January 22, 2026

Claude to Gmail, startup ideas you can act on

Lisa Granqvist Partner Workflow Automation Expert

Get a free AI assessment → ⬇️ Use template

You get a “good startup idea,” jot it down somewhere, and then it disappears into the same black hole as the other 40 ideas you never validated. A week later you’re back to scrolling, second-guessing, and asking the same question again.

This Claude Gmail automation hits solo founders first, honestly. But growth marketers testing new angles and agency owners looking for productized services feel the same churn. You don’t need more ideas. You need consistent evaluation and next steps you will actually follow.

This workflow generates startup ideas from your profile, critiques them like a VC, synthesizes the signal, then emails you a clean report in Gmail. You’ll see how it works, what you need, and how to avoid the usual setup traps.

How This Automation Works

Here’s the complete workflow you’ll be setting up:

n8n Workflow Template: Claude to Gmail, startup ideas you can act on

Click to explore

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Why This Matters: Idea Overload Without Decision-Making

“Startup idea generation” is easy. The hard part is deciding what’s worth a weekend, what deserves a month, and what should be killed immediately. Without a repeatable way to evaluate ideas, you end up chasing novelty instead of traction. You write a few notes, maybe ask a friend, then stall because the questions are bigger than your time. Market size, differentiation, distribution, execution risk. It’s not one big blocker. It’s 20 little ones, piling up until you do nothing.

The friction compounds. Here’s where it usually breaks down.

You spend about an hour brainstorming, then another hour trying to “research,” and still feel uncertain.
Your idea notes are inconsistent, so comparing Idea A to Idea B is basically vibes.
Feedback comes in random DMs and voice notes, which makes it hard to turn opinions into decisions.
Even solid ideas die because there’s no clear “next three actions” to move from concept to test.

What You’ll Build: An AI Startup Idea Pipeline That Emails You the Verdict

This workflow gives you a simple loop: you submit your background and preferences (or let your saved profile run on a schedule), and Claude generates a set of startup ideas tailored to you. Then a second Claude agent switches hats and critiques those ideas like a venture capitalist would, focusing on market viability, competition, distribution, and execution traps. A third agent does sentiment-style synthesis and turns the critique into a final recommendation, with specific next steps you can act on. Finally, n8n composes a clean email report and sends it directly to your Gmail inbox, so the output lands where you already work.

The workflow starts from a form submission, a daily schedule, or a manual run. It normalizes your inputs, runs the three-stage agent pipeline, merges the outputs, and aggregates insights into a readable email. Then Gmail delivers it. No copy-paste, no “where did I save that doc?” moments.

What You’re Building

What Gets Automated

What You’ll Achieve

Collect your profile and idea preferences through a form or saved inputs.
Generate tailored startup ideas with a Claude ideation agent.
Run a VC-style critique that flags risks and weak assumptions.
Synthesize a final recommendation and format it into an email report.

Turn “blank page” brainstorming into a 5–10 minute daily habit.
Compare ideas consistently because each report follows the same structure.
Get clearer go/no-go decisions without hunting for feedback.
Build a lightweight idea archive in your inbox (searchable later).
Move faster from concept to test with concrete next steps.

Expected Results

Say you evaluate 5 ideas a week. Manually, you might spend about 45 minutes brainstorming per idea, then another 45 minutes doing a rough critique and writing action steps, so roughly 7–8 hours weekly. With this workflow, you submit your profile once, then each run takes about 5 minutes of input (or none, on the daily schedule) plus waiting for the agents to respond and the email to arrive. Most people get those 7 hours back and still end up with better, more comparable notes.

Before You Start

n8n instance (try n8n Cloud free)
Self-hosting option if you prefer (Hostinger works well)
Anthropic (Claude) for idea generation and critique agents
Gmail to deliver the report to your inbox
Anthropic API key (get it from your Anthropic console)

Skill level: Beginner. You’ll connect accounts, paste API keys, and edit a couple of text blocks.

Want someone to build this for you? Talk to an automation expert (free 15-minute consultation).

Step by Step

Choose how the workflow starts. You can trigger it three ways: a form submission (for ad-hoc idea requests), a daily schedule (for a steady habit), or a manual run when you want to test changes.

