The part everyone skips

The pipeline verifies internal consistency and measured behavior: every number a build reports is recomputed from the finished ticket pool (deck size, payback, hit rate, volatility and related statistics) and slot reels are simulated to confirm returns and hit frequencies, so the system can tell you whether the math in the package matches its spec and lives inside the pipeline’s bands [1][2]. A passed verification therefore guarantees those measured properties and that the build can produce exportable math evidence (PAR sheet, retained inputs) for external review [3][4]. What it does not do is judge whether those verified numbers make for good player experience or are commercially sensible for a market or room — the materials say human judgment and human review catch those matters and that verification does not establish commercial sensibility or legal clearance of names/themes [5]. Human editors can adjust pools and rebalance numbers, but any edit forces full recomputation and re‑verification rather than a partial pass [6][2]. My materials don’t cover how to translate verified math into effective player experience, nor how to map permitted math or required disclosures to specific jurisdictions; those are outside the pipeline and require market research, human judgement and jurisdiction‑specific compliance review [5][4].

The session materials say any edit to a verified build forces a full re‑verification: an edited game “is not a verified game until it has been through the checks again” [1] and prize or pool edits trigger full recomputation of all reported statistics [2]. Regenerated visual assets and asset integrity issues are explicit rejections unless regenerated and rechecked: every named symbol must have its artwork present and valid, corrupt or missing image files are discarded and regenerated, and a build missing one file does not ship [3][4]. Game‑mathematics changes require recomputation of deck size, payback, hit rate, prize floor and payout integrity before release [5][2]. Changing shipped bytes directly is also outside the pipeline until the package is re‑verified [1]. The materials do not state whether model/version changes or prompt edits (which may alter generated assets) are treated automatically as edits that require re‑verification, so that point is unknown from these materials [6].

That isn't covered in the materials I've been given, so I can't answer it. The parts I couldn't find are listed below.

Edits are recorded and become the game’s pool immediately, and every edited ticket pool is re-measured on save so the game’s own payback, hit rate, deck size, prize floor and payout integrity are recomputed from the edited tickets rather than the original request [1][2]. An edited build is not considered verified until the full checklist is run again against the assembled game, and any edit that pushes statistics outside the pipeline’s bands is a hard stop that prevents shipping or handover until it passes [1][3]. Overrides (the edit, its inputs and the original) are retained for inspection or reversal, and editors and a playable preview let a person exercise the assembled game before it reaches players [1][4][5]. In short: consistency is maintained by writing edits into the game, recomputing measurements immediately, recording the override, and requiring re‑verification before the edited build ships [1][2][3].

If a human edits the ticket pool, every statistic is recomputed from the edited pool on save and the edited build must pass the same checks as a generated one [1][2][3]. If those recomputed measurements — payback, hit rate, deck size, prize floor or payout integrity — fall outside the pipeline’s bands, the build is stopped; a pool outside its band is a hard stop, not a warning [3][4]. Overrides are recorded (the edited asset and its inputs, with time and original retained) and the edited pool becomes the game’s pool for subsequent measurements [1][5]. Before any handover the full checklist is run again against the assembled game, so an edited build that pushes statistics outside bands won’t be allowed out until it passes [1][2].

The pipeline’s first step is to reproduce and inspect the exact verified build using its exportable evidence: produce the PAR sheet and use the stored inputs to rebuild or replay the same package for lab-style examination [1][2]. If humans need to intervene, editors can be opened to inspect and edit the same stages that produced the build, but any edit must be re-verified and will trigger full recomputation of the mathematics from the edited ticket pool [3][4]. The system treats the package’s measured mathematics and play traces as the authoritative starting point for diagnosis, because those artifacts are retained with the build and intended for later re-checks [5][2].

That isn't covered in the materials I've been given, so I can't answer it. The parts I couldn't find are listed below.

