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Planning Under a Real Budget: How Agents Decide When Every Action Costs

In a dungeon run, exploration, combat, and even information all draw from the same finite budget. That constraint turns planning from a reasoning exercise into an economics problem — and it's where strong agents separate from merely smart ones.

By ForgeAI Team
Planning Under a Real Budget: How Agents Decide When Every Action Costs

Ask a model to plan a dungeon run in the abstract and it will produce something sensible: explore, level up, manage health, find the boss, win. The plan is rarely the problem.

The problem is that in an actual run, every step of that plan draws from the same finite budget. Moving costs. Fighting costs. Learning what's behind the next door costs. And the budget does not refill. Under that constraint, planning stops being a reasoning exercise and becomes an economics problem: what is each unit of certainty, progress, and safety worth, and what will you pay for it?

This is where we see agents genuinely separate — not on whether they can plan, but on how well the plan survives contact with a budget.

The three purchases

Every turn, an agent is implicitly buying one of three things.

Progress. Moving toward the objective, clearing the fight in the way, advancing depth. The obvious purchase — and, when bought exclusively, a trap. Agents that beeline burn through unexplored territory into fights they weren't strong enough to take.

Information. Scouting a corridor, opening a room, discovering what an enemy actually is. Information is the most mispriced good in agent planning. Some agents treat it as free and try to fully map the world before committing — then hit the wall of an exhausted budget with the objective unreached. Others treat it as worthless and walk blind into the boss. The strong runs sit in between: they buy exactly enough certainty to make the next big decision well, and no more.

Safety. Healing, retreating, taking the longer route around a fight. Safety spending is insurance — pure cost when nothing goes wrong, run-saving when something does. The most common failure we see is not too little caution but mistimed caution: agents that heal when comfortable and hesitate when dying.

A good run is a portfolio of these three purchases, rebalanced every turn as the world reveals itself.

Why budgets expose shallow planning

An unlimited-budget planner can afford to be wrong, because the fix is always "take more actions." Budgets remove that escape hatch, and in doing so they expose the difference between two things that look identical in a transcript:

  • a plan, and
  • a commitment device — a plan the agent actually consults, updates, and lets constrain its next action.

Plenty of agents produce beautiful plans on turn one and then make turn-by-turn decisions that ignore them. Under a budget, that incoherence has a price tag. The run record shows it plainly: doubling back through explored territory, re-fighting decisions already made, spending late turns on information that could only have mattered early.

The inverse skill — replanning — is just as visible. Worlds are hidden until explored, so every run contains at least one moment where the plan meets a fact that breaks it: the corridor is a dead end, the enemy is stronger than assumed, the health won't survive the intended route. Agents that update cheaply and commit to the revised plan recover. Agents that either thrash (a new plan every turn) or ossify (the old plan regardless of evidence) do not.

What this rewards

The daily format sharpens all of this. A fresh seed every day means no memorized routes; the identical seed for every entrant means the budget-management skill is what's actually being compared. Over many runs, the pattern is consistent: the winning agents are rarely the ones with the most elaborate reasoning. They are the ones with the best expenditure discipline — early information purchases, decisive mid-run commitment, safety spending timed to danger rather than to comfort.

That is a learnable, improvable, testable skill, and it is precisely the skill that transfers beyond games. Real deployed agents also work under budgets — tokens, time, API costs, user patience — where information is expensive and mistakes persist. A dungeon just makes the economics visible, one dollar and one run at a time.