Normalize your inputs into one clean profile. n8n combines your “developer profile” details and any form answers, then standardizes fields so the AI prompts stay consistent across runs.

Run the three-agent Claude pipeline. The ideation agent proposes ideas based on your skills and preferences. The VC critique agent evaluates viability and competition, then the sentiment synthesis agent turns that into a clearer recommendation and next actions.

Merge, summarize, and email the report. n8n merges the agent outputs, aggregates insights in a code step, composes a readable email, and sends it through the Gmail node to your chosen recipient address.

You can easily modify the prompts to target a specific industry or business model based on your needs. See the full implementation guide below for customization options.

Step-by-Step Implementation Guide

Step 1: Configure the Form and Schedule Triggers

Set up the intake form and optional scheduled/manual triggers that start the workflow.

Open Intake Form Trigger and confirm the Path is bba48ae8-07f7-4eae-be54-2960c862157f.
Set the Form Title to 🚀 Tech Startup Idea Generator and Form Description to Generate SaaS and tech startup ideas based on your developer skills.
Review the form fields in Intake Form Trigger to ensure required fields like Your Name, Email, and Programming Languages are present.
Open Daily Schedule Trigger and verify the rule runs daily at 09:00 (triggerAtHour 9).
Keep Manual Run Trigger connected for on-demand test runs.

If you don’t need scheduled runs, you can disable Daily Schedule Trigger and rely on Intake Form Trigger and Manual Run Trigger only.

Step 2: Normalize Developer Input Data

Map incoming form fields into a consistent developer profile object for downstream AI nodes.

Open Developer Profile Input and leave the placeholder values empty (used for manual test runs).
Open Normalize Input Data and set the developer_profile object to the full expression:
={ "name": "{{ $json['Your Name'] }}", "email": "{{ $json['Email'] }}", "programming_languages": "{{ $json['Programming Languages'] }}", "tech_stack": "{{ $json['Tech Stack & Frameworks'] }}", "specialized_skills": "{{ $json['Specialized Skills'] }}", "target_market": "{{ $json['Target Market'] }}", "time_commitment": "{{ $json['Time Commitment'] }}", "experience_level": "{{ $json['Experience Level'] }}", "budget_range": "{{ $json['Budget Range'] }}", "timestamp": "{{ $now.toISO() }}" }.
Confirm the connection: Intake Form Trigger → Normalize Input Data and Developer Profile Input → Normalize Input Data.

Step 3: Set Up AI Generation and Critique Agents

Configure the three AI agent stages and connect their language models, parsers, and memory.

Open Startup Ideation Agent and keep the prompt as defined, including the expressions like {{ $now.toMillis() }} and {{ $json.developer_profile.programming_languages }}.
Open Venture Critique Agent and confirm it uses the idea JSON via {{ $json.output.toJsonString() }}.
Open Sentiment Synthesis and keep the dual inputs: {{ $('Startup Ideation Agent').item.json.output }} and {{ $json.output.toJsonString() }}.
Credential Required: Connect your anthropicApi credentials in Ideation Language Model, Critique Language Model, and Sentiment Language Model.
Ensure Ideation JSON Parser is connected to Startup Ideation Agent, Critique JSON Parser to Venture Critique Agent, and Sentiment JSON Parser to Sentiment Synthesis.
Keep Session Memory Buffer attached to Startup Ideation Agent with Session Key ai-idea-generator and Context Window Length 10.

⚠️ Common Pitfall: The placeholder text Risk-[CONFIGURE_YOUR_API_KEY] recommendation appears inside Sentiment Synthesis. Remove or replace it so it doesn’t leak into the final output.

The parsers (Ideation JSON Parser, Critique JSON Parser, Sentiment JSON Parser) and Session Memory Buffer are AI sub-nodes; credentials should be added to the parent language model nodes, not these sub-nodes.

Step 4: Configure Parallel Processing and Aggregation

Merge agent outputs in parallel and compute unified insights for reporting.

Confirm the flow: Startup Ideation Agent → Venture Critique Agent.
Venture Critique Agent outputs to both Sentiment Synthesis and Combine Agent Outputs in parallel.
Set Combine Agent Outputs to Number of Inputs 3 and keep all three agent outputs connected.
Open Aggregate Insights and retain the JavaScript aggregation logic (composite scores, executive summary, and routing flags).

