Ad-hoc Track — Articles Workshop

External collaboration surface for the verified-theory-publishing pipeline. Coach-bylined deep articles with iterative reviewer workflow.

📂 Not the DA-pipeline. DA-pipeline articles (Core DA, Blog 5-Section, Pro Hand Collection, Range Grid Drop, Quiz, Hand of the Week, Big Blunders) are produced through a separate methodology run by the CAI team. See da-pipeline/ for that track. This page is ad-hoc-only.

Ready for Publication

Coach / partner signoff received. Article is ready to publish to the QuintAce blog or partner platform. Once truly published, it leaves this repo's tracking.

🃏 Poker Content

solver-anchored articles co-authored with coaches and partners 5
⚙️ γ · Non-standard formats
Coauthored by

Why the solver widens for antes — and tightens the button for straddles

Demonstrates: Solver shows ante and straddle have asymmetric effects on NLHE strategy — ante widens every position uniformly; straddle tightens non-straddle seats (BTN drops 9.6pp, SB drops 30.5pp). Format- variation analysis that library-based solvers can't deliver.
from Book 3Ready for publication
⚙️ γ · Non-standard formats
Coauthored by

Phil Ivey's most legendary hands — solver-graded by QuintAce

Demonstrates: Famous Ivey hands re-graded across multiple NLHE formats (WSOP MTT, Monte Carlo cash, HSP, MDCG) — quantifies the public mystique against modern solver baselines across format variations.
Ready for publication
🧨 ε · Exploit vs population
Coauthored by

QuintAce Graded My Dumbest Hands. It's Not What You Think.

Demonstrates: JRB's 13 most-discussed televised hands graded against solver + population baselines. The actual leak is one hand worth ~$172K every recurrence; most calls his commentators flagged as 'wrong' are right per solver — exploit framing vs GTO.
Ready for publication
🧨 ε · Exploit vs population
Coauthored by

The 5 Questions Patrik Antonius Wants a Modern Solver to Settle

Demonstrates: Patrik tests his intuition against the modern solver on five spots — solver-right intuitions that are off by more than expected, deep-stack complexity, population under-bluffing, sizing cliffs vs plateaus, exploits against the studied cohort.
Ready for publication
🃏 δ · Non-standard games
Coauthored by

The squid is an invisible ante — here's the napkin math + sizing shortcut

Demonstrates: Solver-grounded walkthrough of Stand-up Game from first principles — pricing the squid button as an invisible ante that reshapes every preflop decision. A game no commercial solver opens.
from Book 2Ready for publication

👁 Currently in Review

Named partner is actively reviewing. v1.md is at production quality; iterations land on the live URL.

🃏 Poker Content

solver-anchored articles co-authored with coaches and partners 7
🔀 β · Multiway pots
Coauthored by

Every Format, Every Game — HCL 5-way Stand-Up preflop all-in

Demonstrates: Five-way preflop all-in on HCL Stand-Up Game ($95K pot). Multiway pot at full game-tree fidelity in a non-standard game — two structural USPs library tools can't deliver. HCL partner-anchored.
Ready for review
🎯 α · Off-tree / instant solve
Coauthored by

Henry Guttman Ran a Bluff That Shouldn't Exist — and It Worked

Demonstrates: Henry Guttman jams 55 on the river of K♦9♥4♥3♣4♦ facing Airball's $45k value bet, making Airball fold KQ on HCL. Pocket fives is a near-zero reach hand at this node — it should fold the flop and never arrives here in equilibrium. QuintAce extrapolates the off-tree river strategy to show exactly how far outside the solver's playbook the bluff sits, and why the impossibility of the bluff was its own disguise.
Ready for review
🎯 α · Off-tree / instant solve
Coauthored by

At 750bb deep on HSP Season 3, KK facing a $286K all-in on 7♠6♦3♦ is not the snap call everyone remembers. The math explains why Ivey's fold was defensible.

