Submission declined on 3 December 2025 by Chlod (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, not just brief mentions or routine announcements; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as interviews, press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. This draft reads like an advertisement. Wikipedia is an encyclopedia, not a platform for promotion or marketing. Drafts that are exclusively promotional may be deleted without notice. Wikipedia articles must be written neutrally in a formal, impersonal, and dispassionate way. They should not read like a blog post, advertisement, or fan page. Rewrite the draft to remove: promotional language: see Words to watch; personal commentary: opinions or direct addresses to the reader; informal language. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have a conflict of interest (e.g. you are the subject, an employee, or a relative) or are being paid to edit, you must disclose this to comply with Wikipedia's Terms of Use. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by Chlod 6 months ago. Last edited by Citation bot 4 months ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

• Comment: Most of these sources are primary sources or fail to discuss the subject of the article in depth. Many aspects of the subject are not explained by sources, and the parts that do have sources are mostly cover VC investments and not the subject itself. Chlod (say hi!) 06:50, 3 December 2025 (UTC)

CodeWords is a serverless automation platform that enables users to build, deploy, and execute workflow automation through Python-based microservices.^[1] The platform provides a unified interface for integrating with external services, AI models, web scraping tools, and business applications without requiring infrastructure management.

Since CodeWords uses a chat interface for development, the platform is designed so that anyone, regardless of their technical ability, can build AI automations that create business value.

CodeWords is a platform created by Agemo AI LTD. The company was founded in 2023 by Osman Ramadan and Aymeric Zhuo^[2][3] and raised an initial round of $4 million in 2024 to redefine the AI workflow automations category.^[4] They're building CodeWords, a software automation platform described as "Lovable meets n8n".^[5] They are backed by a range of investors, including those at Fly Ventures^[6] and FirstMinute Capital.^[7]

Agemo AI LTD's research is mainly focused on leveraging neurosymbolic methods and reinforcement learning in verifiable domains to build intelligent systems able to solve human-level problems.^[8] Historically, the company has also been involved in tackling the ARC-AGI benchmark.^[9]

CodeWords is designed as a microservices-based workflow automation platform where each workflow runs as a standalone FastAPI application within ephemeral, isolated sandboxes. The platform abstracts away server provisioning, dependency management, and credential handling, allowing users to focus on workflow logic and business outcomes.

The platform serves users ranging from technical developers to business professionals and non-technical users, providing both code-based development and conversational workflow building through an AI assistant interface.

CodeWords can be applied across various business automation scenarios:

• Lead Enrichment: Automated data gathering from professional networks and public sources
• Content Monitoring: Tracking changes on competitor websites, news sources, or regulatory publications
• Communication Automation: Scheduled messaging and event-driven notifications via Slack, WhatsApp, and email
• Data Processing: ETL workflows connecting spreadsheets, databases, and business applications
• Research Automation: Multi-source information discovery with AI-powered validation