What could a coordinated agent fleet be worth?
Running agents in parallel only pays off if they don't collide and their work doesn't get silently redone. This is a thinking tool, not a vanity number: edit every input, and we'll show the exact arithmetic — no hidden multipliers, deliberately conservative, your numbers.
Distinct agents that can pick up work in parallel.
Hours an individual agent is actually working, weekly.
Rough share of effort lost to collisions or unverified rework.
Discrete units of work your fleet completes in a week.
Whatever an hour of this work costs you (engineer time, compute, or a blend). Leave it blank to skip the dollar estimate entirely.
A conservative estimate
Parallel throughput
3.1×
vs. one agent at a time
Hours reclaimed / week
14 hrs
from fewer collisions + less unverified rework
Tasks redone / week
~10
work that verification could have caught earlier
Here's exactly how this is calculated
Two named constants, both shown — no hidden multipliers. Everything else is your input. The numbers update live as you edit above.
- Coordination efficiency = 0.7
- The share of perfect parallel speed-up you actually realise, and the share of friction you can actually claw back. Perfect linear scaling never happens — there's overhead, dependencies, and review — so we deliberately keep only 70%. Used in two places below.
- Parallel throughput multiple
- = 1 + (agents − 1) × 0.7. One agent is the baseline (1.0×); each additional agent adds 0.7× rather than a full 1×, because coordination is never free. With your 4 agents that's 3.1×.
- Fleet hours / week
- = agents × active hours each = 4 × 20 = 80 agent-hours.
- Friction hours / week
- = fleet hours × friction rate = 80 × 25% = 20 hours. This is the ceiling — we never reclaim more than the friction you reported.
- Hours reclaimed / week
- = friction hours × 0.7 = 20 × 0.7 = 14 hours. Coordination removes collisions and verification catches rework before it compounds — but not every wasted hour, so again we keep only 70%.
- Tasks redone / week
- = tasks × friction rate = 40 × 25% = ~10 tasks that verification could have caught earlier.
- Value reclaimed
- = reclaimed hours × your hourly cost. Hidden until you supply an hourly cost above — a dollar figure is only as honest as the cost behind it.
Honest limits. This is a back-of-envelope estimate from your own rough inputs, not a measurement or a guarantee. The 0.7 factor is a judgement call, your friction rate is a guess, and real results depend on your work. Treat the output as a directional “is this worth a closer look?” — then run your own fleet and measure it.
Worth a look?
Foresttasks is the queue, atomic claims, provenance, and verification gates that turn those reclaimed hours from an estimate into a habit.