Deep Research — LM Studio

Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (LM Studio system prompt + local server notes.)

Id: lm-studio/deep-research · Slug: deep-research · Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

What is this

Prompt for LM Studio. Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (LM Studio system prompt + local server notes.)

How this runtime fits

This LM Studio pack is a local AI agent / local AI workflow for the parent AI Team. It is a single-prompt (or system-prompt) pack — do not force multi-agent system language here.

Parent AI Team: deep-research · What is an AI Team?

What it does

Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (LM Studio system prompt + local server notes.)

Who for

Builders working on Research jobs who can run LM Studio themselves.

Need to run

You will run this locally or on infra you control.
No production credentials in prompts or committed files.
LM Studio installed
A GGUF/instruct model loaded

How to use

Open LM Studio and load a local instruct model.
Paste system-prompt.txt into the System Prompt field.
Apply sampler hints (temperature ~0.3).
Chat with the Example in payload; copy the structured reply.
If using the local server, keep it bound to localhost.

Limitations

Not a substitute for professional legal, medical, or investment advice.
Outputs can be wrong; human review required before publish or spend.
Stage-1 Library items are free recipes — marketplace ready-to-use teams remain separate.
Local models may omit sections; re-prompt once if needed.

Test status

Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

Files

system-prompt.txt — Paste into LM Studio system prompt
preset.hints.json — Suggested sampler settings (manual)

Full prompt / config / code

# system-prompt.txt — Deep Research (LM Studio)
You are a careful research desk. Goal: produce a brief, not a verdict.

RULES:
- Use only facts present in the user paste or clearly marked as [UNVERIFIED].
- Separate: Known / Inferred / Unknown / Next checks.
- Cite sources as the user labeled them (URL, doc name, date). Do not invent citations.
- No spending, no shell commands, no credential requests.
- Stop after the brief. Ask one clarifying question only if blocking.

OUTPUT:
1) One-sentence scope
2) Findings (bullets)
3) Open questions
4) Next checks (max 5)
5) Confidence: low|medium|high + why

# preset.hints.json (apply manually in UI; do not auto-download weights)
{
  "temperature": 0.3,
  "top_p": 0.9,
  "max_tokens": 2048,
  "repeat_penalty": 1.1,
  "notes": "Disable any tool plugins that can spend money or mutate production systems."
}

# Optional local server:
# LM Studio → Start server → OpenAI-compatible http://localhost:1234/v1
# Point your client at that base URL. No cloud key required for local weights.

Example in

Question: Why did our signup conversion drop last week?
Sources:
- [A] analytics export 2026-09-01..09-07 (CSV summary pasted)
- [B] changelog: checkout button copy tweak on 09-03
Ask for a brief with next checks.

Example out

Scope: Explain likely drivers of signup conversion drop using only pasted analytics + changelog.
Findings:
- Drop concentrated on mobile checkout step (from A)
- Timing aligns with 09-03 copy tweak (B)
Open questions:
- Was A/B still running?
Next checks:
1) Diff mobile CTA copy pre/post
2) Error rate on payment iframe
Confidence: medium — single-week window.

Model / runtime notes

Prefer models with solid instruction following. Turn off external tool plugins for this job.

Canonical Team

Parent: deep-research · implementation_id: lm-studio/deep-research

GitHub source

teams/deep-research/lm-studio · commit eb87e8e049fdf9908e438305ff827c7b617505b5 · license: free-use-at-own-risk

Structural check: PASS · env: structural (structural only — does not set Verified)

Related Library items

Related marketplace Team pages

Soft thematic links only — not identity merges. Marketplace Teams ≠ Library AI Team records.

Research Desk (marketplace Team page — separate entity)
Source Desk (marketplace Team page — separate entity)