaches here: how do you get at what really happened between sessions? Journals? Pre-session forms? Or do you accept you're working off recall?

I ask because I built a small thing for myself to close this gap. It watches my own screen and meetings and gives me a weekly coach-brief that i can share with my coach prior to our meeting, so we can focus on coaching instead of playing catchup.

I'm curious how you handle the gap today?

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u/recmend — 6 days ago

i tried to rank the "best supplements to slow aging" by what guest researchers actually back.

spent the week trying to answer the question that comes up on this sub frequently: what are the best supplements to slow aging? the version that almost never gets answered the way it's asked.

the usual answer is a list. NMN, NR, resveratrol, taurine, glycine, urolithin a, maybe spermidine if you're feeling brave. somebody mentions blueberries. somebody mentions metformin.

i pulled supplement consensus data from a corpus i've been working on. 3,500+ longevity podcast episodes across 6 channels, 1,000+ guest researchers (norton, walker, sims, galpin, candow, the scientists interviewed across the major shows). scored each supplement by how often the guest researchers actually converge on it as worth taking, not by how often the host mentions it.

what i got out wasn't a top-10 list. it's a three-tier answer.

tier 1 — high convergence, mostly cheap, mostly boring:

  • sleep (a behavior, not a supplement, but every guest researcher leads with it)
  • adequate protein (1.6-2.2 g/kg, varies by goal — norton, lyon, galpin consistent)
  • creatine monohydrate (3-5 g/day; broad convergence across performance and cognition guests, including candow on older-adult dosing)
  • omega-3 EPA/DHA (most guests converge on at least 2g combined EPA+DHA; bill harris on the deeper end)
  • vitamin D if your level is low (lab-guided, not blanket — high-dose without bloodwork is the most-flagged risk)
  • magnesium (form depends on the job — separate post)
  • fiber (~30g/day; cited as longevity-relevant via metabolic + microbiome pathways)

tier 2 — useful but conditional:

  • caffeine timing matters more than amount
  • collagen if joints/skin is the goal, less so for longevity itself
  • B12 if you're vegetarian/vegan or over 60
  • ashwagandha for stress/sleep, not "anti-aging"

tier 3 — high cost, contested evidence:

  • NMN / NR ( guest researchers split sharply on whether blood NAD+ change translates to anything meaningful in humans)
  • resveratrol (sinclair's lab; outside his lab, much quieter)
  • spermidine (small studies, mostly observational)
  • urolithin a / mitopure (interesting mitochondrial mechanism; thin human trials)
  • peptides (most are grey-market and dosing is unsettled — leaving aside the legal question)

so when someone asks for the best supplements to slow aging, the honest first-pass answer isn't a list of compounds. it's: tier 1. without it, nothing in tier 3 matters. tier 3 is where you spend after tier 1 is locked in.

doses above are starting points from the guest-researcher consensus, not prescriptions for your specific situation. labs and a clinician for anything you're not sure about.

curious — what tier 1 thing are you actually doing consistently? and what tier 3 thing did you try that you wish you had skipped?

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u/recmend — 19 days ago

High-achiever burnout / survival mode

I listen to a lot of these health podcasts, and two separate conversations this week landed on the exact same topic.

people who look completely dialed in. career, training, the whole stack. but they feel flat and joyless.

Dr. judith joseph (on mark hyman this week) gave it a name: "high-functioning depression." you keep performing, but the capacity for joy is gone (anhedonia), and she traces it to chronic unprocessed stress more than a chemical thing.

Dr. nicole lepera (on rangan chatterjee) came at the same idea from the body side. the constant busyness is itself a survival strategy, a nervous system stuck in protection mode.

where it connects, huberman's covered the actual lever: the physiological sigh, double inhale then a long exhale, to drop into parasympathetic in real time.

the reframe i'm taking from the week updates: if you "have it all" and still feel empty, treat it as a nervous system you can retrain, not something you are.

if you've worked on this, did nervous-system stuff (breathwork, somatic work, actually resting) move the needle?

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u/recmend — 20 days ago

I built a tool for the part of AI writing nobody wants to do: checking the claims before publishing

I use AI for drafting all the time.

