Faster repeats
The work that comes back finishes sooner. You get the outcome without waiting through the long run again.
LESS WAITING INTELLIGENCE, COMPILED.
Too cheap to meter.
450x cheaper than Opus, 16x faster.
Explore the model ↓Measured results
- 450x
- cheaper than Opus
- 16x
- faster
- $0.000229
- per invoice run
- 1.2s
- invoice reconciliation
01 / THE IDEACompiled Agent Models
Repeat the outcome.
Not all the reasoning.
Agents are good at figuring out unfamiliar work. But familiar workflows still pay for planning, tool selection, and repeated model calls.
InferenceIndex learns from the first agent runs and compiles what repeats into a Compiled Agent Model: a reusable way to carry out the same kind of work on new inputs.
The goal: reduce agent latency on repeats, with checks and a path back to the full agent.
WHAT YOU GETone workflow / many runs
INPUT
Prompt →
01
Step 1 ····
02
Step 2 ····
N
Step N ····
OUTPUT
Outcome ✓
02 / HOW IT WORKSFaster · Cheaper · Again
Repeat work, faster.
And cheaper.
Cheaper repeats
Repeat work costs a fraction of paying the long way. Compiled Agent Models keep the result and cut the spend.
LOWER COSTCompiled Agent Models
What you get is the outcome, again: repeat work that is faster and cheaper on the next input.
THE OUTCOMEILLUSTRATIVE DEMO / SANDBOX DATA
Same request. A different path.
This workflow is already a Compiled Agent Model. The repeat run takes fresh input.
EARLY REPEAT RUNS
5–10×faster
Repeat runs often 10-100x cheaper on our tests.
USER
Update Alex Morgan’s phone number to (202) 555-0146.
Conventional agentREPEAT THE PROCESS
InferenceIndexREUSE THE WORK
Illustrative activity, not a live run. Reported results vary by workflow; animation timings are illustrative.
03 / WHAT IT'S GOOD ATRepeat work
What AI agent workflows it's good at
The jobs that come back.
A Compiled Agent Model fits work you already repeat: same job, new inputs, a faster and cheaper result.
Support ticket triage
The same 30 kinds of tickets, sorted and tagged the same way, all day.
About 0.5s and $0.00009 per repeat, vs about 10s and $0.012 for a frontier agent.
Invoice reconciliation
It’s the same match every month, just with new vendors, amounts and dates.
2/2 passed, 1.3s, $0.00014 per run.
Lead follow-up
New lead, same research, same personalized first touch.
2/2 passed, 1.2s, $0.00011 per run.
Meeting notes to CRM
Every call ends with the same summary, next steps and field updates.
Inbox sorting and replies
Most email is a handful of request types with known answers.
Weekly reporting
It’s the same metrics, the same sources and the same write-up every Monday.
Onboarding new customers
Same accounts to create, same welcome steps, a new name each time.
Content repurposing
One post becomes a thread, a LinkedIn post and a newsletter blurb, the same way every time.
THE SAME TASKInvoice reconciliation
AI agent cost
on one invoice task.
Opus 5.5 took 21.3 seconds and cost $0.105. The Compiled Agent Model took 1.2 seconds and cost $0.000229.
| Model | Time | Cost |
|---|---|---|
| Compiled Agent Model | 1.2s | $0.000229 |
| GPT 6.1 Sol | 16.8s | $0.0076 |
| Astra 6 | 17.0s | $0.042 |
| Opus 5.5 | 21.3s | $0.105 |
| Fable 5 | 18.3s | $0.26 |
Demo
04 / WHERE IT FITSA different source of leverage
Lower LLM inference cost for agents
Stop repeating the work.
A better call still leaves the next call. InferenceIndex targets the recurring work itself, so familiar steps don’t need fresh reasoning on every run.
REUSE THE WORK
WHAT CHANGES
The next run keeps what was learned.
The first runs become a Compiled Agent Model. A fresh input can reach its outcome without rediscovering the familiar steps.
Targets repeated reasoning across the workflow.
05 / FAQStraight answers
Compiled Agent Models,
in plain terms.
What is a Compiled Agent Model?
A Compiled Agent Model is the repeatable part of work an agent has already figured out. You discover the workflow with the full agent, compile what repeats, and run that model on new inputs, with checks and a path back to the full agent.
What do repeat runs cost?
Repeat runs often 10-100x cheaper on our tests. Savings depend on the workflow, and a run falls back to the full agent when the learned path no longer fits.
Does a Compiled Agent Model replace the workflow?
The workflow stays the work. A Compiled Agent Model is how a familiar workflow gets reused, so the next run does not have to rediscover it.
06 / THE NEXT RUNLess rediscovery.
Less rediscovery.
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Be first to hear when InferenceIndex is ready for your workflows.
YOUR NEXT STEP / OPTIONAL
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