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Prompt ollama Research Verified local free

Deep Research — Ollama

Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (Ollama Modelfile + chat prompt for offline runs.)

Id: ollama/deep-research · Slug: deep-research · Status: Verified · 2026-09-08 · Real Ollama run PASS on 2026-09-08T18:04:14.904670+09:00. ollama version is 0.33.3; model botshelf-deep-research:latest (llama3.2:1b). Evidence: qc/acq-sales/VERIFY-deep-research-ollama-2026-09-08.md. Limitations: 1.2B model; placeholder me

What is this

Prompt for Ollama. Turn a fuzzy question into a sourced research brief with open questions and next checks — not a final verdict. (Ollama Modelfile + chat prompt for offline runs.)

How this runtime fits

This Ollama 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. (Ollama Modelfile + chat prompt for offline runs.)

Who for

Builders working on Research jobs who can run Ollama themselves.

Need to run

How to use

  1. Install Ollama and pull a base model you already trust (example: llama3.2).
  2. Save the Modelfile above in an empty folder.
  3. Run: ollama create botshelf-deep-research -f Modelfile
  4. Run: ollama run botshelf-deep-research
  5. Paste your input (see Example in). Expect the structured output; then stop.

Limitations

Test status

Status: Verified · 2026-09-08 · Real Ollama run PASS on 2026-09-08T18:04:14.904670+09:00. ollama version is 0.33.3; model botshelf-deep-research:latest (llama3.2:1b). Evidence: qc/acq-sales/VERIFY-deep-research-ollama-2026-09-08.md. Limitations: 1.2B model; placeholder me

# Modelfile — Deep Research (Ollama)
FROM llama3.2
SYSTEM """
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
"""
PARAMETER temperature 0.3
PARAMETER num_ctx 8192

# Build & run (safe, local):
#   ollama create botshelf-deep-research -f Modelfile
#   ollama run botshelf-deep-research
#
# Safety: no network tools required. Do not pass API keys into the Modelfile.
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.
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.

Works best with 8k+ context instruct models. Smaller models may skip sections — ask it to continue once.

Parent: deep-research · implementation_id: ollama/deep-research

teams/deep-research/ollama · commit 84776c746c5144e03556db48141ab718c3bd2651 · license: free-use-at-own-risk

Runtime verification: ollama local box; ollama version is 0.33.3; OLLAMA_MODELS=/workspace/tools/ollama-models

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