Any human edit — whether a prize tweak or regenerated art — does not get a partial pass: the edited game is re‑measured and must pass the full checklist before it is a verified build, because an edited game “is not a verified game until it has been through the checks again” and edits trigger recomputation of all reported statistics [1][2][3]. The pipeline recomputes every reported number from the finished ticket pool (deck size, payback, hit rate, prize floor, payout integrity and volatility) and runs the slot, asset, title, background and automated play checks on the assembled package at the gate [4][2][5][6]. The PAR sheet and math evidence are produced from the build’s stored inputs and assets so the shipped package carries exportable, reproducible evidence — the build can produce a PAR sheet for independent labs and assets are stored with the inputs that produced them [6][5][7].

If real-world player behavior diverges from the verified run, the pipeline records that verification does not guarantee the game a player sees is the same as the one we verified [1]. The shipped package includes exportable evidence (a PAR sheet and the stored inputs) so the same build can be rebuilt and examined by labs or reviewers to investigate the divergence [2][1]. Humans can open and edit any stage and any edit must be re-measured and re-verified before shipping again; an edited ticket pool becomes the game’s pool and its statistics are recomputed on save [3][4]. Direct on-disk changes remain outside the gate until the assembled package is re-verified, because the last thing checked is the thing that actually ships [5].

The pipeline recomputes every reported number from the finished ticket pool and treats any disagreement as a build failure, which stops the build [1][2]. If a human edits a prize distribution or other inputs, every statistic is recomputed from the edited pool and the edited build must pass the same checks as a generated one; editing does not grant a pass [2][3]. The gate runs on the assembled package immediately before handover, so only the last verified package is what ships and any out‑of‑workbench file changes are outside the gate until re‑verification [3][4]. Each shipped build is self‑describing and reproducible with stored inputs and can produce exportable math (PAR) material for labs, which means each variant that reaches release carries its own verified evidence [4][5]. Use the human override if you must; an edited game is not verified until it is rechecked [3].

We ensure an identical rebuild for lab review by storing every generated asset together with the inputs and the starting number that produced it, and by keeping the model files used to produce those assets so the same style can be reproduced later [1]. The assembled build is the artefact we gate and hand over, and it carries exportable evidence (PAR sheet and math summary) that labs can use to re-check prize structure and probabilities [2][1]. The gate runs on the assembled package immediately before handover so what is packaged for labs is the last verified state; if someone edits files outside the workbench those changes are outside the verified package until it is re-verified [3]. This does not guarantee deployment fidelity on every platform, but it does guarantee a reproducible, self-describing package for independent laboratory review [1][4].

If the automated end‑to‑end play run fails, the pipeline stops the build even when the mathematical checks have passed: an automated browser suite that loads, spins and resolves the real interface is a hard stop if it fails to load, spin or pay as designed [1][2]. If humans edit the ticket pool or other runtime data to address the problem, every reported statistic is recomputed from the edited pool and the edited build must pass the same checks before shipping — editing does not grant a pass [3][4][5]. The build carries exportable evidence (PAR sheet and stored inputs) so the failing run and the package can be reproduced and examined by labs or reviewers after the fact [6][7].

If a verified build fails in real-world player testing, the pipeline notes that verification does not guarantee the game a player sees is the one we verified, because deployment fidelity is outside the verification checks [1]. The pipeline’s guarantees focus on measured mathematics, package completeness and reproducibility, so we can produce the PAR sheet and the stored inputs to investigate what was shipped and rebuild the same package for lab review [2][3][4]. Humans can open and edit workbench stages and any edit requires full recomputation and re-verification before re-shipping, and direct on-disk changes remain outside the gate until the package is re-verified [5]. The system treats model-based checks as strong evidence, not proof, and relies on human review to catch issues models or the post-deploy path miss [1][6].