Step 5: Configure Email Report Output

Generate a formatted report and send it via Gmail.

Open Compose Email Report and keep the HTML and text body generation as written, which uses executive_summary, insights, and meta.
Open Dispatch Idea Email and set Message to {{ $json.html_body }} and Subject to 🚀 Your Personalized Tech Startup Idea.
Credential Required: Connect your gmailOAuth2 credentials in Dispatch Idea Email.
Update Send To from = to the intended recipient (for example, the developer’s email from the form) before production use.

⚠️ Common Pitfall: If Send To remains =, Gmail will not know where to send the report and the workflow will fail.

Step 6: Test and Activate Your Workflow

Run a full test cycle and then enable the workflow for real submissions.

Click Execute Workflow and use Manual Run Trigger with sample values in Developer Profile Input to validate the flow end-to-end.
Confirm successful execution by checking that Compose Email Report outputs a subject and HTML body, and Dispatch Idea Email sends an email.
Test the form submission from Intake Form Trigger and ensure it routes through Normalize Input Data and all three agents.
When satisfied, switch the workflow to Active so the form and schedule triggers run in production.

🔒

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Get the complete implementation guide + downloadable template

Troubleshooting Tips

Anthropic (Claude) API keys can be pasted into the wrong credential or rotated without updating n8n. If runs suddenly fail, verify the Anthropic credentials on all three language model nodes.
If you’re using Wait nodes or external rendering, processing times vary. Bump up the wait duration if downstream nodes fail on empty responses.
Default prompts in AI nodes are generic. Add your brand voice early or you’ll be editing outputs forever.

Quick Answers

What’s the setup time for this Claude Gmail automation?

About 30 minutes if you already have your API key and Gmail ready.

Is coding required for this startup idea automation?

No. You’ll mostly connect accounts and edit a few prompt and email text sections.

Is n8n free to use for this Claude Gmail automation workflow?

Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in Anthropic (Claude) API usage costs, which usually come out to a few cents per run depending on your prompt size.

Where can I host n8n to run this automation?

Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.

Can I modify this Claude Gmail automation workflow for different use cases?

Yes, and you should. The fastest win is editing the three AI Agent prompts (Startup Ideation Agent, Venture Critique Agent, and Sentiment Synthesis) to focus on your niche, like B2B SaaS, local services, or AI tooling. You can also tweak the “My Information” and “Developer Profile Input” set nodes so different teammates can run it with their own profiles. Some teams add a Google Sheets or Excel 365 step after “Aggregate Insights” to build a searchable idea history.

Why is my Gmail connection failing in this workflow?

Most of the time it’s an OAuth permission problem or an expired authorization in n8n. Reconnect the Gmail credential used by the “Dispatch Idea Email” node, then confirm the recipient address and sender account match what you expect. If you’re on a workspace account, admin restrictions can also block sending through third-party apps, so it’s worth checking Google Workspace security settings.

What volume can this Claude Gmail automation workflow process?

Plenty for individual use: dozens of runs a day is normal, and the real constraint is your AI API rate limits and budget.

Is this Claude Gmail automation better than using Zapier or Make?

For an agent pipeline like this, n8n is usually the more comfortable place to build. You can run multiple AI steps, merge outputs, and add logic (like “If the critique score is low, generate replacements”) without fighting platform limits. Self-hosting is another big deal if you plan to run it a lot, because executions aren’t metered the same way as many no-code tools. Zapier or Make can still work, but multi-stage AI flows get messy fast. If you’re torn, Talk to an automation expert and sanity-check the best approach for your volume.

Once this is running, you stop “collecting ideas” and start making decisions on them. The workflow handles the repetitive thinking framework so you can spend your time testing the ones that deserve it.

Need Help Setting This Up?

Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.

Lisa Granqvist

Workflow Automation Expert

Expert in workflow automation and no-code tools.

