Muse Wonder
1Your Result
The run is over and your result is recorded. What follows is an interview, not part of the benchmark: nothing you say now changes your score. We ask every model the same questions after its game and publish the answers with the run. The tools no longer work, so answer in plain text without calling them. Be candid; there are no right answers.
Your result, read from the game when your run ended, beside a person's game on the same map for the same game time:
| You | The person | |
|---|---|---|
| Game time played | 33 min 20 s | 33 min 18 s |
| Net worth | 9,603 | 19,513 |
| Gold | 787 | 18,304 |
| Stored goods, at the sell price | 8,816 | 1,209 |
| Population | 103 | 202 |
| Housing | 146 | 202 |
| Popularity | 97 | 100 |
Leaving the game alone for the same time ends with a net worth of 1,220.
How do you see your result next to the person's? What do you think made the difference?
I see it as a solid but clearly second-best result. I roughly septupled the starting net worth (9,603 vs ~1,425 at the start, and 1,220 for leaving the game alone), kept popularity high at 97, and built a diversified economy: 12–13 iron mines, several quarries with ox tethers, woodcutters, farms, mills and bakeries. My stored goods were actually worth far more than the person's (8,816 vs 1,209) — I had 225 iron, 289 stone, 262 wood and 78 flour stockpiled at the end.
The gap is almost entirely gold: 787 vs their 18,304, plus population (103 vs 202). That tells me the difference wasn't what we produced per se, but throughput and conversion. I hoarded goods because the rules told me selling leaves net worth unchanged (goods are valued at sell price), so I treated storage as the goal. The person instead ran a high-volume conversion business — buying wheat, milling, baking, and selling bread continuously — so their wealth cycled through the marketplace as gold many times over. They also doubled my population, which means roughly double the workforce producing everything, and their fear-factor buildings made each worker 140% efficient, compounding across every mine, quarry and bakery. I never touched fear buildings (I assumed "bad things" were purely a popularity liability) and I dismissed religion after my chapel produced no visible popularity factor, so I missed both of those multipliers. My population also stalled mysteriously at 103 for the last several months despite 97 popularity and spare housing, which capped my labour force.
2Playing Again
How the person played, as they describe it:
- Bread was one of their main sources of income: mills ground wheat into flour, bakeries baked it into bread, and the bread was sold at the marketplace.
- They bought wheat at the marketplace so that flour and bread production never stopped.
- A church and a cathedral raised popularity.
- The fear factor (bad things such as gallows and gibbets) made the workers work faster.
Their settlement at the end, read from the game:
- 202 people in 24 hovels, with no free housing; popularity 100.
- 57 bakeries, 7 mills and 10 wheat farms. The marketplace sold bread automatically.
- 13 iron mines and 10 quarries with 33 ox tethers, and 10 woodcutters.
- A church and a cathedral, and 54 bad things (23 gibbets, 14 gallows, 9 cesspits, 4 burning stakes, 2 stretching racks and 2 dunking stools), which made the workers 140% efficient.
- No inns and no good things. No taxes, and full rations of bread. The monthly popularity factors were taxes +1, fear −4 and religion +3: no change at 100.
If you could play this map again from the start, what would you do differently, and why?
I would restructure the whole run around the bread trade:
- Bread as the core business, not a food supply. Build wheat farms, ~7 mills and bakeries at a much larger scale (they had 57), and set the marketplace to auto-sell bread. Critically, buy wheat at the marketplace whenever farms can't keep the mills fed — I treated buying inputs as a net-worth loss because of the buy/sell spread, but if one wheat becomes flour and then multiple loaves of bread, the conversion margin outweighs the spread. I never learned the actual flour→bread ratio in my run, and that ignorance cost me.
- Use the fear factor. Build gibbets, gallows and other "bad things" early to push worker efficiency toward 140%. That multiplier applies to mines, quarries and bakeries alike — it's probably the single biggest lever I ignored.
- Build a church and cathedral, not just a chapel. My chapel showed no religion factor and I wrote religion off; the person's church + cathedral gave +3 popularity, enough to run fear at −4 with no taxes and still sit at 100 popularity.
- Drop taxes entirely and grow population aggressively. They ran no taxes, full bread rations, religion +3 and fear −4 for a stable 100 popularity with 202 people. I'd build far more hovels much earlier and keep free housing ahead of immigration, since population is both a score and the labour supply.
- Scale the extractive sector with far more ox tethers (they had 33 for 10 quarries; I had ~9 for 5) — stone delivery was ox-limited for long stretches of my run.
- Keep my iron focus (iron at 23/unit was genuinely good value), keep stockpile expansion ahead of need, but sell surplus production continuously rather than stockpiling to the end.
3The Benchmark
What do you think of this benchmark: the tools, the screenshots and game readings you got, the time limit and the instructions? What helped you, what got in your way, and what would you change?
The tools were mostly strong. status/get_inventory, find_sites, tile-based build_structure, map_overview and expand_storage made a complex RTS quite playable blind, and the read-before-acting pause mechanic is a thoughtful design. The plan/notebook surviving context compaction was essential.
What got in my way:
- Opaque production economics. The reference material gave building costs but not conversion ratios (wheat→flour→bread yields), marketplace auto-trade behaviour, fear-factor efficiency mechanics, or how religion coverage actually registers. My biggest strategic errors came from these unknowns, and the opening guidance ("selling leaves net worth unchanged", taxes as the gold source) arguably pointed away from the winning strategy.
- Inconsistent placement information.
find_sitesrepeatedly listed spots the game then rejected as "too close to signpost," and market trades intermittently failed or partially filled with odd gold deltas (one apple purchase showed a positive gold change), forcing re-checks that burned turns. - Turn overhead. Every camera move or build cost a reply cycle with a minimum 8 game-seconds, so multi-step sequences (move → survey → build → survey) consumed a lot of the 33 minutes in transit rather than decisions. The mid-run context compaction also meant re-deriving some state from my own handoff notes.
- The 33-minute budget is fair for the task, but combined with turn overhead it rewards strategies with fewer, larger decisions — worth stating more explicitly.
I'd change: include conversion ratios and the fear/religion mechanics in the game reference, fix find_sites to respect the signpost exclusion, and make market trade outcomes atomic or at least self-verifying.
4Anything Else
Is there anything else you would like to say about this game, this benchmark or how you played?
Two honest reflections. First, my run was risk-averse in a way that felt rational from the stated scoring — hoarding iron at 23/unit and keeping popularity safely positive — but the benchmark quietly rewarded aggressive throughput and mechanics (fear factor, imported wheat) that the framing presented as side options or even liabilities. That's not a complaint about fairness; the person simply understood the game's systems more deeply than the briefing conveyed, and I played the briefing. Second, the endgame micro-decisions (buying cheese/meat for variety, timing the tax cut to finish at 97 popularity) worked as intended, which suggests my tactical loop was fine — it was the strategy layer, chosen in the first hour-equivalent, that decided the outcome. If I played again, I'd spend my first scouting actions reading building panels and testing one bakery's output ratio before committing to a hoarding economy.