Complete Chat-to-Agent Platform
We help you move from simple AI chat to powerful custom AI agents.
Chat-to-Agent Platform with
Low Floor & High Ceiling
Simple enough for beginners & powerful enough for experts. Start with AI chat and seamlessly progress to sophisticated custom agents as you grow.
Fully Featured AI Chat
Start with a straight-forward AI chat interface that has all the features you are used to from other tools.
- Web search capabilities
- Canvas/artifacts for visual work
- Speech-to-text & text-to-speech
- Code execution & image generation
- File reading & fact checking
Accessible No-Code AI Agents
Transform your chat into an autonomous AI agent that takes action on your behalf, no coding required.
- Customizable agent instructions
- Work with memory & documents
- Human-in-the-loop workflows
- Scheduled tasks & alarms
- External triggers & basic integrations
Advanced Custom Agents
Build sophisticated agent systems that automate complex workflows and integrate with your tools.
- Agent-to-agent communication
- Team of specialized agents
- Extensive enterprise integrations
- Complex workflow automation
- Custom interfaces & dashboards
Many integrations, more added every day
Simple No-Code Agent Demo
Watch how to set up a no-code invoice routing agent that efficiently processes documents, flags irregularities, and directs them to appropriate departments.
Other Example No-Code Cases
Research Agent
Continuously monitors industry sources, compiles insights, and delivers custom reports in a fraction of the time it would take a human analyst.
Q&A Agent
Analyzes company knowledge bases to answer customer and employee questions consistently and accurately, available 24/7.
Routing Agent
Intelligently categorizes and directs incoming communications to the right departments, ensuring nothing falls through the cracks.
Custom AI Agents,
for Complex Workflows
Need specialized AI agents for high-value business processes? We team up with you to co-create powerful custom agents tailored to your unique requirements.
Our Approach
Step 1: Process Mapping
We identify exact workflows to enhance, determining which parts the agent will handle and what tools and data it will need.
Step 2: Agent Prompting
We co-author the agent's instructions and iteratively refine until we see successful completion of the target tasks.
Step 3: Pilot Launch
We deploy the agent in a limited scope, test together, and monitor the quality of its work to ensure it meets your standards.
Step 4: Final Delivery
We onboard more users, plan for further improvements, and explore opportunities for additional agent implementations.
Example Custom Success Cases
Company Screening Agent
For an investment team that regularly acquires companies, we built an agent that screens acquisition targets. The agent analyzes each opportunity against specific criteria, reducing screening time from 5 minutes to just 10 seconds per company while actually improving accuracy - a 95% time reduction.
95%
95%
Business Proposal Agent
We created an agent that helps draft business proposals by gathering project requirements, client information, and relevant case studies. The agent creates a comprehensive first draft that maintains the company's voice and standards - reducing proposal creation time by 70%.
70%
70%
Our Philosophy
We believe in augmentation, not just automation.
Our agents are designed to enhance human capabilities, not replace them.
We ensure users maintain control over agent design and prompts.
Learn how we create AI agentsMaster Agent Building with Our Courses
Already familiar with AI chatbots and prompt engineering? Take the next step in your Gen AI journey and learn to build effective agents for your organization.
AI Agent Course
Our comprehensive agent course helps teams move from basic prompt engineering to designing and implementing effective AI agents. Learn to identify agent opportunities, define requirements, and build agents that deliver real business value.
What You'll Learn
- How to identify high-value agent opportunities
- Designing agent instructions and workflows
- Implementing simple and moderately complex agents
- Requirements for more advanced agents
- Early access to our agent platform during the course