Demonstrates: Brad Booth's 4-high bluff against Phil Ivey's KK on HSP Season 3 — a hand library solvers cannot analyze because no precomputed tree exists at 500bb effective. QuintAce's DRL returns a strategy instantly. The strongest single example of Feature 4.1 in the famous-hand catalog.
Ready for review
📰 ζ · AI methodology
Coauthored by

Stuck With GTO — multi-style comic series

Demonstrates: Famous JRB fold at 1,140bb (Stuck With GTO Ep 1). 8 visual languages, one locked story — shows where standard GTO solvers fail (no library has this state) and why DRL + exploit framing reaches the right answer.
Ready for review
🃏 δ · Non-standard games
Coauthored by

Every Format, Every Game · Ep 1 — Mariano's $340K Stand-Up cooler

Demonstrates: Mariano's $340K aces in HCL Stand-Up Game (Every Format Every Game Ep 1). Vanilla solvers misanalyze the cooler because they don't model the Stand-Up Game token economy. HCL partner-anchored.
Ready for review
🧨 ε · Exploit vs population
Coauthored by

Intuition Hints, the Solver Answers: A Re-read of Easy Game

Demonstrates: 8 load-bearing claims from Easy Game put through the solver. Re-grades each — intuition vs solver coordinates — and identifies the population leaks that emerged after Seidman shipped the original.
Ready for review
🧨 ε · Exploit vs population
Coauthored by

The solver says mix. You can't. Now what?

Demonstrates: Xuan vs solver — the solver says mix; you can't. Now what? Exploit framing — when equilibrium recommendations are unworkable in practice and how to deviate.
Ready for review

📰 Press Content

outlet pitches and manifesto pieces by Thanh — AceGuardian + QuintAce 3
📰 ζ · AI methodology
By

GTO Is a Poker-Industry Story. The Cutting Edge of Gameplay AI Has Always Been Somewhere Else.

Demonstrates: Manifesto piece. For the poker industry GTO is ground truth; for the broader field of gameplay AI (AlphaStar, OpenAI Five, Suphx, AlphaGo, Cicero), pure equilibrium-seeking has never been the cutting edge. DRL + search has been the frontier for over a decade.
Ready for review
📰 ζ · AI methodology
By

Why DRL Is the Default Solver — and Where Full CFR Still Helps as a Cross-Check

Demonstrates: When DRL tracks CFR ground truth closely (abstracted games) vs when full CFR is intractable and DRL is the only option (most surfaces students study). 3-tier directional-alignment framework + 10-format × 4-tool coverage matrix.
Ready for review
📰 ζ · AI methodology
By

When QuintAce, GTO Wizard, and Other Solvers Disagree

Demonstrates: Internal benchmarks (1755-flop FCR 0.94, 300-spot Pio 299/300, mean EV-distance 0.000064 of pot, ICM MAE 0.28% vs Pio's 13%) showing where DRL and CFR-class solvers converge — and where the disagreements come from.
Ready for review

✏︎ Drafting

Active drafting / iteration. Not yet handed to the named partner for formal review. Cards without a rendered preview are still at outline stage.

How we classify articles

Every piece in this hub has three orthogonal classifications. When you're proposing a new article, work the matrix below: pick an anchor, a trigger, and a USP claim. Articles that hit underserved cells (see "Coverage" at the bottom) are the highest leverage.

1. WHO anchors

  • 🃏 A · Ambassador-led Coach or named poker pro (Brad, Uri, JRB, Patrik, Ivey, Seidman, etc.)
  • 🤝 B · Partner content Operator / show / brand (HCL, WPT, ClubGold, Coin Poker, Triton, GTO Lab)
  • ◈ C · QuintAce voice Manifesto, methodology, founder POV

2. WHAT triggers it

  • 1 · Famous hand Recognizable historical hand (Ivey vs Jackson, Cynn 199-hand, Dwan tank-fold)
  • 2 · Topical Recent event — last week's HCL, Triton this month, news
  • 3 · Mechanism Evergreen teaching of a concept
  • 4 · Series Cross-comparison or multi-piece arc

