Joget Introduces AI Composer for Conversational Enterprise App Creation
Joget Inc. announced in a press release the launch of Joget AI Composer, a conversational AI feature integrated into its Joget DX platform. The tool allows development teams and business users to create and modify enterprise applications through natural language prompts while maintaining audit trails and compliance requirements.
Unlike traditional AI coding tools that generate raw source code, Joget AI Composer builds governed application components using the structured metadata already used by Joget DX. Each form, workflow, data view, and interface produced through AI Composer is visible within the platform’s visual builders and remains editable by team members under existing governance policies.
The feature includes tracking through a Governance Dashboard, full audit logs for AI agent activity, and administrative visibility across all AI Composer workflows. It operates on the same infrastructure as Joget’s AI Agent Builder, ensuring operational consistency and adherence to enterprise governance standards.
Joget AI Composer is now available in the Joget DX Enterprise Edition and supports five builders: Form, List, Process, UI, and Theme. It is compatible with Anthropic’s Claude, OpenAI’s GPT, and custom large language models, using a bring-your-own-API-key setup.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Programming Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 17 OpenAI Adds Slides and Parallel Agents to ChatGPT Oct 16 Nextech3D.ai Adds Agentic AI to Map D Event Platform Oct 16 McGraw Hill Adds AI Study Tools to Connect Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 Goodweek Raises $12 Million for AI Management PlatformEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
cPanel Releases AI Tools for Website and Application Hosting
Dozuki Launches Forge AI for Industrial Workflows
Coupler.io Launches Coupler AI for Data Analysis and Reporting
Google Launches Gemini Enterprise Workplace AI Platform
Stibo Systems Launches AgentWorkx for Governed AI Agents
Daily AI Brief: the AI news that matters, in your inbox.