But this keeps happening:

The draft looked polished, then I would notice a claim that needed checking.

Then a citation that looked plausible but did not quite support the sentence or worst the citation was fully made up. Google didn't find it.

Then a statistic with no source.

The writing took 5 minutes. The checking took 45.

So I built TrueStandard.

It is not an AI writer. It is the step after writing.

You paste a draft, and it runs a verification pass:

  • extracts claims
  • checks which claims are unsupported
  • shows where multiple models agree or disagree
  • flags blindspots
  • gives a trust score
  • calls out claims that could embarrass you if published wrong

Most tools try to hide uncertainty. I want to show it.

If four models disagree about a claim, that is exactly where a human should slow down.

Still early, but the core workflow is working. Link: https://truestandard.ai

For people using AI to write posts, newsletters, docs, or scripts: what is your current last step before you publish?

u/recmend — 2 months ago

magnesium for sleep -- a quick map of which form does what

not medical advice -- just the map i wish someone had handed me before i bought 4 bottles trying to figure it out.

  1. form (this is where most arguments come from)
    • glycinate: the one most often stacked into sleep protocols (often paired with theanine and apigenin). gentle on the gut. solid bioavailability.
    • malate: similar bioavailability story to glycinate. general-use, not sleep-specific.
    • citrate: cheap, well-absorbed, but speeds up the bowel. fine if you also want that effect, otherwise switch.
    • carbonate: at least one prominent longevity clinician argues this is more fully absorbed than glycinate/citrate/oxide. underrated and rarely talked about on reddit.
    • threonate: developed for brain penetration -- used more for cognition. researchers note the elemental magnesium content is very low, so it's a poor choice for hitting your daily total. think of it as a brain-targeted add-on, not your main mag.
    • oxide: cheapest, lower bioavailability, but used by some clinicians anyway (and works as a laxative). not useless -- just don't expect it to do heavy lifting.
  2. dose
    • the number on the bottle is usually the compound, not the elemental magnesium. always check the elemental mg on the label.
    • clinical guidance for adults clusters around 300-500mg elemental daily. physically active adults need ~10-20% more due to sweat losses.
    • the deficiency picture is real: roughly 45-50% of US adults have inadequate intake by RDA; subclinical deficiency estimates run up to 80%.
    • magnesium is a cofactor for ~300-600 enzymatic reactions, including DNA repair and ATP production. it's not a "vibes" supplement.
  3. timing
    • bedtime helps falling asleep
    • smaller doses split through the day absorb better than one big bolus
    • some clinicians take a different form in the morning (carbonate) vs. evening (glycinate)
  4. goal
    • can't fall asleep → glycinate at bedtime, often stacked with theanine
    • middle-of-night wakeups + anxiety → glycinate earlier in the evening
    • cramps / restless legs → any well-absorbed form, dose-dependent
    • just want general supplementation → glycinate or malate is the safest first try
    • chasing actual deficiency → standard blood tests are unreliable. the body maintains plasma magnesium by pulling from bones, which masks true status. RBC magnesium is a better marker but most doctors don't order it.

things magnesium will not fix on its own: untreated sleep apnea, late caffeine, screens. it fills a magnesium-shaped hole. it won't outwork the other inputs.

one underrated interaction: high-dose zinc can inhibit magnesium absorption, so if you stack both, separate them.

curious what's worked here, especially anyone who switched forms (glycinate → carbonate, oxide → glycinate, whatever) and noticed a real difference.

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u/recmend — 2 months ago
▲ 1 r/SaaS

AI made drafting faster. It did not make fact-checking faster.

I have been building around a problem I kept seeing in AI-assisted content workflows.

The draft is no longer the bottleneck.

The bottleneck moved to verification.

A founder can get ChatGPT or Claude to produce:

  • a blog post
  • a landing page
  • a competitor comparison
  • a market memo
  • a customer email
  • a LinkedIn post

in minutes.

But if the draft includes numbers, citations, market claims, legal-ish language, medical-ish claims, competitor comparisons, or "according to research" statements, someone still has to check it.

That part still takes 30-60 minutes if you do it manually.

