28 Product & Design prompts, curated and searchable. Browse all categories →
Streamlit app converting blog URLs to audio podcasts using GPT-4, Firecrawl, and ElevenLabs APIs.
## 📰 ➡️ 🎙️ Blog to Podcast Agent This is a Streamlit-based application that allows users to convert any blog post into a podcast. The app uses OpenAI's GPT-4 model for summarization, Firecrawl for scraping blog content, and ElevenLabs API for generating audio. Users simply input a blog URL, and the app will generate a podcast episode based on the blog. ## Features - **Blog Scraping**: Scrapes th
Streamlit app using MCP servers, Airbnb, and Google Maps to generate detailed personalized travel itineraries.
## 🌍 MCP Travel Planner Agent Team A sophisticated Streamlit-based AI travel planning application that creates extremely detailed, personalized travel itineraries using multiple MCP servers and Google Maps integration. The app uses Airbnb MCP for real accommodation data and a custom Google Maps MCP for precise distance calculations and location services. ## ✨ Features ### 🤖 AI-Powered Travel Pl
Streamlit AI travel planner using MCP servers, Google Maps, and Airbnb for detailed personalized itineraries.
## 🌍 MCP Travel Planner Agent Team A sophisticated Streamlit-based AI travel planning application that creates extremely detailed, personalized travel itineraries using multiple MCP servers and Google Maps integration. The app uses Airbnb MCP for real accommodation data and a custom Google Maps MCP for precise distance calculations and location services. ## ✨ Features ### 🤖 AI-Powered Travel Pl
Simulates a full digital agency with five specialized AI agents covering strategy, tech, product, dev, and marketing.
An AI application that simulates a full-service digital agency using multiple AI agents to analyze and plan software projects. Each agent represents a different role in the project lifecycle, from strategic planning to technical implementation. ## Demo: https://github.com/user-attachments/assets/a0befa3a-f4c3-400d-9790-4b9e37254405 ## Features ### Five specialized AI agents - **CEO Agent**:
Multi-agent system using Google ADK and Gemini to analyze landing pages, provide UI/UX feedback, and generate improvements.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-an-ai-ui-ux-feedback-agent-team-with-nano-banana) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** A sophisticated multi-agent system built with Google ADK that analyzes landing page designs, provides exper
Multi-agent platform for property search, market analysis, and valuations using Firecrawl and AI.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-an-ai-real-estate-agent-team) and learn how to build this AI SEO Audit Team from scratch with detailed code walkthroughs, explanations, and best practices.** The **AI Real Estate Agent Team** is a sophisticated property search and analysis platform powered by special
A multi-agent AI system that auto-generates personalized travel itineraries covering flights, hotels, dining, and budgets.
**Your journey, perfectly crafted with intelligence.** Travel planning is overwhelming—juggling dozens of tabs, comparing conflicting info, spending hours just to get started. TripCraft AI makes that disappear. It's a multi-agent AI system that turns simple inputs into complete travel itineraries. Describe your ideal trip, and it handles flights, hotels, activities, and budget automatically. ##
Streamlit app using specialized Gemini-powered AI agents for UI/UX visual, UX, and market design analysis.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-multimodal-ai-agent-design-team) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** A Streamlit application that provides comprehensive design analysis using a team of specialized AI agents powered by Googl
Multi-agent system using Google ADK and Gemini to analyze room photos, plan renovations, and generate photorealistic renderings.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-an-ai-home-renovation-planner-agent-using-nano-banana) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** A multi-agent system built with Google ADK that analyzes photos of your space, creates personalized re
Multi-agent Streamlit app using GPT-4o and Firecrawl for competitor analysis, market sentiment, and launch metrics.
### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-multi-agent-product-launch-intelligence-app) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** A **streamlined intelligence hub** for Go-To-Market (GTM) & Product-Marketing teams. Built with **Streamlit
AI-powered pipeline that collects trusted content from articles and social media to generate personalized podcasts.
