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        <title>Parlant Blog</title>
        <link>https://parlant.io/blog</link>
        <description>Parlant Blog</description>
        <lastBuildDate>Sat, 25 Apr 2026 00:00:00 GMT</lastBuildDate>
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            <title><![CDATA[The Age of Harnesses]]></title>
            <link>https://parlant.io/blog/the-age-of-harnesses</link>
            <guid>https://parlant.io/blog/the-age-of-harnesses</guid>
            <pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[What is a harness, and why has it become the dominant variable in applied LLM capability? An attempt at a working definition — and what it means for the agents that aren't Claude Code.]]></description>
            <category>parlant</category>
            <category>harness</category>
            <category>context-engineering</category>
            <category>claude-code</category>
            <category>conversational-ai</category>
        </item>
        <item>
            <title><![CDATA[Parlant 3.3: Scaling Control]]></title>
            <link>https://parlant.io/blog/parlant-3-3-release</link>
            <guid>https://parlant.io/blog/parlant-3-3-release</guid>
            <pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Parlant 3.3 introduces tag-based relationships, numeric guideline priorities, transient guidelines, Agent.utter(), and easier metadata management from tools.]]></description>
            <category>parlant</category>
            <category>release</category>
            <category>tags</category>
            <category>relationships</category>
            <category>transient-guidelines</category>
        </item>
        <item>
            <title><![CDATA[Parlant 3.2: Streaming Responses]]></title>
            <link>https://parlant.io/blog/parlant-3-2-streaming-responses</link>
            <guid>https://parlant.io/blog/parlant-3-2-streaming-responses</guid>
            <pubDate>Sun, 08 Feb 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Parlant 3.2 introduces streaming message output, entity labels with session propagation, and improvements across guidelines, journeys, and canned responses.]]></description>
            <category>parlant</category>
            <category>release</category>
            <category>streaming</category>
            <category>labels</category>
        </item>
        <item>
            <title><![CDATA[Parlant 3.1]]></title>
            <link>https://parlant.io/blog/parlant-3-1-release</link>
            <guid>https://parlant.io/blog/parlant-3-1-release</guid>
            <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Parlant 3.1 introduces Emcie for cost-optimized inference, and substantial improvements across guidelines, tools, canned responses, and observability.]]></description>
            <category>parlant</category>
            <category>release</category>
            <category>control</category>
            <category>scale</category>
        </item>
        <item>
            <title><![CDATA[Criticality-Based Resource Allocation]]></title>
            <link>https://parlant.io/blog/criticality-in-customer-facing-agents</link>
            <guid>https://parlant.io/blog/criticality-in-customer-facing-agents</guid>
            <pubDate>Tue, 23 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Not all instructions carry the same weight. Learn how criticality levels let you control the accuracy-cost tradeoff in conversational AI agents.]]></description>
            <category>parlant</category>
            <category>criticality</category>
            <category>conversational-ai</category>
            <category>guidelines</category>
            <category>tools</category>
        </item>
        <item>
            <title><![CDATA[Inside Parlant's Guideline Matching Engine]]></title>
            <link>https://parlant.io/blog/inside-parlant-guideline-matching-engine</link>
            <guid>https://parlant.io/blog/inside-parlant-guideline-matching-engine</guid>
            <pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[When we started building guideline matching, we thought semantic similarity would be enough. We were wrong. Here's what it actually takes to make AI agents reliably follow hundreds of business rules.]]></description>
            <category>parlant</category>
            <category>guideline-matching</category>
            <category>conversational-ai</category>
            <category>arqs</category>
            <category>llm-alignment</category>
        </item>
        <item>
            <title><![CDATA[Parlant vs LangGraph]]></title>
            <link>https://parlant.io/blog/parlant-vs-langgraph</link>
            <guid>https://parlant.io/blog/parlant-vs-langgraph</guid>
            <pubDate>Sat, 18 Oct 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[LangGraph's router and multi-agent patterns are powerful for orchestration, but they create inherent challenges for free-form conversational AI. Here's why, and how Parlant solves it differently.]]></description>
