Construí um gerador de playlists no Spotify com Claude
claude
| Source: Dev.to | Original article
A developer has turned Anthropic’s Claude model into a full‑stack Spotify playlist generator, releasing the open‑source project “claudify” on GitHub and a public front‑end at chatjams.ai. By feeding a natural‑language prompt such as “rainy night, a bit melancholy,” the tool calls Claude’s text‑completion API, translates the description into a set of seed tracks, queries Spotify’s catalog, and assembles a curated playlist that can be saved directly to the user’s library. The service also lets users upload a list of liked songs and have Claude remix them into a new collection, all in Portuguese as well as English.
The launch matters because it showcases Claude’s ability to move beyond code‑generation into creative domains that traditionally rely on proprietary recommendation engines. By exposing a simple prompt‑to‑playlist workflow, the project lowers the barrier for hobbyists and small creators to build personalized music experiences without deep knowledge of Spotify’s API or machine‑learning pipelines. It also signals Anthropic’s growing ecosystem of third‑party tools that leverage Claude’s “Model Context Protocol” for real‑time data fetching, a capability highlighted in our recent deep‑dive on Claude Code Agent Teams (see 24 Mar 2026).
What to watch next is whether Anthropic will package similar “AI‑as‑a‑service” primitives for other media types, and how Spotify might respond to external AI curators that could complement or compete with its own Discover Weekly algorithm. The community’s reaction on GitHub, where the repository already has several forks, will indicate appetite for commercialisation. Meanwhile, the upcoming Claude Code updates we covered earlier could tighten the integration between code‑generation and API orchestration, making more sophisticated, multi‑modal AI assistants a realistic prospect for everyday developers.
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