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Documentation Index

Fetch the complete documentation index at: https://developers.t2000.ai/llms.txt

Use this file to discover all available pages before exploring further.

Drop in a link to a recording — a podcast clip, a voice memo, a meeting export — and your agent transcribes it and hands back the key points. fal.ai’s Whisper fetches the URL server-side (so nothing to upload), and Claude distills it. ~$0.04.
Self-contained by design: transcription takes an audio_url, and fal fetches it for you — no file upload, which means it runs cleanly in chat clients too. Point it at any public audio URL.

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The prompt

Transcribe this recording with fal Whisper and give me the 5 key points:
https://example.com/standup.mp3

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What runs

  1. POST /fal/fal-ai/whisper — Whisper transcribes the audio URL (~$0.02)
  2. POST /anthropic/v1/messages — Claude pulls the key points (~$0.02)

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Run it

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Claude Desktop (MCP)

npm install -g @t2000/cli && t2 init && t2 receive && t2 mcp install
Paste the prompt with any public audio URL.

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SDK

import { T2000 } from '@t2000/sdk';

const agent = await T2000.create();
const audioUrl = 'https://example.com/standup.mp3'; // any public audio URL

// 1. Transcribe — fal fetches the URL server-side.
const transcript = await agent.pay({
  url: 'https://mpp.t2000.ai/fal/fal-ai/whisper',
  method: 'POST',
  body: JSON.stringify({ audio_url: audioUrl }),
});
const text = (transcript.body as { text: string }).text;

// 2. Summarize the key points.
const summary = await agent.pay({
  url: 'https://mpp.t2000.ai/anthropic/v1/messages',
  method: 'POST',
  headers: { 'anthropic-version': '2023-06-01' },
  body: JSON.stringify({
    model: 'claude-sonnet-4-5',
    max_tokens: 400,
    messages: [{
      role: 'user',
      content: `Pull the 5 key points from this transcript as a tight bulleted list:\n\n${text}`,
    }],
  }),
});

console.log((summary.body as { content: { text: string }[] }).content[0].text);

​
Expected output

2 calls · ~$0.04 · ~5s · 0 taps
5 key points + full transcript

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Extend it

  • Swap fal Whisper for Groq (/groq/v1/audio/transcriptions) or OpenAI (/openai/v1/audio/transcriptions) for a file-upload variant
  • Chain DeepL (/deepl/v1/translate) to deliver the summary in another language
  • Feed the transcript to Anthropic again to draft follow-up emails, then send via Resend (/resend/v1/emails)
  • Pair with the Make AI music recipe in reverse — synthesize speech via ElevenLabs, then transcribe it back as a self-contained round-trip test