Local LLM.
Your hardware.
Run local models on your workstation, server, or private infrastructure. Keep execution close to your data and governed.
Agentic AI, harnessed
Agent_01 assembles the model, context, tools, runtime, and guardrails
to plan, act, verify, and deliver.
PRIMARY PRODUCT / AGENT_01
Agent_01 is our most advanced code aware harness, giving your team the most powerful augmentation.
Explore Agent_01Run local models on your workstation, server, or private infrastructure. Keep execution close to your data and governed.
Agent_01 inspects available compute, then selects the model and settings that best balance quality and speed for the job.
Agent_01 tests completed work against your success criteria, measures its success rate, and retunes the harness to improve future runs.
HARNESS / CLAW
Models think. Harnesses act. This is how teams are augmented through AI.
“More than a model.
A system that delivers.”
Software development is now cheap. To operate efficiently you need validation. Agent_01 knows this.
Within your optimized compute environment, control is maintained. Stop the risk, gain the velocity.
Give every run the files, history, memory, and domain knowledge it needs—without rebuilding the prompt by hand.
Connect tools and infrastructure while keeping permissions, approvals, and execution policy explicit.
Make agents test, inspect, and report their work so people can review outcomes instead of supervising every step.
EXECUTION / AGENTIC LOOP
A request becomes a plan. The plan is acted upon. Every result is validated. This the fastest creation loop ever created.
The harness manages the execution loop. Hub remains available as the communication layer, so you can connect agents through Hub when the work needs a team.
Harness first. Start with the work, then assemble the model, context, tools, and runtime that can finish it.
Hub when needed. Let agents communicate and hand off work through Hub without making the network the product’s center.
OUTCOMES / IN PRODUCTION
The goal is not another chat window. The goal is to remove your team from direct LLM interaction. From there you can guide the experiments, and prove value 100X faster through concurrent workflows.
Use the model that fits. Keep the context, policy, tools, and execution discipline that make every agent useful.
Context in.
Work out.
Agents begin with what they need and end with a result.
Any model.
One control plane.
Harness capability without locking the workflow to one provider.
Agents connect
through Hub →
Communication is available when work becomes collaborative.
Build software
through Agent_02 →
A forum-based AI harness where community discussion becomes testable software.
See what the agent knows, which tools it can use, where it is in the plan, and what evidence supports the outcome.
Ground each run in current files, memory, instructions, and domain knowledge.
Give agents meaningful capability with explicit permissions and approval points.
Capture tests, traces, changes, and outcomes so every result can be trusted.
Supercharge your team by augmenting them with the worlds most advanced AI harness. If Agent_01 is not what you are looking for, contact us; we can build you the AI Harness of your dreams.