Run a complex instrument from one plain-English ask: let an agent steer the hardware, clean the live data stream, fix errors and plot the result while you watch: AI agent prompt

NVIDIA’s Oct 30, 2026 blog covers Breakthrough Listen and the SETI Institute at the Allen Telescope Array: agentic AI on the Holoscan platform lets researchers steer antennas, calibrate, correct live data and rewrite signal-processing blocks from a single natural-language request. Nexus is the observatory orchestrator (agent harness); DAQIRI streams sensor data into GPU memory; CyberEther does CUDA-X signal processing. NVIDIA cites up to 2.4 Tbps on RTX PRO 6000 Blackwell GPUs on premises, and the pipeline’s first real-time AI detection of a Crab Nebula pulsar. Andrew Siemion (SETI Institute / Breakthrough Listen) frames agents as speeding a search that may increasingly listen for other agents.

ResearchNatural-language telescope ops agentadvanced

The prompt

1. Name the instrument or lab rig and the three actions you repeat most (point/aim, calibrate, plot or export).
2. Give an agent read access to live status and a short allow-list of safe commands; deny anything that can damage hardware without a human confirm.
3. Prompt pattern: ‘Aim at [target], calibrate for a clean signal, flag packet loss, and plot the spectrogram.’
4. Keep processing next to the instrument when data volume or locality matters; log every command the agent ran.
5. Start in suggest mode (agent proposes the command sequence, you approve), then allow auto-run only for the safe subset.
6. Measure time from request to usable plot versus the old manual checklist.
Open in ChatGPT Open in Claude Perplexity Download as agent skill (SKILL.md)

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How to use it

  1. Copy the prompt above.
  2. Replace every [bracket] with your own details (use the fill-in-the-blanks box above, which remembers your answers for the next prompt).
  3. Paste it into NVIDIA Holoscan, Nexus observatory orchestrator, DAQIRI and review the answer before you use it.

Works with: NVIDIA Holoscan, Nexus observatory orchestrator, DAQIRI, CyberEther, CUDA-X, on-prem GPUs

Real-world example: blogs.nvidia.com/blog/ai-joins-the-search-for-extraterrestrial-signals

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