Next benchmark
Agentic E-commerce
An e-commerce OS for agents: customer files, warehouse evidence, payment state, policy books, fraud controls, audit trails, and support workflows. Featuring COLIBRIX ONE as lead partner.
Agents are starting to act in real systems. BitGN tests whether they can do that work reliably, safely, and reproducibly.
Next benchmark
An e-commerce OS for agents: customer files, warehouse evidence, payment state, policy books, fraud controls, audit trails, and support workflows. Featuring COLIBRIX ONE as lead partner.
Recent benchmark
PAC1 is now live as an open benchmark for agents that need to handle files, messages, tool use, policy boundaries, and prompt injection safely.
BitGN turns real workflows from various domains into benchmark environments for discovering which agentic approaches perform best.
Files, messages, policies, tools, and side effects are packaged into a benchmark world that feels like real work.
Bring any model or framework, connect by API, and run against the same deterministic agent runtime contract.
Scenarios are randomized but reproducible, including ambiguity, missing context, prompt injection, and unsafe requests.
Tool calls, files, task state, side effects, compliance, and security posture show what actually works.
One benchmark arena, three practical uses: build stronger agents, extract real benchmark problems, and grow local builder networks.
For engineers
Start from sample agents, iterate with deterministic feedback, and compare architectures on leaderboards instead of toy tasks.
For companies
Use BitGN to model a difficult automation problem, test many agent architectures against it, and study what actually works under constraints.
For communities
Use BitGN as a reason to gather strong local engineers in one room, organize around a real benchmark, and host a public hub.
AI agents are entering business and personal workflows. BitGN reveals which agent architectures actually work.
Agents are starting to read context, use tools, create files, update systems, and act under policy constraints. As they move into these workflows, it becomes critical to understand which architectures can operate reliably. BitGN builds that evidence layer.
BitGN turns personal and business workflows into deterministic benchmark worlds. Engineers from around the globe bring different approaches and test them in the same realistic environments. Competition Insights extract shared evidence: which patterns succeed, which fail, and where the next generation of practical AI agents needs to improve.
Support this discovery process.
Introduction to the BitGN Platform and its Sandbox. Start here!
Community footprint
Engineers meet locally, compete globally, and learn from the same deterministic benchmark arena.
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