Verified claim · AI-ML · 100% confidence
Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI.
Last verified 2026-05-16 · Methodology veritas-v0.1 · fdf293ee05e8168d
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Structured fields
- Subject
- Google AI Studio
- Predicate
publicly_released_on- Object
- 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI
- Confidence
- 100%
- Tags
- google-ai-studio · google · gemini · developer-tool · released_on · 2023
Sources (2)
[1] official blog · Google · 2023-12-13
Gemini API and more new AI tools for developers and enterprises“Google AI Studio is a free, web-based developer tool to prototype and launch apps quickly with an API key.”
[2] docs · Google · 2023-12-13
Google AI Studio — official site
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Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI. — SourceScore Claim fdf293ee05e8168d (verified 2026-05-16). https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.jsonEmbed this claim
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Frequently asked questions
How has SourceScore reviewed the claim "Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI."?
SourceScore records this assertion with 100% legacy editorial confidence as of 2026-05-16, under methodology veritas-v0.1. That metadata is not a truth guarantee. Inspect the 2 cited source record(s), excerpts, and live evidence below.
What is the evidence for "Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI."?
The record lists 2 cited source(s): Google, Google. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.
When was this claim record last reviewed by SourceScore?
Last reviewed 2026-05-16 under methodology version veritas-v0.1. The dated JSON record includes SourceScore-issued HMAC metadata, which is not publicly recomputable. Refetch the record and inspect current evidence before relying on it.
How can I cite this SourceScore claim in my code or article?
Fetch the JSON record from https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.json, including the verbatim claim, cited evidence, confidence, methodology version, and last-verified date. Refetch the canonical HTTPS record and inspect cited evidence; the HMAC tag is not publicly independently verifiable. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.
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Fetch this record from your application. The response includes verbatim excerpts, primary-source URLs, and SourceScore-issued HMAC integrity metadata. Refetch the canonical HTTPS record and inspect cited evidence; public users cannot independently verify the HMAC tag.
cURL
curl https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Google AI Studio publicly released on: 2023-12-13 by Google — developer playground for Gemini API + prompt engineering UI."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_google_ai_studio_fact() -> dict:
"""Fetch the verified SourceScore claim for Google AI Studio."""
r = httpx.get("https://sourcescore.org/api/v1/claims/fdf293ee05e8168d.json")
return r.json()