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Identity refresh · 2026

BenchFlow builds the environments AI agents learn in.

Four products stopped looking like four companies. SkillsBench, ClawsBench, PostTrain Arena and the runtime now share one ground, one type system and one URL space — and the teal is gone.

Information architecture

Everything becomes a route under BenchFlow

4 products · 1 domain
01 benchflow.ai/skillsskillsbench.ai

SkillsBench

Does loading a skill make an agent better at real work? 86 tasks, 11 domains, 25 model × harness configs.

open ↗
02 benchflow.ai/clawsclawsbench.benchflow.ai

ClawsBench

Five mock workplaces wire-compatible with the real Workspace and Slack APIs. Capability and safety, measured separately.

open ↗
03 benchflow.ai/posttrainposttrain.com

PostTrain Arena

You contribute environments; we post-train on them and score what generalizes across eight under-served domains.

open ↗
04 benchflow.ai/runtimegithub.com/benchflow

BenchFlow runtime

One Scene-based lifecycle for single-agent, multi-agent and multi-round evals. TaskMiner and the capability viewer sit on top of it.

open ↗
Type system

One family, three jobs

Display · headlines and the wordmark
Environments are the new data
Body · running text and UI
Models in 2026 do not get better from more static prompts. They get better from running through realistic environments and being judged on the whole workflow — which is why the environment, not the prompt, is the product.
Mono · code, data, metadata
resolution 49.2% · wall-clock 8m41s
tasks 86 · domains 11 · trials 7,224
Ground
sand paper clay deep
Beige ground, SkillsBench clay as the single pop. No teal, no green anywhere in the system.
Thesis

Data is the bottleneck. Environments are the new data.

1.0

Labels

Image tags, span annotations, yes/no labels.

2.0

Post-training

SFT, preferences, reward labels, short trajectories.

3.0 · we are here

Environments

Stateful workplaces with services, files, tools, verifiers, replay.