            <category>parlant</category>
            <category>ai-agents</category>
            <category>langgraph</category>
            <category>conversational-ai</category>
            <category>multi-agent-systems</category>
        </item>
        <item>
            <title><![CDATA[Parlant vs DSPy]]></title>
            <link>https://parlant.io/blog/parlant-vs-dspy</link>
            <guid>https://parlant.io/blog/parlant-vs-dspy</guid>
            <pubDate>Wed, 01 Oct 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Many people are asking if Parlant is like DSPy. Let's clear up the confusion and explain what each framework actually does.]]></description>
            <category>parlant</category>
            <category>ai-agents</category>
            <category>dspy</category>
            <category>conversational-ai</category>
            <category>alignment</category>
        </item>
        <item>
            <title><![CDATA[How Parlant Guarantees Compliance]]></title>
            <link>https://parlant.io/blog/how-parlant-guarantees-compliance</link>
            <guid>https://parlant.io/blog/how-parlant-guarantees-compliance</guid>
            <pubDate>Sun, 17 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[In this article, we explore the innovative strategies Parlant employs to ensure compliance and mitigate risks associated with LLMs.]]></description>
            <category>parlant</category>
            <category>ai-agents</category>
            <category>release</category>
            <category>conversational-ai</category>
            <category>production</category>
            <category>performance</category>
        </item>
        <item>
            <title><![CDATA[Parlant 3.0 — Reliable AI Agents]]></title>
            <link>https://parlant.io/blog/parlant-3-0-release</link>
            <guid>https://parlant.io/blog/parlant-3-0-release</guid>
            <pubDate>Fri, 15 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Introducing Parlant 3.0 with massive performance improvements, enhanced journeys, canned responses, and comprehensive production features for enterprise deployment.]]></description>
            <category>parlant</category>
            <category>ai-agents</category>
            <category>release</category>
            <category>conversational-ai</category>
            <category>production</category>
            <category>performance</category>
        </item>
        <item>
            <title><![CDATA[Agentic Backends: What I Wish Someone Had Told Me About API Design for LLMs]]></title>
            <link>https://parlant.io/blog/what-no-one-tells-you-about-agentic-api-design</link>
            <guid>https://parlant.io/blog/what-no-one-tells-you-about-agentic-api-design</guid>
            <pubDate>Tue, 15 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[A deep dive into the challenges and solutions of designing APIs for agentic applications.]]></description>
            <category>ai-agents</category>
            <category>embedding</category>
            <category>retrieval</category>
            <category>vector-database</category>
            <category>vector-search</category>
        </item>
        <item>
            <title><![CDATA[Increasing the Accuracy of Embedding-Based Retrieval]]></title>
            <link>https://parlant.io/blog/increasing-accuracy-of-embedding-based-retrieval</link>
            <guid>https://parlant.io/blog/increasing-accuracy-of-embedding-based-retrieval</guid>
            <pubDate>Tue, 08 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Explore the innovative techniques and strategies we've implemented to enhance the accuracy of embedding-based retrieval systems.]]></description>
            <category>ai-agents</category>
            <category>embedding</category>
            <category>retrieval</category>
            <category>vector-database</category>
            <category>vector-search</category>
        </item>
        <item>
            <title><![CDATA[Why We Built Parlant: From Mission-Critical Systems to Conversational AI]]></title>
            <link>https://parlant.io/blog/why-we-built-parlant</link>
            <guid>https://parlant.io/blog/why-we-built-parlant</guid>
            <pubDate>Sun, 29 Jun 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Discover how our team's journey from building mission-critical systems led to the creation of Parlant, an open-source Conversational AI engine designed for reliable customer interactions.]]></description>
            <category>conversation-modeling</category>
            <category>ai-agents</category>
            <category>customer-facing-ai</category>
        </item>
        <item>
            <title><![CDATA[Building Customer-Facing AI Agents in 2025: From the  "How" to the "What" and Back Again]]></title>