The workflow I am testing is:

  1. paste the draft
  2. extract checkable claims
  3. run the claims through multiple models from different vendors
  4. show where they agree
  5. show where they disagree
  6. flag the claims that should not be published without a source

The key learning for me: single-model review is not enough, because the model tends to validate its own framing.

Disagreement is the useful part: If 4 models all agree a claim is weak, fix it.

If 2 models challenge it and 2 accept it, that is a human-review zone.

If everyone agrees, publish with more confidence.

founders using AI in content generation: do you have a real pre-publish verification workflow, or is it still manual Googling and gut feel?

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u/recmend — 2 months ago
▲ 6 r/sleep

Of all the topics I've gone through across Huberman, Attia, Patrick, Johnson, and Hyman videos (3500+ of them), sleep is one one of the few with full 5/5 strongly-agrees consensus.

Here's the consolidated best/worst list with the receipts on each.

Worst things for sleep:

  • Alcohol: even one drink. Suppresses HRV, compresses REM, fragments architecture (Walker/Huberman, Attia, Hyman)
  • THC: sedative that suppresses REM. Same mechanism as alcohol's REM suppression (Walker/Huberman)
  • Afternoon caffeine: 5–6 hr half-life. You can fall asleep and still have disrupted deep sleep (Walker/Huberman, Johnson)
  • Late food (< 3 hr pre-bed): raises resting HR, impairs glucose disposal (Johnson, Hyman, Attia)
  • Late liquids (after ~4 PM): forces middle-of-night waking (Johnson)
  • Bright light after sunset: suppresses melatonin production. Blue-blockers help (Hyman, Huberman)
  • Inconsistent bed/wake times: sleep regularity is more predictive of health outcomes than total sleep duration (Walker/Huberman)
  • Hot bedroom: body needs core temperature drop to fall asleep
  • OTC melatonin (most adults): Huberman and Walker explicitly caution against. Doses sold are supra-physiological. Marginal benefit (a few extra minutes of sleep). Endocrine effects. Acceptable for jet lag (Johnson) and older adults (Attia).
  • Chronic Z-drugs / benzos: don't produce naturalistic architecture; cognitive risks long-term (Walker, Hyman)

Best things for sleep:

  • Morning sunlight within 30–60 min of waking: cortisol pulse sets circadian clock and times melatonin release 12–14 hr later (Huberman, Johnson, Patrick, Hyman)
  • Consistent bed + wake times: regularity > total duration (Walker/Huberman, Johnson)
  • Cool bedroom (60–67°F / 15–19°C): supports the core temp drop required for onset
  • No screens 60 min pre-bed: avoid melatonin suppression
  • Last meal 3+ hours before bed: lower resting HR, better deep sleep (Johnson, Hyman)
  • Sauna 1–2 hr pre-bed OR hot bath (104°F, 20–30 min): triggers compensatory core temp drop; raises growth hormone and prolactin linked to slow-wave sleep (Patrick, Attia, Huberman)
  • Magnesium (threonate or glycinate): Huberman's stack uses 145 mg threonate. Glycinate works for general use. Threonate crosses BBB
  • Apigenin 50 mg: Huberman's stack. Chamomile-derived. Anxiolytic
  • L-theanine 100–400 mg: Huberman's stack. Some people get vivid dreams, drop if so
  • Glycine 1–3 g pre-bed: lowers core body temperature, the literal sleep onset cue

Source: this is a synthesis built on top of 5 health podcasters (3500+ episodes, 1000+ guest researchers/health experts) hosted by precis managed data.

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u/recmend — 2 months ago

i went through 3500+ longevity podcast videos across 5 different show ecosystems (each with hundreds of guest researchers, mds, phds, neuroscientists) and pulled every cognition / brain-fog adjacent supplement. then i ranked each one by how many of the 5 ecosystems actually treat it as a real recommendation, i.e., repeated positive endorsement across multiple guest discussions, not a single mention.

posting because the cognition / brain fog conversation here keeps coming back to the same 5-6 supplements (lion's mane, alpha gpc, omega-3, theanine, etc.) and the cross-ecosystem support for some of them is weaker than i expected.

note: i used llms to extract the stances from the transcripts. classification and tiering are mine.

