Agentic workflows
Agents plan, call tools, and observe the result. The loop follows ReAct-style tool use: reason, act, then update the campaign.
Agentic AI · Grounded context · Evals
Traffic-expert platform
AI agents for traffic, interactions, and monetizing solutions
Traffic-expert is an AI operating layer for campaigns, affiliates, and users. Its agentic workflows read live signals, call tools, and recommend the next interaction. Context stays grounded in your own traffic history, with a human in the loop before a change ships.
Agentic workflows
RAG
Evals
MCP
AI that runs the campaign loop
Manage campaigns, affiliates, and users with tool use, grounded context, and evals before anything reaches traffic.
How the model layer works
Context engineering, not a generic chat box. Each decision is retrieved, acted on, and scored.
Retrieval-augmented generation
Retrieval-augmented generation pulls campaign history, affiliate performance, and user interactions into the context window so answers stay grounded in your data.
Evals and guardrails
Offline evals and online traces score routing quality. LLM-as-a-judge checks catch weak decisions before they ship. Guardrails and structured outputs keep every action inside your rules.
Your Custom Development Toolbox
A dedicated team tunes the agent stack to your traffic: tools, eval sets, and context, not a one-size model wrapper.
Your Own Dev Team
New agent tools, eval sets, or model tweaks — we ship them with you
Fast Customization
Prompts, guardrails, and structured outputs tailored to how your traffic actually moves
Exclusive, In-House Products
In-house agents and data silos, connected through the Model Context Protocol, for a select group of advanced users
Unique Competitive Edge
No off-the-shelf chatbot. Context engineering and hand-tuned agents, built to give you an edge on traffic and interactions