Build a hyper-personalized AI outreach agent for local B2B lead generation.
Sales teams waste countless hours manually copying contact details from Google Maps and drafting repetitive emails. An automated, intelligent pipeline removes this bottleneck completely. Building this proves you can connect data scraping, enrichment, and language models into a reliable system that directly drives revenue.
The Brief
You are building an autonomous pipeline that takes zero manual input and produces a list of verified, enriched leads complete with ready-to-send, highly personalized outreach messages. The target is local businesses that might book corporate events or group hospitality packages. Your system needs to find them, figure out what they do, verify their contact information, and write a message that actually gets read instead of immediately deleted.
The real challenge here is not the code, but the pipeline architecture and decision-making. You have to determine what data makes a lead qualified, where personalization adds value versus where it sounds like robotic slop, and how to handle the inevitable failures when a scraping step or email verification returns nothing. It requires mapping the entire workflow before writing a single script and defining strict boundaries between deterministic logic and LLM reasoning.
The Idea Behind It
This hospitality business wants an internal builder to ship working solutions weekly to solve operational problems. They specifically requested a system to automate their manual corporate outreach by scraping local targets, enriching the data, and crafting bespoke messages without human intervention.
Prototyping this exact pipeline demonstrates you understand commercial objectives and can independently string together discrete APIs and AI models to replace manual data entry with scalable systems.
What You Will Build
- A targeted scraping module that extracts local business data from Google Maps based on specific commercial criteria.
- An enrichment workflow that gathers additional context on each lead to inform messaging.
- A deterministic email verification step to ensure high deliverability and avoid bounce rates.
- An LLM-powered drafting engine that generates highly personalized, context-aware outreach emails based on the enriched data.
- A clear pipeline map detailing tool choices, decision logic, and error handling for the entire process.
Requires connecting multiple APIs, handling rate limits, and designing prompt logic that avoids generic outputs.
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