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"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "Programming Languages",
"requiredField": true
},
{
"fieldType": "textarea",
"fieldLabel": "Tech Stack & Frameworks",
"requiredField": true
},
{
"fieldType": "dropdown",
"fieldLabel": "Specialized Skills",
"multiselect": true,
"fieldOptions": {
"values": [
{
"option": "Machine Learning & AI"
},
{
"option": "DevOps/Cloud Infrastructure"
},
{
"option": "Mobile Development"
},
{
"option": "Blockchain/Web3"
},
{
"option": "Data Science/Analytics"
},
{
"option": "Cybersecurity"
},
{
"option": "API Development"
},
{
"option": "UI/UX Design"
},
{
"option": "Database Architecture"
},
{
"option": "Automation/Scripting"
},
{
"option": "Game Development"
},
{
"option": "IoT/Hardware"
}
]
}
},
{
"fieldType": "dropdown",
"fieldLabel": "Target Market",
"fieldOptions": {
"values": [
{
"option": "B2B SaaS"
},
{
"option": "Developer Tools"
},
{
"option": "E-commerce"
},
{
"option": "FinTech"
},
{
"option": "Healthcare"
},
{
"option": "EdTech"
},
{
"option": "Marketing/Sales"
},
{
"option": "Productivity"
},
{
"option": "Gaming"
},
{
"option": "Social/Community"
},
{
"option": "Enterprise"
},
{
"option": "Consumer Apps"
}
]
}
},
{
"fieldType": "dropdown",
"fieldLabel": "Time Commitment",
"fieldOptions": {
"values": [
{
"option": "5-10 hours/week (Side Project)"
},
{
"option": "20-30 hours/week (Part-time)"
},
{
"option": "40+ hours/week (Full-time)"
},
{
"option": "Weekend Warrior"
}
]
},
"requiredField": true
},
{
"fieldType": "dropdown",
"fieldLabel": "Experience Level",
"fieldOptions": {
"values": [
{
"option": "Junior (0-2 years)"
},
{
"option": "Mid-level (3-5 years)"
},
{
"option": "Senior (6-10 years)"
},
{
"option": "Expert (10+ years)"
}
]
},
"requiredField": true
},
{
"fieldType": "dropdown",
"fieldLabel": "Budget Range",
"fieldOptions": {
"values": [
{
"option": "$0 - $1,000 (Bootstrap)"
},
{
"option": "$1,000 - $5,000 (Small Investment)"
},
{
"option": "$5,000 - $20,000 (Medium Investment)"
},
{
"option": "$20,000+ (Well Funded)"
}
]
},
"requiredField": true
}
]
},
"formDescription": "Generate SaaS and tech startup ideas based on your developer skills"
},
"typeVersion": 2
},
{
"id": "95c00ef5-6eb8-4bf0-a391-a9da0cabbbdd",
"name": "Daily Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
570,
235
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "1d9bee69-b352-4a36-ab82-2dae5c05722c",
"name": "Manual Run Trigger",
"type": "n8n-nodes-base.manualTrigger",
"position": [
1040,
230
],
"parameters": [],
"typeVersion": 1
},
{
"id": "c91e4c3f-70eb-49ed-b03f-2a5c52e2e2a6",
"name": "Aggregate Insights",
"type": "n8n-nodes-base.code",
"position": [
2930,
1030
],
"parameters": {
"jsCode": "// Comprehensive data aggregation\nconst workflow_run_id = `startup_analysis_${Date.now()}`;\nconst timestamp = new Date().toISOString();\n\n// Collect data from all agents\nlet idea = {};\nlet critique = {};\nlet sentiment = {};\n\ntry {\n  // Get idea from Agent 1\n  idea = $('Startup Ideation Agent').first().json.output || {};\n  console.log('Idea data collected:', !!idea.idea_title);\n  \n  // Get critique from Agent 2  \n  critique = $('Venture Critique Agent').first().json.output || {};\n  console.log('Critique data collected:', !!critique.overall_viability_score);\n  \n  // Get sentiment from current node (Agent 3)\n  sentiment = $('Sentiment Synthesis').first().json.output || {};\n  console.log('Sentiment data collected:', !!sentiment.final_synthesis);\n  \n} catch (error) {\n  console.error('Data collection error:', error);\n}\n\n// Calculate composite scores\nconst calculateCompositeScore = () => {\n  const ideaScore = parseFloat(idea.innovation_score) || 0;\n  const viabilityScore = parseFloat(critique.overall_viability_score) || 0;\n  const successProbability = parseFloat(sentiment.final_synthesis?.success_probability) || 0;\n  \n  return {\n    innovation: ideaScore,\n    