universal endorsement (5 of 5 ecosystems back it for cognition):

omega-3: especially high-epa fish oil. dose target is 1-3g epa, not 300mg. at the typical "1 generic fish oil softgel" dose, you're below any therapeutic range studied for cognition or depression.

creatine: 5g/day up to 10g/day specifically for cognitive function under stress, sleep deprivation, and aging. the research conversation treats creatine as a brain supplement first, gym supplement second. this is the highest cross-ecosystem agreement in the entire cognition-supplement set.

glycine: shows up in evening sleep stacks (1-3g, 30 min before bed). the cognition benefit is via sleep recovery.

near-universal (4 of 5):

vitamin D: 4 ecosystems strong endorse. attia is the only skeptic — he argues observed benefits may come from outdoor lifestyle rather than the supplement itself. mechanism is brain receptor expression, not just immune. cognitive slowing in low-d older adults shows up consistently across the 4 endorsing ecosystems.

iron / ferritin: 4 ecosystems flag ferritin (not just iron panel) as the relevant test. patrick is the lone caution voice — warns about iron overload risk in non-deficient adults. low ferritin presents as brain fog before anemia. cheap to rule out and people miss it constantly.

magnesium: for sleep + cognitive carryover, specifically threonate or glycinate forms. threonate has the better blood-brain barrier penetration.

ashwagandha: mostly for cortisol → cognition via stress reduction. 300mg twice daily, cycle after 30 days.

majority (3 of 5):

phosphatidylserine: 300mg/day for brain membrane integrity. underdiscussed here vs. its actual cross-ecosystem support. 3 ecosystems specifically endorse including for cognitive function under stress.

caffeine: 3 ecosystems explicit positive (huberman, attia, patrick) when used appropriately. johnson avoids it entirely. hyman is cautious about chronic high-dose use.

nac: 3 ecosystems endorse (huberman, johnson, hyman), mostly for the glutathione precursor angle.

split (2 of 5):

l-theanine: only 2 ecosystems strongly back it. it's in the famous "cognition stack" but cross-ecosystem support is weaker than the marketing.

apigenin: 2 ecosystems. the strong endorsement comes from one source; others mostly silent.

lion's mane: 2 ecosystems endorse (with cycling caveats). other 3 are mostly silent. the cross-ecosystem signal is genuinely weaker. that doesn't mean lion's mane doesn't work but the cross-research-conversation support is c-tier not a-tier.

rhodiola: 2 ecosystems endorse for stress-driven cognitive issues.

berberine: 2 ecosystems positive (attia for clinical/glycemic use, hyman). huberman explicitly avoids it. cross-ecosystem position is cautious-to-neutral.

minimal (1 of 5):

resveratrol. 1 ecosystem positive (hyman, in a polyphenol stack). others don't discuss it enough to score. limited cross-ecosystem support, weakest signal in the cognition-adjacent set.

what surprised me:

creatine for cognition is the highest cross-ecosystem agreement of any supplement here. 5/5 ecosystems specifically endorse for brain function under stress, patrick discusses it for women's brain health. people skip it because they associate creatine with the gym.

iron / ferritin gets missed constantly. 4 of 5 specifically flag ferritin testing before adding cognitive supplements. a basic blood panel doesn't catch low ferritin until it's bad enough to drop hemoglobin. people chase brain fog with stacks for months when ferritin under 50 is doing the work.

lion's mane cross-ecosystem support is c-tier, a contrarian one. 2 of 5 ecosystems back it, with cycling. rest are mostly silent. it could still work for individual people; it's not the universal endorsement in my analysis.

the "huberman cognition stack" framing is one ecosystem heavy. when you cross-check apigenin, theanine, and lion's mane against 4 other ecosystems independently, they each drop to 2/5 support. omega-3, creatine, magnesium, and glycine hold up. those are the cross-ecosystem core.

phosphatidylserine is underdiscussed relative to its support. 3 ecosystems including for stress-related cognitive issues. ~300mg/day. low side-effect profile. not in most cognition stacks i see here.

method note: stance is per-video, aggregated across multiple guest discussions. "endorse" requires repeated unambiguous positive recommendation, not a single offhand mention. "no_data" means an ecosystem doesn't talk about the supplement enough to score — i don't conflate that with rejection.

