insights · token efficiency, not token maxing
Same battery.
Different mileage.
Everyone’s capped at the same token budget. Same models, same limits, same ceiling. The question is who gets the most done with it — and ZeroShot gives you the receipts.
[1] · are you getting better?
Watch your team get better at this.
Is your codebase getting easier to work in? Are your agents getting more efficient? ZeroShot reads your history and tells you straight — fewer corrections, less friction, and more shipped per token, month over month.
[2] · we find the waste
See exactly where your tokens
& tool calls leak.
ZeroShot scans your agent sessions, flags the tool-call and token inefficiency — re-derived context, rebuilt UIs, re-litigated reviews — and suggests the exact skill that fixes each, with the savings attached.
[3] · the leaderboard
Who’s a surgeon,
who’s a shotgun.
ZeroShot scores your team on output per token. Spending the most tokens isn’t the flex — getting the most done with them is.
[4] · prove it to your CTO
See exactly what you saved.
Tool calls intercepted, tokens saved, broken down by team. The number a CTO needs to sign off — and the proof your engineers are getting twice as far on the same budget.
[5] · same feature. half the tokens.
You’re not blocked on talent.
You’re blocked on
using your tokens better.
When your agent has your team’s skills, it gets the build right the first time — no re-deriving context, no re-litigating conventions, no burning a review cycle on the wrong thing.
Same feature, same agent. The difference is whether your team's skills intercept each step — so the agent gets it right the first time instead of iterating.
/bb-specify/bb-plan/bb-review/trust-but-verify[6] · the full picture
Everything your agent sessions
can tell you.
One read of your sessions and the whole picture surfaces — what you’re working on, where the tokens go, and how it’s all trending.
Token spend split across research, features, bug fixes, and refactors — see where your team's effort actually goes.
Spend broken down by repo, person, and PR, with a 30-day trend and month-end projection.
A 0–100 score from token windows, tool pressure, signal coverage, and repair / scope drag.
Time saved, shipping speed, and tokens-per-ship — before and after your skills kicked in.
Which codebase areas your skills actually cover — skill-system, docs, tests — with a confidence read on each.
How you stack up against your team and the global ZeroShot cohort on efficiency and output.
Every friction event, signal type, and piece of evidence ZeroShot pulled from your sessions.
Token reduction: current vs. projected spend, with savings attributed to the work that's actually reducible.
The sessions that took the most steering, ranked — the back-and-forth quietly draining your budget.
the receipts · the bill came due
"The conversations are never about capability now. Now they’re about, ‘hey, we’re spending so much.’"
— Alexander Embiricos, Head of Enterprise, OpenAI · via TechCrunch →
"One of my engineers spent $40,000 on tokens last month, and I genuinely don’t know whether I should stop him."
— Vitaly Gordon, CEO, Faros AI · via TechCrunch →
"I'm blocked from using agent tools the second I hit my budget.
— Nikhil Shinday, CTO
Everyone is asking the question. ZeroShot is the answer with receipts attached — not "trust me," but tokens saved, tool calls intercepted, per team, per week.