3. WHICH USP it demonstrates (matches the locked Pro Strategy Feature 4)

🎯 α · Off-treeInstant solve any spot — DRL has no precomputed library. Feature 4.1. Library tools fail with "spot not in dataset."
🔀 β · Multiway pots3-way, 4-way, 5-way at full game-tree fidelity. Feature 4.2. CFR-class tools struggle architecturally.
⚙️ γ · Non-standard formatsBig Ante, three-blind, deep stacks (500bb+), MTT ICM, Bomb Pots — variations within NLHE. Feature 4.3.
🃏 δ · Non-standard gamesStand-Up Squid, PLO4/5, Bounty MTT, Guandan — entirely different games. Feature 4.3. No commercial solver has trained data.
🧨 ε · Exploit vs populationNon-GTO best-response vs caller / maniac / nit / station archetypes. Feature 4.4 + 'Who you'll face' + 'What you're doing wrong'.
📰 ζ · AI methodologyDRL + search, published benchmarks (Pio 299/300, ICM 0.28% MAE). Foundation under all of Feature 4. Mostly press / manifesto.

Current coverage — where the gaps are

Drafts cluster heavily on δ · Non-standard games (Squid-heavy). The biggest under-produced cells:

  • α off-tree: ~0 dedicated articles. Highest-leverage gap — real-game USP, perfect for weekly topical content.
  • β multiway: ~1 implicit (HCL 5-way). Big gap — multi-way hand-of-the-week.
  • ε exploit vs population: ~4. Under-served given this maps to 3 of the 4 Pro Strategy money levers.
  • γ non-standard formats: ~5. OK but could use more Big Ante / MTT ICM bubble / Bomb Pot showcases.
  • Partner anchor (B): only 3 (all HCL). Nothing for WPT, ClubGold, Coin Poker, Triton, GTO Lab.
  • Topical trigger (2): only 1. Cadence opportunity — weekly "last week's biggest hand, solver-graded."

Filter when proposing a new article: prefer α / β / ε over more δ. Pair coach (A) with a partner (B) when possible. Aim for topical (2) over evergreen (3) when shareable.

🃏 Poker Content

solver-anchored articles in active drafting 28
Big Ante cash — how the format reshapes preflop ranges ⚙️ γ non-fmt Claim this
big-ante-cash-mechanism
Bounty MTT 4-way bubble: where every other solver stops 🔀 β multiway Claim this
bounty-mtt-multiway-bubble
Bounty MTT — when the bounty changes the calculus 🃏 δ non-game Claim this
bounty-mtt-strategy-shift
ClubGold Big Antes — solver-graded mechanism ⚙️ γ non-fmt Claim this
clubgold-big-antes-solver-graded
Coin Poker Heads-Up Championship — re-grading the deciding hands 🧨 ε exploit Claim this
coin-poker-championship-deciders-regraded
Was the 2018 WSOP Main Event win luck or skill? John Cynn and QuintAI revisit the 199-hand marathon ⚙️ γ non-fmt
cynn-final-table-graded
Your NLHE c-bet sizes are wrong in Standup — here's where and why 🃏 δ non-game
dan-cbet-wrong-in-squid
The Squid penalty pays an implicit ante that adjusts two things — pot odds and ranges. Read those two adjustments and Squid reads like NLHE. 🃏 δ non-game
dan-squid-mental-models
The 4-article Squid Foundations arc — series overview + mapping to Dan's original proposal 🃏 δ non-game
dan-squid-series-overview
The Durrrr Challenge Revisited — What the Solver Says 15 Years Later ⚙️ γ non-fmt
durrrr-challenge-revisited
HCL — an off-tree turn decision the library could not answer 🎯 α off-tree
hcl-off-tree-turn-decision
Reading the HCL field — population leaks vs solver baseline 🧨 ε exploit Claim this
hcl-population-leak-audit
Late Night at HCL — Exploit Reads Over Solver Defaults 🧨 ε exploit
jasper-ma-late-night-hcl
MTT ICM at the bubble — what the solver does at 60bb effective ⚙️ γ non-fmt Claim this
mtt-icm-bubble-deep-stack
The cliff, the texture flip, and what the solver won't tell us 🃏 δ non-game
nick-desperation-polarization
Stand-up Game's Last Two: The Endgame Where the Button Stops Being the Best Seat 🃏 δ non-game
nick-squid-desperation-geometry
Stand-up Game vs NLHE — the on-ramp for NLHE players new to the format 🃏 δ non-game
nick-squid-vs-nlhe-first-orbit
Seven Hands from Patrik's Modern Cash Era: A Solver Retrospective ⚙️ γ non-fmt
patrik-modern-cash
PLO 4-way: nut flush vs set — what the solver actually does 🔀 β multiway Claim this
plo-4way-nut-flush-vs-set
PLO5 vs PLO4 — where the strategy diverges 🃏 δ non-game Claim this
plo5-vs-plo4-divergence
What Pluribus Got Wrong (From Inside) 📰 ζ methodology Concept
pluribus-got-wrong-inside
When rake stops being a tax and starts being a wall 🧨 ε exploit
rake-vs-fishiness
Triton 3-way bubble: ICM + multiway in one decision 🔀 β multiway Claim this
triton-3way-bubble
Triton Madrid — biggest decision of the festival ⚙️ γ non-fmt Claim this
triton-madrid-biggest-decision
Four MTT spots, four grinder instincts, the solver weighs in ⚙️ γ non-fmt
turbo-mtt-grinder-hands
Seven NLHE reflexes you have to unlearn in Standup NLH 🃏 δ non-game
uri-nlhe-reflexes-to-unlearn
Where Game Theory Applies in Poker — and Where It Doesn't 📰 ζ methodology Concept
where-game-theory-applies-poker
WPT Final Table — Hand of the Week (pilot) ⚙️ γ non-fmt Claim this
wpt-final-table-hand-of-week-pilot