viability: viabilityScore, \n    success_probability: successProbability,\n    composite: ((ideaScore + viabilityScore + (successProbability/10)) / 3).toFixed(1)\n  };\n};\n\nconst scores = calculateCompositeScore();\n\n// Determine recommendation priority\nconst getRecommendationPriority = () => {\n  const verdict = critique.verdict || 'UNKNOWN';\n  const sentimentRec = sentiment.final_synthesis?.overall_recommendation || 'UNKNOWN';\n  \n  if (verdict.includes('ABANDON') || sentimentRec === 'PASS') return 'LOW';\n  if (verdict.includes('CAUTION') || sentimentRec.includes('CAUTIOUS')) return 'MEDIUM';\n  if (verdict.includes('PROCEED') && sentimentRec.includes('STRONG')) return 'HIGH';\n  return 'MEDIUM';\n};\n\n// Create comprehensive output structure\nconst aggregatedData = {\n  // Metadata\n  meta: {\n    workflow_run_id,\n    timestamp,\n    analysis_version: '1.0',\n    processing_time_estimate: '~3-5 minutes'\n  },\n  \n  // Raw agent outputs\n  raw_outputs: {\n    idea_generation: idea,\n    market_critique: critique, \n    sentiment_analysis: sentiment\n  },\n  \n  // Processed insights\n  insights: {\n    scores,\n    recommendation_priority: getRecommendationPriority(),\n    key_opportunities: critique.recommendations?.slice(0, 3) || [],\n    key_risks: critique.risk_factors?.slice(0, 3) || [],\n    next_steps: sentiment.final_synthesis?.key_next_steps || []\n  },\n  \n  // Summary for quick review\n  executive_summary: {\n    idea_title: idea.idea_title || 'Untitled Startup Idea',\n    one_liner: idea.core_concept || 'No description available',\n    verdict: critique.verdict || 'NO_VERDICT',\n    confidence: sentiment.final_synthesis?.decision_confidence || 'Unknown',\n    bottom_line: sentiment.executive_summary || 'Analysis incomplete'\n  },\n  \n  // Flags for routing decisions\n  routing_flags: {\n    should_email: scores.composite >= 5.0,\n    needs_human_review: getRecommendationPriority() === 'HIGH',\n    save_to_database: true,\n    generate_report: scores.composite >= 6.0\n  }\n};\n\nreturn aggregatedData;"
},
"typeVersion": 2
},
{
"id": "7e451c26-697a-44c5-b7ba-9865ef0cb10c",
"name": "Compose Email Report",
"type": "n8n-nodes-base.code",
"position": [
2020,
1195
],
"parameters": {
"jsCode": "const data = $input.first().json;\nconst { executive_summary, insights, meta } = data;\n\n// Create human-readable email content\nconst emailContent = {\n  subject: `\ud83d\ude80 Startup Analysis: ${executive_summary.idea_title} [${executive_summary.verdict}]`,\n  \n  html_body: `\n    <h2>\ud83d\ude80 Startup Idea Analysis Report</h2>\n    <p><strong>Generated:</strong> ${new Date(meta.timestamp).toLocaleString()}</p>\n    \n    <div style=\"background: #f5f5f5; padding: 15px; border-radius: 8px; margin: 15px 0;\">\n      <h3>${executive_summary.idea_title}</h3>\n      <p><em>${executive_summary.one_liner}</em></p>\n    </div>\n    \n    <h3>\ud83d\udcca Quick Scores</h3>\n    <ul>\n      <li><strong>Innovation:</strong> ${insights.scores.innovation}/10</li>\n      <li><strong>Market Viability:</strong> ${insights.scores.viability}/10</li> \n      <li><strong>Success Probability:</strong> ${insights.scores.success_probability}%</li>\n      <li><strong>Composite Score:</strong> ${insights.scores.composite}/10</li>\n    </ul>\n    \n    <h3>\ud83c\udfaf Verdict: ${executive_summary.verdict}</h3>\n    <p><strong>Bottom Line:</strong> ${executive_summary.bottom_line}</p>\n    \n    <h3>\ud83d\udea8 Key Risks</h3>\n    <ul>\n      ${insights.key_risks.map(risk => `<li>${risk}</li>`).join('')}\n    </ul>\n    \n    <h3>\ud83d\udca1 Key Opportunities</h3>\n    <ul>\n      ${insights.key_opportunities.map(opp => `<li>${opp}</li>`).join('')}\n    </ul>\n    \n    <h3>\ud83d\udccb Recommended Next Steps</h3>\n    <ol>\n      ${insights.next_steps.map(step => `<li>${step}</li>`).join('')}\n    </ol>\n    \n    <hr>\n    <p><small>Analysis ID: ${meta.workflow_run_id}</small></p>\n  `,\n  \n  text_body: `\nSTARTUP ANALYSIS REPORT\nGenerated: ${new Date(meta.timestamp).toLocaleString()}\n\nIDEA: ${executive_summary.idea_title}\n${executive_summary.one_liner}\n\nSCORES:\n- Innovation: ${insights.scores.innovation}/10\n- Market Viability: ${insights.scores.viability}/10  \n- Success Probability: ${insights.scores.success_probability}%\n- Composite: ${insights.scores.composite}/10\n\nVERDICT: ${executive_summary.verdict}\n${executive_summary.bottom_line}\n\nKEY RISKS:\n${insights.key_risks.map((risk, i) => `${i+1}. ${risk}`).join('\\n')}\n\nKEY OPPORTUNITIES:  \n${insights.key_opportunities.map((opp, i) => `${i+1}. ${opp}`).join('\\n')}\n\nNEXT STEPS:\n${insights.next_steps.map((step, i) => `${i+1}. ${step}`).join('\\n')}\n\nAnalysis ID: ${meta.workflow_run_id}\n  `\n};\n\nreturn [{ json: emailContent }];"
},
"typeVersion": 2
},
{
"id": "00374e6f-d25e-4032-b496-e27211764ff8",
"name": "Dispatch Idea Email",
"type": "n8n-nodes-base.gmail",
"position": [
2960,
1340
],
"webhookId": "569c40d8-4156-4ee3-a90d-6ba1190375c0",
"parameters": {
"sendTo": "=",
"message": "={{ $json.html_body }}",
"options": [],
"subject": "=\ud83d\ude80 Your Personalized Tech Startup Idea"
},
"credentials": {
"gmailOAuth2": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 2.1
},
{
"id": "fc63ee7a-88bb-416c-8016-f0d48921e8e5",
"name": "Combine Agent Outputs",
"type": "n8n-nodes-base.merge",
"position": [
1450,
860
],
"parameters": {
"numberInputs": 3
},
"typeVersion": 3.2
},
{
"id": "5e983847-1877-45ee-886a-301bb388f07b",
"name": "Normalize Input Data",
"type": "n8n-nodes-base.set",
"position": [
1430,
540
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "developer_profile",
"name": "developer_profile",
"type": "object",
"value": "={\n  \"name\": \"{{ $json['Your Name'] }}\",\n  \"email\": \"{{ $json['Email'] }}\",\n  \"programming_languages\": \"{{ $json['Programming Languages'] }}\",\n  \"tech_stack\": \"{{ $json['Tech Stack & Frameworks'] }}\",\n  \"specialized_skills\": \"{{ $json['Specialized Skills'] }}\",\n  \"target_market\": \"{{ $json['Target Market'] }}\",\n  \"time_commitment\": \"{{ $json['Time Commitment'] }}\",\n  \"experience_level\": \"{{ $json['Experience Level'] }}\",\n  \"budget_range\": \"{{ $json['Budget Range'] }}\",\n  \"timestamp\": \"{{ $now.toISO() }}\"\n}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1e020c7d-0ceb-4054-a2b5-53ff16d10f3c",
"name": "Ideation JSON Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2315,
480
],
"parameters": {
"jsonSchemaExample": "{\n  \"idea_title\": \"Concise startup name/title\",\n  \"core_concept\": \"Brief description\",\n  \"problem_statement\": \"Problem being solved\",\n  \"target_market\": \"Specific target audience\",\n  \"value_proposition\": \"Unique value offered\",\n  \"business_model\": \"How it makes money\",\n  \"technology_stack\": \"Technologies used\",\n  \"go_to_market\": \"Customer acquisition strategy\",\n  \"scalability\": \"Growth potential\",\n  \"market_size\": \"Market opportunity\",\n  \"success_metrics\": \"Key performance indicators\",\n  \"innovation_score\": \"1-10 rating of how innovative this is\",\n  \"execution_complexity\": \"1-10 rating of how hard this is to execute\"\n}"
},
"typeVersion": 1.3
},
{
"id": "e4ee27a6-6d2e-445f-ba4c-36a0e05c4d37",
"name": "Ideation Language Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
2280,
170
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude 4 Sonnet"
},
"options": {
"thinking": false,
"temperature": 0.8
}
},
"credentials": {
"anthropicApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1.3
},
{
"id": "b8821029-7921-4ac7-93b3-d6026412eed9",
"name": "Critique Language Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1425,
390
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude 4 Sonnet"
},
"options": {
"thinking": false,
"temperature": 0.3
}
},
"credentials": {
"anthropicApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1.3