 Beifong manages your trusted articles and social media platform sources. It generates podcasts from the content you trust and curate. It handles the complete pipeline, from data collection and analysis to the production of scripts and visuals. ▶️ [Watch demo video HD](https://www.canva.com/design/DAGoUfv8IC
Streamlit app using GPT-4, Claude, and Serper API to generate meeting context, strategies, and briefings.
## 📝 AI Meeting Preparation Agent ### 🎓 FREE Step-by-Step Tutorial **👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-multi-agent-ai-meeting-preparation-assistant) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.** This Streamlit application leverages multiple AI agents to create comprehens
Multi-agent 6-week sprint runbook for building and launching a startup MVP from idea to live product.
> **Mode**: NEXUS-Sprint | **Duration**: 4-6 weeks | **Agents**: 18-22 --- ## Scenario You're building a startup MVP — a new product that needs to validate product-market fit quickly. Speed matters, but so does quality. You need to go from idea to live product with real users in 4-6 weeks. ## Agent Roster ### Core Team (Always Active) | Agent | Role | |-------|------| | Agents Orchestrator |
Multi-agent runbook for 6-12 week enterprise feature development with compliance, QA, and stakeholder alignment.
> **Mode**: NEXUS-Sprint | **Duration**: 6-12 weeks | **Agents**: 20-30 --- ## Scenario You're adding a major feature to an existing enterprise product. Compliance, security, and quality gates are non-negotiable. Multiple stakeholders need alignment. The feature must integrate seamlessly with existing systems. ## Agent Roster ### Core Team | Agent | Role | |-------|------| | Agents Orchestrat
Ongoing operational playbook for post-launch product management with multi-agent cadences and continuous improvement loops.
> **Duration**: Ongoing | **Agents**: 12+ (rotating) | **Governance**: Studio Producer --- ## Objective Sustained operations with continuous improvement. The product is live — now make it thrive. This phase has no end date; it runs as long as the product is in market. ## Pre-Conditions - [ ] Phase 5 Quality Gate passed (stable launch) - [ ] Phase 5 Handoff Package received - [ ] Operational c
Coordinates go-to-market execution across 12 agents for maximum launch impact, covering technical deployment and marketing activation.
> **Duration**: 2-4 weeks (T-7 through T+14) | **Agents**: 12 | **Gate Keepers**: Studio Producer + Analytics Reporter --- ## Objective Coordinate go-to-market execution across all channels simultaneously. Maximum impact at launch. Every marketing agent fires in concert while engineering ensures stability. ## Pre-Conditions - [ ] Phase 4 Quality Gate passed (Reality Checker READY verdict) - [
Multi-agent playbook for final quality hardening, evidence collection, and production readiness gating.
> **Duration**: 3-7 days | **Agents**: 8 | **Gate Keeper**: Reality Checker (sole authority) --- ## Objective The final quality gauntlet. The Reality Checker defaults to "NEEDS WORK" — you must prove production readiness with overwhelming evidence. This phase exists because first implementations typically need 2-3 revision cycles, and that's healthy. ## Pre-Conditions - [ ] Phase 3 Quality Ga
Multi-agent orchestration playbook for continuous Dev↔QA sprint loops across parallel build tracks.
> **Duration**: 2-12 weeks (varies by scope) | **Agents**: 15-30+ | **Gate Keeper**: Agents Orchestrator --- ## Objective Implement all features through continuous Dev↔QA loops. Every task is validated before the next begins. This is where the bulk of the work happens — and where NEXUS's orchestration delivers the most value. ## Pre-Conditions - [ ] Phase 2 Quality Gate passed (foundation ver
Multi-agent playbook for defining project architecture, strategy, and technical foundations before coding begins.
> **Duration**: 5-10 days | **Agents**: 8 | **Gate Keepers**: Studio Producer + Reality Checker --- ## Objective Define what we're building, how it's structured, and what success looks like — before writing a single line of code. Every architectural decision is documented. Every feature is prioritized. Every dollar is accounted for. ## Pre-Conditions - [ ] Phase 0 Quality Gate passed (GO deci
Multi-agent playbook for pre-build opportunity validation covering market, UX, data, legal, and tech discovery.