📰 Press Content

outlet pitches at outline stage 15
The All-In EV Illusion + QuintAce Rank Launch 📰 ζ methodology
all-in-ev-illusion
Beyond the GTO Floor: Studying Real-Opponent Adjustments 🧨 ε exploit Planning
beyond-gto-floor-real-opponent
The Bots That Beat Humans Don't Look Like the Ones in Science 🧨 ε exploit Planning
bots-beat-humans-vs-science
GTO Is the Floor, Not the Ceiling 🧨 ε exploit
gto-floor-not-ceiling
How to Actually Evaluate a Gameplay AI 📰 ζ methodology
how-to-evaluate-gameplay-ai
How to Tell If a Poker AI Is Actually Good 📰 ζ methodology Planning
how-to-tell-poker-ai-good
Industry / Operator Series 📰 ζ methodology Concept
industry-operator-series
Most Poker Games Have No Solver 🃏 δ non-game Planning
most-poker-games-no-solver
Per-Format Study Guidance: PLO, MTT, Multiway, Squid ⚙️ γ non-fmt Planning
per-format-study-guidance
Pro / High-Stakes Series 🧨 ε exploit Concept
pro-high-stakes-series
Reading Solver Disagreement: A Methodology Deep-Dive 📰 ζ methodology Planning
reading-solver-disagreement-methodology
What the Russian Bots Know That Your Solver Doesn't 🧨 ε exploit Planning
russian-bots-vs-solver
How Exploitable Is Your Solver, Actually? 📰 ζ methodology Concept
solver-exploitability-replication
Three Things AI Hasn't Replaced — A Cross-Domain Field Guide 📰 ζ methodology
three-things-ai-hasnt-replaced
What the Algorithms Can't Do (And Why You Still Need Coaches) 🧨 ε exploit
what-algorithms-cant-do

📚 Books

Stateless-regenerated research manuals (six total). Multi-chapter, LLM-in-content-path pipeline. Internal-rebuild only — books are read-only reference here. Rebuilds require upstream source data + Anthropic API key; run from Thanh's local environment.

