AI Test Manager vs Casely
AI Test Manager
github.comCasely
casely.digitalSide by side
| Figure | AI Test Manager | Casely |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Plans published | 1 | 0 |
| Spec score · AI Test Case Generators | 7.8 (#11) | 7.5 (#21) |
| Intended users | The README describes it as a tool for QA and development workflows. | Casely says it is made for QA engineers and the leads who review their work. |
| License | The repository says the app is MIT licensed and free for personal and commercial use. | The QA skill is described as free and open source under the MIT license. |
| Purpose | AI Test Manager generates use cases and test cases from a one-line scenario using AI. | Casely turns software requirements into QA test cases and exports them in a TestRail-ready Excel file. |
Plans
In their own words
AI Test Manager
AI Test Manager is a free Windows desktop application that turns a one-line requirement or scenario into structured use cases and test cases with AI. Users enter a scenario, generate results, then copy, export, or reuse them; generated cases can be exported to Excel. The application supports local inference through an Ollama endpoint, or users can provide a token for a paid API endpoint. Its repository describes the tool as requiring no login or coding and says it is MIT licensed for personal and commercial use. Setup consists of downloading and extracting the ZIP, opening AI_TestManagement.exe, and entering an AI endpoint and model name. The maker presents it for QA and development workflows. It is described as a Windows desktop tool, with local or cloud AI models in the plan details. The Free plan costs nothing. The repository owner identifies the maker as Sooraj Ramachandran, whose profile lists NYC.
Casely
Casely turns software requirements into QA test cases through a conversation with Claude. It accepts PDF, DOCX, XLSX, TXT, and Markdown files, as well as pasted text. Before writing cases, Casely proposes coverage by module, estimates case counts, flags specification gaps, and waits for approval. Its test design uses equivalence partitioning, boundary value analysis, decision tables, state transitions, and error guessing. The tool can follow the columns, order, tone, and ID scheme of an existing test-case file. Exports include one Excel file and a Markdown file for each case; the Excel output is described as importable into TestRail, Qase, Zephyr, and Xray. When requirements identify API endpoints, it can create a Postman collection with an environment file and run instructions, without embedding credentials. Casely runs with Claude Code, claude.ai, and the Claude desktop app. A browser version with uploads and team review is in early access. The QA skill is free, open source, and MIT-licensed.