TextStem9 provides a light-weight flexible system for generating and managing content, creating custom content types and taxonomies to create content driven web applications.
Textstem is built on the Laravel framework, the most popular PHP framework.
It works with your prefered LLM provider, providing a full Enterprise Prompt Orchestration System (EPOS) for managing you orginasations use of AI.
An AI-powered CMS offers robust content creation tools that go beyond traditional text editors. Leveraging natural language processing (NLP), it can generate drafts, suggest headlines, recommend keywords, and provide grammar and tone improvements in real time. This helps content creators maintain consistency in voice, improve readability, and produce high-quality content faster. AI writing assistants can also adapt to brand guidelines, ensuring that all content aligns with organizational standards.
Manual tagging can be time-consuming and inconsistent, but an AI-enabled CMS automates this process using machine learning models trained on large datasets. It can analyze text, images, and metadata to assign relevant tags, categorize articles, and even detect content themes or topics. This improves searchability, content discoverability, and enables more effective content organization, especially for large digital libraries.
TextStem enables users to control access through self-managed groups, form collaborative spaces—such as teams or projects—where they invite others, assign roles, and manage permissions autonomously. This user-led governance model fosters scalable, decentralized collaboration, while still allowing for platform-level oversight bythe site owners, who retain the ability to intervene, resolve disputes, and enforce global policies.
TextStem's prompt orchestration system providees nerw ways to interact with LLMs by automating structured data operations—not just generate text. It allows users to create and update database records, populate forms, and initiate bulk operations using natural language, all within the boundaries of enterprise permissions and context. Whether it’s generating a batch of procurement entries from a PDF, transforming meeting minutes into linked action items, or creating interrelated objects in a custom workflow—TextStem turns what would be hours of manual data entry into seconds of AI-augmented input. Unlike traditional LLM chat tools, TextStem doesn’t guess—it orchestrates. Each prompt is enriched with real-time application context, outputs are validated against predefined schemas, and every action is traceable. With user-managed groups layered over enterprise governance, TextStem empowers teams to automate the systems they rely on—responsibly, efficiently, and at scale.
One of the most powerful features of an AI-driven CMS is its ability to deliver personalized content to users. By analyzing user behavior, demographics, and engagement history, the system can recommend articles, products, or media tailored to individual preferences. This dynamic content delivery enhances user experience, increases time on site, and improves conversion rates for marketing or e-commerce platforms.
AI integrates advanced analytics into the CMS, allowing teams to predict how content will perform before it’s even published. By using historical data, audience trends, and engagement metrics, the system can suggest optimal publishing times, highlight underperforming areas, and identify topics likely to trend. These insights empower teams to make data-driven decisions and optimize content strategies continuously.
Beyond text, AI supports efficient handling of images, videos, and other digital assets. Features like automatic image tagging, facial recognition, and smart cropping help streamline media workflows. The system can also detect low-quality or duplicate assets and recommend alternatives, saving time and storage space while ensuring that only high-quality visuals are used across platforms.
An AI-powered CMS enhances team productivity with intelligent workflow management. It can assign tasks based on user roles, track progress through automated notifications, and even prioritize content based on deadlines or expected impact. Collaboration is improved through smart version control, content approval suggestions, and AI-summarized progress reports, allowing teams to stay aligned and agile in fast-paced content environments.