Book 1 · Cash No-Limit Hold'em · v1.7.0
📰 ζ · AI methodology

The 8 Pillars of Poker Strategy

and what our solver says about each

51 foundational poker theories from modern GTO literature, tested against our solver at scale. Eight pillars covering equity and ranges, frequencies and balance, position, sizing, board texture, multi-street strategy, advanced concepts, and 3-bet pot dynamics. All theories carry source links and confidence badges.

Demonstrates: 51 foundational Cash NLHE theories tested against the solver at scale. Eight pillars covering equity/ranges, frequencies/balance, position, sizing, board texture, multi-street, advanced concepts, 3-bet pot dynamics. Foundational reference.
v1.7.08 of 8 pillars published
Book 2 · Stand-up Game · v1.8.0
🃏 δ · Non-standard games

Stand-up Game

the first strategy manual

QuintAce's proprietary poker variant (aka Squid Classic) where each pot carries a game-end win token and whoever finishes without one pays a penalty. Nobody else has published strategy research on it. Ten solver-verified mechanisms, grounded in the literal game rules. v1.8.0 complete rebuild with methodology refresh.

Demonstrates: First strategy manual for Stand-up Game (Squid Classic). A game no other commercial solver opens — 9 mechanisms documented across ~2,549 solver queries.
v1.8.09 of 9 parts published
Book 3 · Cash No-Limit Hold'em · v1.8.0
⚙️ γ · Non-standard formats

Cash NLHE Format Transitions

how your strategy shifts when the format changes

How ante structure, table size, stack depth, rake, and compound transitions reshape GTO strategy. Five chapters, each grounded in solver-verified mechanisms. All chapters published.

Demonstrates: How ante structure, table size, stack depth, rake, and compound transitions reshape GTO strategy. Five chapters of NLHE format variations the field under-covers.
v1.8.06 of 6 chapters published
Book 4 · Cash No-Limit Hold'em · v0.1.0
🧨 ε · Exploit vs population

Opponent Modeling & Exploitation

what real opponents do, and how to adjust

Most poker research asks what the solver does. This book asks what real opponents do, how far that is from GTO, and what the optimal counter-strategy is. Starting with bots — the most documented player type in our pool. 12 ranked behavioral signatures, the 'fake nit' paradox, and the sizing polarity inversion that breaks standard MDA logic. **Currently WIP** — awaiting additional research-team data; structure stable, content expansion pending.

Demonstrates: Population-vs-GTO playbook. Starting with bots — 12 ranked behavioral signatures, the 'fake nit' paradox, sizing polarity inversion that breaks standard MDA logic. Exploit-side methodology.
v0.1.02 of 4 parts published2 parts in development
Book 5 · Pot-Limit Omaha (4 hole cards) · v2.3.0
🃏 δ · Non-standard games

PLO4 — Strategy Divergence

where PLO strategy diverges from Cash NLHE

How the trained PLO4 model plays Pot-Limit Omaha versus the Cash NLHE baseline. Nine mechanisms (M1-M9), all T1, covering paired-board cbet suppression, limp-depth inversion, connected-board cbet elevation, wider opens, wider BB defense, turn probe elevation, depth-dependent defense against EP openers, river bet direction reversal after BB turn probes, and BB 3-bet behaviour against LP openers. ~179 solver queries across 9 iterative batches; STOP declared.

Demonstrates: How the trained PLO4 model plays Pot-Limit Omaha vs Cash NLHE baseline. Nine T1 mechanisms (M1-M9) across ~179 solver queries. PLO4 is a non-standard game no other commercial tool covers comparably.
v2.3.07 of 7 parts published
Book 5 · Pot-Limit Omaha (4 hole cards) · v2.3.0
🃏 δ · Non-standard games

PLO4 — Strategy from Zero

how the solver plays PLO from the ground up

Same solver research as our Strategy Divergence book (5b), reframed for readers learning PLO as a standalone game. No NLHE references. Nine mechanisms explained from PLO-native reasoning.