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u/recmend — 2 months ago

ai disclosure: i used llms to extract stances from 3,500 video transcripts. tiering and analysis are mine. method at the bottom.

the problem i was trying to solve: there's no single place that shows you what the actual research community agrees on across supplements. every podcast brings on different mds, phds, and researchers. each guest pushes their own thing. you'd have to listen to thousands of hours of interviews to spot the overlap.

so instead of trying to listen to all of it, i used 5 of the major longevity podcasts as a filter. between them they've hosted 1000+ guest experts (cardiologists, neuroscientists, gerontologists, sleep researchers, sports medicine docs, etc). the hosts themselves matter less than the cumulative weight of who they bring on and what those guests actually say.

i pulled the transcripts, classified the stance on each supplement (strongly positive / positive / neutral / cautious / negative) per show across all guest discussions, then tiered by how many of the 5 podcast ecosystems treated it as a recommendation.

excluded: prescription drugs (rapamycin, metformin) and protocols (zone 2, fasting, sauna, cold). those aren't really comparable.

s-tier (consensus across all 5 ecosystems): omega-3, creatine, vitamin d, probiotics, zinc, collagen, iron, glycine

a-tier (4/5): magnesium, b12, curcumin, electrolytes, coq10, ashwagandha, astaxanthin

b-tier (3/5): olive oil, folate, glutathione, sulforaphane, garlic, mct, selenium, vitamin k2, dhea, phosphatidylserine, nmn, caffeine

c-tier (2/5): theanine, apigenin, nac, quercetin, egcg, inositol, rhodiola, lions mane, taurine, vitamin c

d-tier (1/5): tongkat ali, shilajit, berberine, melatonin, resveratrol

(spirulina and boron get talked about in this sub but they're not in the dataset. almost none of the 5 ecosystems discuss them enough to score. that's an absence of signal, not a rejection. didn't want to misrepresent.)

what surprised me:

  1. s-tier is almost all the cheap boring stuff. five things: omega-3, d, magnesium, creatine, glycine. show up positively across basically every research conversation. covers most of the actual overlap.
  2. nmn dropped to b-tier. the marketing is way out ahead of the actual cross-ecosystem consensus. only 3 of 5 treat it positively; the others are openly skeptical or neutral pending better data.
  3. resveratrol is in d-tier with a negative intensity score. that's the strongest negative consensus in the dataset. multiple ecosystems have explicitly walked it back over the past few years.
  4. berberine ("nature's ozempic") sits in d-tier too. cautious or absent across most discussions, mostly due to long-term gut microbiome questions.
  5. collagen made s-tier and i did not expect that. recent rcts on bone density and skin elasticity moved several ecosystems from neutral to positive in the last 18 months.

method: stance classified per video, then aggregated per show. "strongly positive" required repeated unambiguous recommendation across multiple guest conversations. "negative" required explicit pushback. one-off neutral mentions didn't count as endorsements. within a tier, supplements are ranked by stance intensity (strongly positive weighted heavier than mildly positive). this is consensus strength, not evidence quality — those track but aren't identical.

full table with the per-show breakdown and links back to the actual guest discussions is here: https://precis.health/tools/tier-list

caveat: this is what guests and hosts say on camera. it's not a meta-analysis and it's not medical advice. it's a filter for what comes up consistently across the research conversation vs. what's mostly hype from a single source.

what would you add or push back on? especially curious about disagreements on the d-tier -- those are the ones that usually have the strongest selling pressure behind them.

u/recmend — 2 months ago

i kept trying to remember which episode covered specific things. the exact morning light timing. whether he's said creatine is safe for women. which guest broke down cold plunge vs sauna. and i'd end up scrubbing 2 hour episodes for a 30 second clip.

so i built a small search layer over his catalog. you ask in plain english and it returns the answer with timestamp citations back to the original video.

things i've actually searched:

  • the morning light protocol, exact timing and what to do on overcast days
  • does he recommend creatine for women and at what dose
  • which episode covers cold vs heat for longevity

made it for myself first. putting it here in case someone else has the same frustration. Can share the link if helpful, a lot of the good stuff is buried in long interviews. lmk!

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u/recmend — 2 months ago