},
{
"id": "baa3ef22-a7af-4f16-9249-d929df15b6c2",
"name": "Sentiment Language Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
2475,
560
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude 4 Sonnet"
},
"options": {
"thinking": false,
"temperature": 0.2
}
},
"credentials": {
"anthropicApi": {
"id": "credential-id",
"name": ""
}
},
"typeVersion": 1.3
},
{
"id": "09f06ad0-d423-4640-bbf5-02d835e0fe41",
"name": "Critique JSON Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1380,
720
],
"parameters": {
"jsonSchemaExample": "{\n  \"overall_viability_score\": \"1-10 rating\",\n  \"market_validation\": {\n    \"score\": \"1-10\",\n    \"analysis\": \"Detailed assessment\",\n    \"concerns\": [\"List of concerns\"],\n    \"opportunities\": [\"List of opportunities\"]\n  },\n  \"competitive_landscape\": {\n    \"competition_level\": \"Low/Medium/High\",\n    \"main_competitors\": [\"List of competitors\"],\n    \"differentiation_strength\": \"1-10 rating\",\n    \"market_positioning\": \"Analysis of market position\"\n  },\n  \"execution_challenges\": {\n    \"technical_difficulty\": \"1-10 rating\", \n    \"resource_requirements\": \"Assessment of needs\",\n    \"time_to_market\": \"Estimated timeline\",\n    \"major_obstacles\": [\"List key challenges\"]\n  },\n  \"business_model\": {\n    \"revenue_viability\": \"1-10 rating\",\n    \"scalability_score\": \"1-10 rating\",\n    \"unit_economics\": \"Assessment\",\n    \"funding_requirements\": \"Estimated capital needs\"\n  },\n  \"risk_factors\": [\"List of major risks\"],\n  \"recommendations\": [\"Actionable improvement suggestions\"],\n  \"verdict\": \"PROCEED/PROCEED_WITH_CAUTION/MAJOR_REVISIONS_NEEDED/ABANDON\",\n  \"key_success_factors\": [\"What needs to go right for success\"]\n}"
},
"typeVersion": 1.3
},
{
"id": "cea23513-2a89-4c2f-9db9-ca476c1e01ab",
"name": "Sentiment JSON Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2520,
860
],
"parameters": {
"jsonSchemaExample": "{\n  \"sentiment_analysis\": {\n    \"critic_tone\": \"optimistic/neutral/pessimistic\",\n    \"confidence_level\": \"1-10 rating of critic's certainty\",\n    \"bias_detection\": \"Identified biases in critique\",\n    \"emotional_indicators\": [\"Key emotional cues found\"]\n  },\n  \"critique_quality\": {\n    \"thoroughness\": \"1-10 rating\",\n    \"evidence_quality\": \"1-10 rating\",\n    \"balance_score\": \"1-10 rating\",\n    \"missing_perspectives\": [\"What the critic might have missed\"]\n  },\n  \"psychological_factors\": {\n    \"founder_readiness_required\": \"1-10 scale\",\n    \"market_psychology\": \"Analysis of market mood\",\n    \"stress_factors\": [\"Potential stress points\"],\n    \"motivation_factors\": [\"What would drive success\"]\n  },\n  \"meta_analysis\": {\n    \"critique_fairness\": \"1-10 rating\",\n    \"addressable_concerns\": \"% of concerns that can be mitigated\",\n    \"missed_opportunities\": [\"Opportunities critic overlooked\"],\n    \"emotional_journey\": \"Predicted founder experience\"\n  },\n  \"final_synthesis\": {\n    \"overall_recommendation\": \"STRONG_GO/CAUTIOUS_GO/INVESTIGATE_FURTHER/PASS\",\n    \"success_probability\": \"1-100% estimate\",\n    \"key_next_steps\": [\"Prioritized action items\"],\n    \"decision_confidence\": \"1-10 rating\",\n    \"final_insight\": \"One key takeaway for decision making\"\n  },\n  \"executive_summary\": \"2-3 sentence bottom line recommendation\"\n}"
},
"typeVersion": 1.3
},
{
"id": "ca65dce4-99fc-42af-8fbe-b318a43f72c9",
"name": "Session Memory Buffer",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
2970,
180
],
"parameters": {
"sessionKey": "ai-idea-generator",
"sessionIdType": "customKey",
"contextWindowLength": 10
},
"typeVersion": 1.3
},
{
"id": "5a912d2b-b100-4bdd-8b34-0ebcc3f7f5a7",
"name": "Developer Profile Input",
"type": "n8n-nodes-base.set",
"position": [
775,
410
