AI Design Assistant for Branding (Simulated for Yanxiang Interactive)

Project Title

AI Design Assistant for Branding (Simulated for Yanxiang Interactive)

🎯 Objective

To evaluate an intern’s ability to apply AI models, structure ambiguous client needs, and deploy an interactive MVP through rapid prototyping and engineering. The assistant should support U.S. businesses in generating brand assets.

🔧 Core Skill Evaluation Dimensions

Category Evaluation Focus Weight

Prompt Engineering Ability to translate vague user needs into structured dialogue workflows 30%

Multimodal Generation Ability to generate visual samples based on textual prompts (e.g. minimalist logos) 25%

Logical Rigor Whether the assistant captures key fields (industry, budget, timeline, etc.) 20%

Engineering & Deployment Deployable as a working API or web app 15%

Innovation Bonus: Auto-pricing, competitor insights, etc. 10%

📅 7-Day Development Schedule

Day 1–2: Needs Assessment & Prototype Design

Inputs:

Read this document and research branding needs of U.S. SMBs (e.g., Clutch – Logo Agencies)

Deliverables:

✅ Conversation Flow Diagram (min. 5 decision points)

✅ Low-fidelity UI Mockup (show input sequence & output layout)

✅ User Journey Map (Startup, E-commerce, Physical Store)

Day 3–4: Core Feature Implementation

Requirements:

Use LangChain + OpenAI GPT-4 Turbo

Integrate DALL·E 3 for visual generation

Deliverables:

✅ Working bot that handles at least 3 request types: logo, brochure, pricing

✅ 3 sample images generated per user prompt (style-aligned)

✅ Example:

from langchain_core.prompts import ChatPromptTemplate

from langchain_openai import ChatOpenAI

prompt = ChatPromptTemplate.from_template("""

You're a U.S.-based brand designer AI. Ask:

1. What is your business type? (Startup, SMB, Enterprise)

2. Recommend style based on industry.

3. What is your budget? ($500–$5000+)

""")

chain = prompt | ChatOpenAI(model="gpt-4-1106-preview")

Day 5–6: Integration & Testing

Must Do:

Deploy to Slack (via Slack Bolt API)

Integrate Stripe (test mode) for auto-pricing & payment

Add compliance screening with AWS Comprehend

Deliverables:

✅ Slack Bot invitation link

✅ 10 test scenarios (e.g., user changes budget midway)

✅ Bonus: auto-pricing logic based on asset volume

Day 7: Final Delivery

✅ Interactive bot link or hosted Slack app

✅ Technical report (Prompt strategies, API config, failure analysis)

✅ 5-min video demo highlighting:

Real-time image generation

Auto-pricing

Payment workflow

💻 Recommended U.S.-Based Tech Stack

Feature Tool Rationale

AI model OpenAI GPT-4 Turbo + DALL·E 3 Multimodal leader; supports U.S.-compliant usage policies

Dev framework LangChain + FastAPI Modular, fast prototyping, API-ready

Frontend deployment Vercel (Next.js) One-click deploy, fast global CDN

Chat platform Slack API Most-used platform by U.S. enterprise teams

Payment integration Stripe Connect Split payment support for design service marketplaces

Compliance AWS Comprehend Filters race/gender/religion-sensitive content

🧾 U.S. Market Specific Requirements

1. Cultural Adaptation

Preferred Visual Styles:

Tech firms → Minimalist (Apple, Google)

Restaurants → Hand-drawn, rustic (Chipotle)

Avoid:

Red/blue combos (U.S. party affiliations)

Eagle/flag motifs (legal restrictions)

2. Legal Compliance

Use Termly to generate:

Privacy Policy

AI Usage Disclosure

3. Pricing Standards

Use USD; standard U.S. design packages:

Basic: $499 (logo + business card)

Pro: $1,499 (full visual identity suite)

💰 Cost & Tools

Item Cost (Estimate) Free Alternative

OpenAI API ~$0.03 / 1K tokens GPT-3.5 (for draft work)

Slack App (private) Free (dev mode) $80/year for public app

AWS Comprehend ~$0.0001/character Manual review (not preferred)

✅ Evaluation Rubric

Grade Criteria

A All core + bonus features; passed compliance; fast response (<2s)

B Full flow with minor gaps (e.g., pricing logic incomplete)

C Text-based only; no deployment or image generation

🔗 Reference Resources

OpenAI Developer Cookbook: https://cookbook.openai.com

Stripe Payment Integration Docs: https://stripe.com/docs/payments

AWS Comprehend Docs: https://docs.aws.amazon.com/comprehend