Application Templates · Claude for Startups

“What Are You Building on Claude?” — 5 Copy-Paste Templates for Your Startups Application

Updated October 2026
Reading Time: 8 min5 Industry Templates Included
Last Updated: October 2026 (Verified for Accuracy)

How to Use These Templates

Each template below covers both required application fields: (1) "What are you building on Claude?" and (2) "Where do you want support from Anthropic?" — both capped at ~500 characters. Customize the bracketed placeholders with your actual product name, target customer type, and specific Claude model. Do not copy verbatim — reviewers recognize repeated boilerplate.

What Makes a High-Scoring Answer

Anthropic's reviewers read thousands of applications. They are specifically looking for four signals of genuine product-level integration:

Specific Model Name
"Claude Opus 5.5" not "Claude" or "Claude AI"
Architectural Justification
Why Claude specifically — context window, computer use, refusal behavior
Volume Signal
Token counts, users/day, or call frequency shows real usage
Concrete Support Ask
Rate limit tier, BAA guidance, beta model access — not "general support"

5 Ready-to-Customize Templates

Template 1
Developer Tools / AI-Native IDE
📝 What are you building on Claude?
[Product Name] is a developer-facing AI code review platform built on Claude Opus 5.5. We route each PR diff through a 200K-context agentic pipeline that identifies logic errors, security vulnerabilities, and architectural regressions. We chose Claude over GPT-6 Sol because Opus 5.5 hallucinates 40% less on long-context repo analysis in our internal benchmarks.
363 characters
🎯 Where do you want support from Anthropic?
We need elevated rate limit tiers (Tier 3: 4,000 RPM) to process concurrent PR reviews across 500 daily active users without 429 throttle errors. Additionally, early access to Claude 3.7 Sonnet's extended thinking API would accelerate our architectural review reasoning pipeline before our Q1 2027 launch.
305 characters
Template 2
Autonomous AI Agent Platform
📝 What are you building on Claude?
[Product Name] automates end-to-end B2B sales outreach using Claude Opus 5.5 computer use. Our agents open browsers, scrape LinkedIn profiles, draft hyper-personalized emails, and submit contact forms autonomously. We process 10,000+ agentic tool calls per day. Claude's computer use API is architecturally irreplaceable — no competitor supports this natively.
360 characters
🎯 Where do you want support from Anthropic?
We require Tier 3 rate limits to sustain 500 simultaneous computer use sessions without throttling. Access to Anthropic's Applied AI team for agentic reliability best practices would directly unblock our reliability roadmap. We also need guidance on multi-agent orchestration context management within Claude's 200K window.
323 characters
Template 3
SaaS / Content Intelligence
📝 What are you building on Claude?
[Product Name] is a B2B content intelligence platform for marketing teams. Claude Sonnet 3.7 powers our brand voice analysis engine: we ingest client brand docs (up to 150K tokens) and generate on-brand copy variants at scale. Claude's consistent tone adherence across long-context brand guidelines outperforms every competing model we tested.
343 characters
🎯 Where do you want support from Anthropic?
Our primary need is prompt caching support at scale — we inject 120K-token brand contexts per customer session. Anthropic technical guidance on optimal caching strategy would reduce our inference costs 70%. Rate limit uplift to Tier 2 would allow concurrent brand analysis for our 200+ enterprise pilot clients without service degradation.
339 characters
Template 4
FinTech / Compliance Automation
📝 What are you building on Claude?
[Product Name] automates regulatory compliance review for fintech companies using Claude Opus 5.5. We analyze 500-page regulatory filings, map them to company policy documents, and flag compliance gaps. The 200K context window is essential — no other model handles full-document regulatory analysis without chunking that breaks cross-reference logic.
350 characters
🎯 Where do you want support from Anthropic?
We need Anthropic's legal team guidance on data processing agreements for handling SOX/GDPR-sensitive financial data in Claude API calls. Rate limit Tier 3 access is needed for simultaneous compliance runs across 50 enterprise clients. Early access to Claude's batch processing API would reduce per-analysis costs by an estimated 65% at our usage volume.
354 characters
Template 5
HealthTech / Clinical AI
📝 What are you building on Claude?
[Product Name] assists clinicians with differential diagnosis by analyzing patient notes, lab results, and imaging reports using Claude Opus 5.5. Our 180K-context system ingests a full patient history in a single prompt and returns ranked differentials with evidence citations. Claude's accuracy on clinical language and its refusal to hallucinate dosages makes it the only viable model for healthcare.
402 characters
🎯 Where do you want support from Anthropic?
We require Anthropic's guidance on HIPAA Business Associate Agreement (BAA) compliance for API data handling. Technical support for implementing Claude's extended thinking to improve clinical reasoning chains is critical. Tier 3 rate limits will support 300 concurrent clinician sessions in our hospital pilot launching Q1 2027.
328 characters

Other Application Fields: Quick Guide

"What % of monthly AI spend is on Anthropic?"

Select 21–40% if you are splitting inference between Claude and other providers (e.g. Gemini Flash for cheap routing, Claude Opus for complex tasks). Select 60%+ if Claude is your primary provider. Higher Anthropic spend percentages signal stronger commitment and may receive higher credit grants.

"How are you building on Claude?"

Select API / SDK if you call the Anthropic API directly from code. Select Claude Code if you use the Claude Code CLI for developer tooling. You can select multiple options. If you use Claude Team workspace AND the API, check both.

Frequently Asked Questions (FAQ)

Q:How many characters should my 'What are you building on Claude?' answer be?

Anthropic's application interface sets a character limit of approximately 500 characters for this field. Your answer should be substantive enough to fill close to that limit without being padded. Reviewers respond better to technically specific, dense answers than to short vague ones — aim for 450–500 characters.

Q:Can I copy these templates exactly, or should I customize them?

You should customize the templates with your actual product name, target customer segment, and specific Claude integration details. These templates give you the proven structure and technical vocabulary that passes reviewer checks. Replace bracketed placeholders ([Product Name], [Your Industry]) with real specifics — reviewers can recognize generic boilerplate.

Q:What should I write in 'Where do you want support from Anthropic?'

The 'support' field is your chance to tell Anthropic what you need beyond credits. Strong answers request specific things: rate limit tier elevation for high-volume pipelines, early access to beta model releases, technical office hours with Applied AI engineers, or guidance on prompt caching architecture. Vague answers like 'general support' score poorly.

Q:Does mentioning Claude Opus 5.5 vs Sonnet vs Haiku affect approval?

Yes. Mentioning specific model names signals technical depth and intentionality. If you explain why you use Claude Opus 5.5 specifically (e.g. its 200K context window for document analysis, high-reasoning quality for multi-step agents), reviewers understand you have done your homework. Generic 'Claude' references without model specificity read as superficial.

Q:Should I mention competitor models (GPT-6, Gemini) in the application?

Briefly mentioning why you chose Claude over alternatives is a positive signal. For example: 'Claude Opus 5.5's 200K context window and superior instruction-following outperformed GPT-6 Sol in our internal evals for long-document legal analysis.' This shows you evaluated alternatives and made an informed architectural decision.

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