Author
Hand-crafted, reinforcement-learning, and language-driven agents enter through the same legal-action interface.
Forensic QA, with receipts.
Build agents that play the real game. Run them headlessly at scale. Ask the results anything. Trace every answer back to the game that produced it.
Playthrough Console / full film02:54
The loop
From a game question to an answer you can defend.
Use our agent architecture, bring your own simulation, or work with us to build both. Playthrough keeps the engine at the center of the evidence chain. It never substitutes a vision proxy.
Play
Agents run the real engine headlessly across thousands of seeded, version-stamped matches.
Interrogate
Ask one run or an entire tournament a question in plain language. The Console writes queries and re-runs the replay.
Verify
Intervals reveal when a difference is signal rather than noise. Replay and error checks reveal whether the result is trustworthy.
Act
Turn a defensible finding into a balance change, prompt revision, regression fix, or next experiment.
What it opens up
Test how your game really behaves.
Agentic simulation creates experiments where a human playtest alone can only create anecdotes.
Play the change first
Run a card, unit, or economy change through thousands of different games before it reaches a human playtester.
Grade the agent in-game
Compare scripted, RL, and LLM agents on identical legal moves, with win rates and intervals instead of impressions.
Replay what changed
Re-run prior games against a new engine version and see exactly which outcomes moved and by how much.
Train where you grade
Use the simulator as the RL environment so training progress and gameplay results share a single measurement system.
Ask in plain language
Let production, QA, design, and ML teams explore the same source of truth without learning a specialist query language.
Catch contaminated metrics
Find the fallback, provider error, or engine exception that would otherwise turn a bad run into a confident decision.
“Statistics say how the run went. Errors say whether you can believe them.”Playthrough design principle
Bring your hardest balance question
Let the agents play it out.
Plug in your simulation, build an agentic harness with us, or start with a focused proof of concept around one high-value question.
Start a Playthrough conversation