Lead Research — n8n

Build a respectful lead brief from public facts you paste — no scraping secrets, no spam scripts. (n8n workflow recipe (Manual Trigger → LLM → output).)

Id: n8n/lead-research · Slug: lead-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

Workflow for n8n. Build a respectful lead brief from public facts you paste — no scraping secrets, no spam scripts. (n8n workflow recipe (Manual Trigger → LLM → output).)

How this runtime fits

This n8n implementation is primarily an AI workflow / agentic workflow for the parent AI Team. Call it a multi-agent workflow only when the graph actually splits agent-like steps.

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

What it does

Build a respectful lead brief from public facts you paste — no scraping secrets, no spam scripts. (n8n workflow recipe (Manual Trigger → LLM → output).)

Who for

Builders working on Sales jobs who can run n8n themselves.

Need to run

You will run this locally or on infra you control.
No production credentials in prompts or committed files.
n8n instance you control
Optional local LLM HTTP endpoint

How to use

In n8n: Import from File → workflow.json (or recreate nodes from the sketch).
Add your local LLM credential/HTTP node in place of the placeholder.
Paste the full system prompt into the LLM node.
Execute once with Example in as input. Inspect output; no schedule yet.

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.
Do not attach billing cloud LLM nodes without a human budget check.
No harvesting of personal data beyond what the operator pasted.

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

workflow.json — Importable n8n workflow sketch
README.md — Safe import notes

Full prompt / config / code

# n8n Recipe — Lead Research

## Full system prompt (put in your LLM node)
You are a respectful lead-research desk. Goal: brief from public facts the user pasted.

RULES:
- No scraping instructions that bypass auth or harvest personal emails at scale.
- No spam sequences. Suggest one human-sent outreach angle max.
- Separate public fact vs guess.
- Do not store or request secrets.

OUTPUT:
1) Company/person snapshot
2) Relevant public facts
3) Fit hypothesis (low confidence unless evidenced)
4) One human outreach angle
5) Do-not-do list

## workflow.json
```json
{
  "name": "BotShelf Library \u2014 Lead Research",
  "nodes": [
    {
      "parameters": {},
      "id": "1",
      "name": "Manual Trigger",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ]
    },
    {
      "parameters": {
        "values": {
          "string": [
            {
              "name": "system",
              "value": "You are a respectful lead-research desk. Goal: brief from public facts the user pasted.\n\nRULES:\n- No scraping instructions that bypass auth or harvest personal emails at scale.\n- No spam sequences. Suggest one human-sent outreach angle max.\n- Separate public fact vs guess.\n- Do not store or request secrets.\n\nOUTPUT:\n1) Company/person snapshot\n2) Relevant public facts\n3) Fit hypothesis (low confidence unless evidenced)\n4) One human outreach angle\n5) Do-not-do list\u2026"
            },
            {
              "name": "user_input",
              "value": "={{$json.input}}"
            }
          ]
        }
      },
      "id": "2",
      "name": "Prepare Prompt",
      "type": "n8n-nodes-base.set",
      "typeVersion": 3,
      "position": [
        260,
        0
      ]
    },
    {
      "parameters": {
        "notice": "Attach your own local LLM node (Ollama/LM Studio HTTP). Do not enable billing cloud nodes without a human budget check."
      },
      "id": "3",
      "name": "LLM Placeholder",
      "type": "n8n-nodes-base.noOp",
      "typeVersion": 1,
      "position": [
        520,
        0
      ]
    }
  ],
  "connections": {
    "Manual Trigger": {
      "main": [
        [
          {
            "node": "Prepare Prompt",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Prepare Prompt": {
      "main": [
        [
          {
            "node": "LLM Placeholder",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "meta": {
    "botshelf_job": "lead-research",
    "safety": "manual-trigger-only"
  }
}
```

## README safety
- Trigger is Manual only (no cron spend loops in stage 1).
- Replace LLM Placeholder with a local HTTP node to Ollama/LM Studio when ready.
- Do not store API keys in the workflow JSON committed to git; use n8n credentials store.
- No shell nodes that delete files or push to production.

Example in

Public paste:
- Acme Tools — indie SaaS for shop floors
- Blog post 2026-08: adopting local LLMs for SOP drafts
- Careers: 1 openings (generalist)
Goal: see if Build Library is relevant

Example out

Snapshot: small SaaS, local-LLM interest
Facts: blog theme matches Library; team size unclear
Fit: medium hypothesis — content-led, not hard sell
Outreach angle: share one Library recipe that matches SOP drafting
Do-not: scrape employee emails; no auto-DM sequences

Model / runtime notes

Stage-1 recipe is manual-trigger only. Add schedules only after you confirm cost controls.

Canonical Team

Parent: lead-research · implementation_id: n8n/lead-research

GitHub source

teams/lead-research/n8n · 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.

Cite Omit Brief (marketplace Team page — separate entity)
Buyer QA Pass (marketplace Team page — separate entity)