Demonstrates: Same PLO4 solver research as Book 5, reframed for readers learning PLO as a standalone game. No NLHE references; nine mechanisms explained from PLO-native reasoning.
v2.3.0No render
Book 5 · Pot-Limit Omaha (4 hole cards) · v2.3.0
🃏 δ · Non-standard games

NLHE → PLO Heuristic Migration

which NLHE habits work in PLO and which break

One-page migration cheat sheet. Every significant NLHE heuristic → PLO correction with representative solver data. Designed for competent NLHE players who just sat down at a PLO table.

Demonstrates: One-page migration cheat sheet. Every significant NLHE heuristic → PLO correction with representative solver data. Cross-game migration content for competent NLHE players new to PLO.
v2.3.0No render
Book 6 · Multi-Table Tournament · v2.0.0
⚙️ γ · Non-standard formats

MTT — Strategy Divergence

how tournament play diverges from cash

How the trained MTT model plays multi-table tournaments versus Cash NLHE, classified across all 8 Cash pillars (A–H) plus Pillar M (MTT-native). 62 theory entries: 23 TRANSFER CLEANLY, 8 AMPLIFY, 1 TEXTURE-SPLIT/REVERSE, 5 MTT-SPECIFIC MODIFICATION (G4 ICM expanded), 15 UNTESTED (Pillar F multi-street, Pillar H 3-bet pots, shallow-D), 10 Pillar M natives (bounty pricing, stage binning, M-ratio, push-fold crossover, SB limping, chip utility, early-ICM engagement). 8 solver-verified mechanisms (M1–M8) all T1 at single-checkpoint. 914 solver queries (497 MTT + 417 Cash); B1 trust gate 40/55 PASS with identical Cash fail set (E4 Cash NLHE→MTT PASS). **Currently WIP** — blocked on KI-10 (stage-collapse data-emission bug, gameplay-ai owned), M4 downgrade-vs-audit decision, and M-Probe merge resolution (affects book-2 primarily but ripples here).

Demonstrates: How the trained MTT model plays multi-table tournaments vs Cash NLHE, classified across all 8 Cash pillars (A-H) plus Pillar M (MTT-native). 62 theory entries. MTT ICM is a format variation library tools precompute narrowly.
v2.0.010 of 10 parts published
Book 7 · Blood Battle · v0.1.0
🃏 δ · Non-standard games

Blood Battle

what changes when squids accumulate and the multiplier ramps

QuintAce's Blood Battle variant (codename SquidType::BLOOD_BATTLE — the smooth-quadratic ramp in the Squid family) layers two changes onto Stand-up Game: squids accumulate without a per-player cap, and they pay through a quadratic multiplier curve (weight = min(5,s)×s) that peaks at the 5th squid. Six solver-verified mechanisms, all from fresh BB-mode pulls. Currently WIP — Phase 5 drafting in progress.

Demonstrates: Blood Battle (Squid family game with smooth-quadratic multiplier curve). Two changes on Stand-up Game: squids accumulate without per-player cap; quadratic multiplier peaks at 5th squid. Six solver-verified mechanisms.
v0.1.09 parts in development
Book 8 · Squid Hunt Progressive · v0.0.1
🃏 δ · Non-standard games

Squid Hunt Progressive

what changes when squids accumulate and the multiplier hits two cliffs

QuintAce's Squid Hunt Progressive variant (codename SquidType::DOUBLE — the tiered/cliff Squid variant) layers two changes onto Stand-up Game: squids accumulate without a per-player cap, and they pay through tiered multipliers (1× / 2× / 4×) with discrete cliffs at s=3 and s=5. Eight predicted mechanisms; Phase 0 sanity pull confirms the rail returns visibly cliff-aware behavior. Currently WIP — Phase 1 primer drafted; Phase 2 pull campaign pending.

Demonstrates: Squid Hunt Progressive (Squid family game with tiered/cliff multipliers). Two changes on Stand-up Game: squids accumulate; tiered multipliers (1×/2×/4×) with cliffs at s=3 and s=5. Eight predicted mechanisms.
v0.0.19 parts in development