> **Duration**: 3-7 days | **Agents**: 6 | **Gate Keeper**: Executive Summary Generator --- ## Objective Validate the opportunity before committing resources. No building until the problem, market, and regulatory landscape are understood. ## Pre-Conditions - [ ] Project brief or initial concept exists - [ ] Stakeholder sponsor identified - [ ] Budget for discovery phase approved ## Agent Act
A comprehensive deployment doctrine for coordinating AI specialist agents across all project phases with defined handoffs and quality gates.
## The Agency's Complete Operational Playbook for Multi-Agent Orchestration > **NEXUS** transforms The Agency's independent AI specialists into a synchronized intelligence network. This is not a prompt collection — it is a **deployment doctrine** that turns The Agency into a force multiplier for any project, product, or organization. --- ## Table of Contents 1. [Strategic Foundation](#1-strate
Quick-start guide for orchestrating multi-agent AI pipelines across Full, Sprint, and Micro deployment modes.
> **Get from zero to orchestrated multi-agent pipeline in 5 minutes.** --- ## What is NEXUS? **NEXUS** (Network of EXperts, Unified in Strategy) turns The Agency's AI specialists into a coordinated pipeline. Instead of activating agents one at a time and hoping they work together, NEXUS defines exactly who does what, when, and how quality is verified at every step. ## Choose Your Mode | I wan
Executive overview of NEXUS, a multi-agent coordination system delivering parallel execution, quality gates, and structured handoffs.
## Network of EXperts, Unified in Strategy --- ## 1. SITUATION OVERVIEW The Agency comprises specialized AI agents across 9 divisions — engineering, design, marketing, product, project management, testing, support, spatial computing, and specialized operations. Individually, each agent delivers expert-level output. **Without coordination, they produce conflicting decisions, duplicated effort, a
Orchestrates a startup MVP build using MCP memory server to automate agent-to-agent context handoffs without manual copy-paste.
> The same startup MVP workflow from [workflow-startup-mvp.md](workflow-startup-mvp.md), but with an MCP memory server handling state between agents. No more copy-paste handoffs. ## The Problem with Manual Handoffs In the standard workflow, every agent-to-agent transition looks like this: ``` Activate Backend Architect. Here's our sprint plan: [paste Sprint Prioritizer output] Here's our resea
Step-by-step multi-agent coordination workflow for building and launching a SaaS MVP in four weeks.
> A step-by-step example of how to coordinate multiple agents to go from idea to shipped MVP. ## The Scenario You're building a SaaS MVP — a team retrospective tool for remote teams. You have 4 weeks to ship a working product with user signups, a core feature, and a landing page. ## Agent Team | Agent | Role in this workflow | |-------|---------------------| | Sprint Prioritizer | Break the pr
Orchestrates 4 AI agents to design, build, and optimize a conversion-ready landing page in one day.
> Ship a conversion-optimized landing page in one day using 4 agents. ## The Scenario You need a landing page for a new product launch. It needs to look great, convert visitors, and be live by end of day. ## Agent Team | Agent | Role in this workflow | |-------|---------------------| | Content Creator | Write the copy | | UI Designer | Design the layout and component specs | | Frontend Develop
Multi-agent product discovery exercise for a spatial computing AI orchestration platform targeting enterprise users.
> **Exercise type:** Multi-agent product discovery > **Date:** March 5, 2026 > **Agents deployed:** 8 (in parallel) > **Duration:** ~10 minutes wall-clock time > **Purpose:** Demonstrate full-agency orchestration from opportunity identification through comprehensive planning --- ## Table of Contents 1. [The Opportunity](#1-the-opportunity) 2. [Market Validation](#2-market-validation) 3. [Techni
Showcases parallel multi-agent collaboration producing unified product blueprints across engineering, design, marketing, and more.
This directory contains example outputs demonstrating how the agency's agents can be orchestrated together to tackle real-world tasks. ## Why This Exists The agency-agents repo defines dozens of specialized agents across engineering, design, marketing, product, support, spatial computing, and project management. But agent definitions alone don't show what happens when you **deploy them all at on