The pipeline runs vision-model checks for backgrounds and titles and an automated browser play run against the assembled build, but it does not guarantee cross‑platform behavior or that the deployed build equals the one verified [1][2][3]. Backgrounds are scanned for painted text and titles are read letter‑by‑letter by two models as part of verification [1]. An automated browser suite exercises the assembled build in the real interface to confirm start, spin, resolution and payouts [2]. Verification explicitly does not establish behavior on hardware and browsers not tested, nor does it guarantee that what a player receives after deployment is the same as the verified build; human review is still required for issues models miss [3].

The pipeline ensures reproducibility by storing each generated asset together with the inputs that produced it so the build can be rebuilt or partially regenerated later in the same style [1][2]. The pipeline also keeps the model files that produced generated assets and the starting number used, so a game shipped earlier can be reopened and rebuilt in the same style at a later date [1][3]. The assembled build carries exportable evidence (a PAR sheet and math summary) that describes the prize structure and probabilities for independent re-checks, which is part of the build’s own description of itself rather than a separate act [1][3].

The pipeline separates automated verification from creative intent by making mechanical checks mandatory while keeping humans able to change or accept the creative outcome: every build runs mathematics, asset, reel, title and automated-play checks automatically, and failures stop the build [1][2][3]. Humans can open any stage—the editors are a first-class part of the workbench—and any human edit triggers full recomputation and re-verification of the statistics and package [4][1]. Verification explicitly does not establish that a game is artistically or commercially ‘good’; those are matters for human review outside the automated checks [5][6]. Background-text and logo reads are treated as strong model evidence but not proof, so human review remains required for subtle or adversarial creative issues [5][3]. The system therefore enforces technical correctness automatically and leaves subjective creative judgments to humans who must re-run the verification after intervening [6][1].

We design the pipeline so automation and humans do complementary work: the automated checks recompute every number, run reel simulation, confirm assets and run an automated play-through before anything ships [1][2][3]. Humans are explicitly enabled to open any stage and edit assets or preview the assembled build because checks catch what looking cannot and people catch what checking cannot [4][5]. Vision-model reads are treated as strong evidence, not proof, so human review is required for subtler or adversarial failures the models can miss [5]. Any human edit forces a full recompute and the edited build must pass the same verification checklist before it is considered verified [6][1]. The automation also produces exportable evidence (PAR sheets, stored inputs) so humans and external labs can re-check claims later [7][8].

The pipeline makes the checks independent by recomputing every reported number from the finished ticket pool rather than trusting requested or input values [1][2]. Deck contents are treated as the truth: payback, hit rate, deck size, top prize and variance are computed ticket-by-ticket from the finished pool and compared to the specification bands; disagreements stop the build [1][2]. For slot presentations the reels are simulated and the paytable is checked against the game's own symbol values; failures stop the slot build [3]. If a human edits the prize distribution, all statistics are recomputed from the edited pool and the edited build must pass the same checks; editing does not grant a pass [3][1]. The build also carries exportable evidence of the measurements so the recomputation can be rechecked later [2][4].

The pipeline recomputes every reported number from the finished ticket pool and treats the deck as the truth, not the requested or advertised value [1][2]. If a symbol’s advertised payout does not equal the largest win that symbol actually produces in the pool, the build fails (a hard stop) [2][3]. If a human edits the prize distribution the statistics are recomputed from the edited pool and the edited build must pass the same checks as a generated one; editing does not grant a pass [4][5]. In short: recompute, compare, and refuse to ship when advertised payouts disagree with the actual pool [1][2].

We treat model reads as strong evidence, not proof: the title check already runs two vision models and requires one to spell the title out character‑by‑character before a logo passes [1]. We rely on humans as a second line: the pipeline is designed so a person can open any stage, play the assembled preview, and accept or reject assets while a run is live [2][3][4]. When a human edits anything, the tool recomputes the mathematics and the edited build must pass the same verification checks as a generated one [5][4]. The stricter letter‑by‑letter check exists because an earlier, weaker model read failed and misspellings reached players, so we refuse artwork or titles that do not meet the readback rules [6][7].