This record summarizes the collection results and next steps based on a site visit and content collection attempt. Note: visiting https://dl.ai/ encountered a JavaScript/cookie gate (“Just a moment… Enable JavaScript and cookies to continue.”) that prevented extraction of content from that domain. For dl.ai content retrieval, a JS-capable browser or a scraping approach that executes JS (e.g., headless browser / puppeteer) is required. Modl (https://modl.ai/) - summary of site content collected: Modl positions itself as an AI Engine for game development with two prominent offerings surfaced on the site: modl:test (automated game testing using AI QA bots) and modl:play (on-demand player bots that play and learn). The homepage and product pages describe self-updating bots that learn from player data, automated QA bots, a data pipeline to collect player behavior and train models, generation of content (e.g., puzzles), deeper test coverage, and a continuous feedback loop. The modl:test product page lists features such as plugin installation, build instrumentation, upload/configuration of tests, parallelized autoscaling test runs, logs and video playback of runs, crash/error detection and stack-trace analysis, performance metrics (CPU/memory), overview maps of bot movement, and custom scripts to detect game-specific events. The site notes integrations/plugins for Unity and Unreal Engine and states it can work with custom engines. Modl highlights CI/CD integration for continuous 24/7 testing. Publication dates observed on the site: modl:test page shows 2024-09-17; an article titled “9 of the Best AI Tools for Game Development” (2024-10-03) references modl:test and modl:play as central components in a modern game dev pipeline. Other site sections observed include Insights, Blog, Case Studies, Research Papers, Events, Company, Login, and Get started. Pricing and access: No public pricing tiers or trial details were found on product pages; pricing is listed as “contact modl.” The extraction returned has_free_trial = false and no pricing plans were found. Technical docs and API/SDK references were not located (they may be behind login or accessible after requesting access via Get started / Login). Value claims on the site include faster build iterations, expanded test coverage, fewer manual QA hours, earlier bug detection, cost/time savings, improved product quality, and faster shipping cadence. Limitations and gaps: dl.ai content is blocked by a JS/cookie gate and cannot be retrieved without bypassing that gate in a JS-enabled environment. Modl site does not publish public pricing, and detailed developer docs / API references were not found without login. Recommended next steps are to (a) reattempt dl.ai with a JS-capable extraction method or provide browser screenshots/content, and (b) contact Modl sales for pricing, request demo/trial runs and sample reports, and request developer docs (plugin installation steps, build instrumentation guide, CI/CD integration docs, API/SDK, data security/compliance).