Causal LLM Agents and Personalization Insights
Work with our team to learn how AI Agents can be potentially applied to individual customer data for personalized insights.
AI one project, many capabilities
We bring forward deployed specialists to your project
Engage with our FDEs Integration is the priority
The FDS's initial task is to function as a consultant and product/service developer.
FDS next tasks center on presenting functional deliverables, validate and test building a framework of evals, create those signals of initial success and direction.
The FDE focuses on into engineering tasks, scalability, and user adoption improvement.
FDE value grows with time and project knowledge, accelerating optimization and impact.
-
2-4
weeks
for team onboarding
Designing your solution using our Team-Services-Agents-Rollout Fit
Achieving the right balance between an agent’s autonomy for efficiency and scale, and reliable control and traceability for safety and trust
01. Work with a broad operations and business issue.
02. Identify specific pain points within existing workflows.
03. Define a tractable scope for an initial proof-of-concept.
0.4 Build a minimally viable solution, deploy it for immediate feedback, and iterate in real-time based on user reactions.
0.5 Scale use cases: Complexity, variability, regularity, mutability.
0.6 AI model optimization. Dataset readiness and calibration. Evaluation framework “evals”
0.7 Deployment onto the production infrastructure, on-premises or in the cloud.
0.8 Monitor for the right balance between an agent’s autonomy for scale, and reliable traceability for safety.
09. Continuously ensure higher Adoption and User Satisfaction
10. Long-term advisory and support.
We invite start-ups to explore Causal LLM agents for Marketing with Contrarianpl.ai. One customer, many capabilities adapted to your operations.
1. Persona building and discovery
2. Game theory-based conversion messages
3.Individual customer data personalization insights