            <link>https://parlant.io/blog/ai-agents-from-how-to-what-and-back-again</link>
            <guid>https://parlant.io/blog/ai-agents-from-how-to-what-and-back-again</guid>
            <pubDate>Wed, 25 Jun 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[In 2025, the most effective way to build customer-facing AI agents combines the adaptability of LLMs with the structure and precision of traditional conversation design.]]></description>
            <category>conversation-modeling</category>
            <category>ai-agents</category>
            <category>customer-facing-ai</category>
        </item>
        <item>
            <title><![CDATA[Solving LLM Hallucinations in Conversational, Customer-Facing Use Cases]]></title>
            <link>https://parlant.io/blog/solving-llm-hallucinations-in-conversational-customer-facing-use-cases</link>
            <guid>https://parlant.io/blog/solving-llm-hallucinations-in-conversational-customer-facing-use-cases</guid>
            <pubDate>Wed, 18 Jun 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The challenges of LLM hallucinations in large-scale conversational AI and strategies for mitigating them.]]></description>
            <category>conversation-modeling</category>
            <category>hallucinations</category>
            <category>utterance-templates</category>
        </item>
        <item>
            <title><![CDATA[From ELIZA to Parlant: The Evolution of Conversational AI Systems and Paradigms]]></title>
            <link>https://parlant.io/blog/evolution-of-conversational-ai</link>
            <guid>https://parlant.io/blog/evolution-of-conversational-ai</guid>
            <pubDate>Thu, 01 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Conversational AI has evolved dramatically over decades. From rule-based chatbots like ELIZA in the 1960s, through  hybrid ML+rule frameworks, and, recently, LLMs. Now, state-of-the-art Conversation Modeling engines marry the generative power of LLMs with structured guidelines, allowing richer interactions that remain controllable, easier to develop iteratively, and more scalable to test in real-world scenarios.]]></description>
            <category>llm</category>
            <category>machine-learning</category>
            <category>conversation-modeling</category>
        </item>
        <item>
            <title><![CDATA[Why Generic RAG Frameworks Can't Catch On]]></title>
            <link>https://parlant.io/blog/generic-rag-will-never-catch-on</link>
            <guid>https://parlant.io/blog/generic-rag-will-never-catch-on</guid>
            <pubDate>Thu, 24 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[In the market for generic RAG frameworks, the different providers are fighting over who can provide 67% accuracy versus 65%. And when you run an off-the-shelf RAG framework on your use case, it will end up closer to 50% accuracy. Is this the best that the industry can do?]]></description>
            <category>rag</category>
            <category>vectordb</category>
            <category>llm</category>
            <category>machine-learning</category>
        </item>
        <item>
            <title><![CDATA[Are Autoregressive LLMs Really Doomed? (A Commentary Upon Yann LeCun's Recent Key Note)]]></title>
            <link>https://parlant.io/blog/are-autoregressive-llms-really-doomed</link>
            <guid>https://parlant.io/blog/are-autoregressive-llms-really-doomed</guid>
            <pubDate>Sun, 09 Feb 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[A commentary upon Yann LeCun's key note at AI Action Summit, along with some supplementary explanations on how LLMs work under the hood]]></description>
            <category>llm</category>
            <category>machine-learning</category>
        </item>
        <item>
            <title><![CDATA[What Is Autoregression in LLMs?]]></title>
            <link>https://parlant.io/blog/what-is-autoregression</link>
            <guid>https://parlant.io/blog/what-is-autoregression</guid>
            <pubDate>Sun, 09 Feb 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[A peek under the hood into how LLMs work]]></description>
            <category>llm</category>
            <category>machine-learning</category>
        </item>
        <item>
            <title><![CDATA[Rethinking How We Build Customer-Facing AI Agents]]></title>
            <link>https://parlant.io/blog/rethinking-how-we-build-customer-facing-ai-agents</link>
            <guid>https://parlant.io/blog/rethinking-how-we-build-customer-facing-ai-agents</guid>
            <pubDate>Mon, 09 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[A deep dive into today's prevalent methodologies, the challenges that come with each of them, and where the future may lie.]]></description>
            <category>methodologies</category>
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