From research agents and support bots to multi-step planners that chain together tools, agents are how modern AI gets things done. These aren’t just chatbots — they’re orchestrators of action, capable of real-world results. At CONFLICT, we build autonomous systems that go beyond conversation — they browse, fetch, analyze, summarize, and take action. We engineer agents that are fast, reliable, and purpose-built for your stack.
Let your software think, decide, and act — all on its own.
What We Build
Tool-Using Agents
LLMs that can interact with APIs, codebases, filesystems, and external services.
Multi-Step Reasoning Systems
Chain-of-thought logic that breaks down tasks and executes them across tools.
Task Planning & Memory
Agents that recall past actions, learn from outcomes, and plan intelligently.
Retriever-Connected Agents
Combine with RAG and search pipelines for grounded, up-to-date performance.
Web-Browsing & Navigation
Browse the web, scrape content, or simulate user interactions via headless browsers.
Observability & Cost Controls
GPU usage tracking, autoscaling rules, monitoring, alerting, and logging.
Security & Constraints
Agent execution sandboxes, rate limits, safety checks, and activity logging.
Multi-Agent Collaboration
Engineer swarms, co-pilots, or hierarchical agent systems with defined roles and protocols.
Auto-Pilot Interfaces
Let agents use your internal tools or admin dashboards on behalf of users.