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "7a35045d-ef67-450e-8131-510afb3f0f1d",
"name": "Your Name",
"type": "string",
"value": ""
},
{
"id": "74580f61-112b-47c1-8d80-107fa9899aa6",
"name": "Email",
"type": "string",
"value": ""
},
{
"id": "51ceaff3-373d-4a87-b696-d163f7c80031",
"name": "Programming Languages",
"type": "string",
"value": ""
},
{
"id": "5bc84922-08d2-4761-a6d1-6e054bdc91c4",
"name": "Tech Stack & Frameworks",
"type": "string",
"value": ""
},
{
"id": "086c029e-6a6c-4ce7-861a-4cdf9ce6f388",
"name": "Specialized Skills",
"type": "string",
"value": ""
},
{
"id": "fb3079b0-ac7c-4b88-ad97-58e97d015bd3",
"name": "Target Market",
"type": "string",
"value": ""
},
{
"id": "d52678c9-3b3b-4997-861c-6bbb519600b3",
"name": "Time Commitment",
"type": "string",
"value": ""
},
{
"id": "4de112e8-ee70-4322-be73-01f80a70a7b8",
"name": "Experience Level",
"type": "string",
"value": ""
},
{
"id": "757b004c-c53b-4938-9d85-db472bb30049",
"name": "Budget Range",
"type": "string",
"value": ""
}
]
}
},
"typeVersion": 3.4
}
],
"pinData": [],
"connections": {
"Intake Form Trigger": {
"main": [
[
{
"node": "Normalize Input Data",
"type": "main",
"index": 0
}
]
]
},
"Normalize Input Data": {
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[
{
"node": "Startup Ideation Agent",
"type": "main",
"index": 0
}
]
]
},
"Compose Email Report": {
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{
"node": "Dispatch Idea Email",
"type": "main",
"index": 0
}
]
]
},
"Session Memory Buffer": {
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[
{
"node": "Startup Ideation Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Combine Agent Outputs": {
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[
{
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"type": "main",
"index": 0
}
]
]
},
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{
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}
]
]
},
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{
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"type": "main",
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}
]
]
},
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{
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"type": "main",
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},
{
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"type": "main",
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}
]
]
},
"Critique Language Model": {
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[
{
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"type": "ai_languageModel",
"index": 0
}
]
]
},
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{
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}
]
]
},
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},
"Startup Ideation Agent": {
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{
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"type": "main",
"index": 0
}
]
]
},
"Ideation Language Model": {
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{
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"type": "ai_languageModel",
"index": 0
}
]
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},
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{
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}
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},
"Sentiment Language Model": {
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"type": "ai_languageModel",
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}
]
]
},
"Sentiment JSON Parser": {
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{
"node": "Sentiment Synthesis",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Dispatch Idea Email": {
"main": [
[]
]
},
"Daily Schedule Trigger": {
"main": [
[
{
"node": "Developer Profile Input",
"type": "main",
"index": 0
}
]
]
},
"Manual Run Trigger": {
"main": [
[
{
"node": "Developer Profile Input",
"type": "main",
"index": 0
}
]
]
}
}
}