The Problem: Why Current AI Agent Approaches Fail
Designing and using LLM Model-based chatbots can be frustrating. These agents often fail to perform tasks reliably, leading to a poor customer experience. They can go off-topic and struggle to complete tasks as intended.
Common Solutions and Their Limitations
Many strategies to improve these systems have their drawbacks:
- Longer Prompts: While they may reduce errors, they don’t fully prevent off-topic responses and can slow down performance.
- Guardrails: These can stop the chatbot when it deviates from tasks, but this can negatively impact user experience.
The Impact of These Issues
The consequences are significant:
- Eroded Trust: Users lose confidence in the bot and your brand when responses are incorrect.
- Compliance Risks: Erroneous statements can lead to legal and financial issues.
- Lost Sales: Off-topic agents can hurt conversions and sales.
- Lost Customers: Unprofessional chatbots can drive customers away permanently.
Real-World Examples
These issues are critical in various sectors:
- A bank’s customer service agent giving inconsistent advice.
- An e-commerce sales agent mispricing products.
- A healthcare agent providing unverified medical suggestions.
A New Open-Source Approach: Parlant
Parlant offers a dynamic control system that ensures agents follow your business rules by activating the right guidelines for each situation.
How Parlant Works
Parlant includes several key components:
- Guidelines: These define how the chatbot should respond in various scenarios, ensuring relevant guidelines are applied in real-time.
- Coherence Checker: This validates guidelines for consistency, preventing confusion in decision-making.
- Glossary: Defines specialized terms to maintain consistent terminology.
- Tool Service: Allows the chatbot to access external data, enhancing its responses with real information.
Bonus Features
Parlant also includes:
- Guardrails and Content Moderation: These features help filter harmful content and redirect sensitive topics to human agents.
- Content Filtering: Keeps conversations respectful and prevents users from manipulating the agent.
- Paranoid Mode: Maintains the chatbot’s boundaries to prevent unauthorized behavior.
The Agent Development Journey Evolved!
Parlant allows you to build and refine your chatbot gradually. Start with basic guidelines and evolve as you learn about your customers. Being open-source, you can benefit from community contributions and best practices.
How to Try Parlant?
The source code is available on GitHub under Apache 2.0. Check it out to explore the growing trend of 2025. A simple “Star” on the repository shows your support!
- GitHub Repo – Access code, tutorials, and documentation.
- Tutorials & Guides – Learn to set up your first Parlant-powered agent.
Transform Your Business with AI
Discover how AI can enhance your operations:
- Identify Automation Opportunities: Find key customer interactions that can benefit from AI.
- Define KPIs: Ensure measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that fit your needs and allow customization.
- Implement Gradually: Start with a pilot, gather data, and expand wisely.
For AI KPI management advice, connect with us at hello@itinai.com. For continuous insights, follow us on Telegram or @itinaicom.
Explore how AI can redefine your sales processes and customer engagement at itinai.com.
