Beyond Chatbots: Real-World Agentic Workflows at PartyBus

Beyond Chatbots: Real-World Agentic Workflows at PartyBus

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A fast-growing marketing startup joined forces with Prompt Inversion to automate its hiring and recruiting workflow, cutting weeks of time from prior workflows, while recruiters stayed firmly in control.

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The Challenge

Every high-growth company hits the same wall: more resumes than human hours. Partybus needed to screen hundreds of job applications and job postings, write emails by hand, and match candidates with their ideal roles. The team wanted speed and personalization without surrendering judgment to a black-box agent.

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The Prompt Inversion Solution: PartyBus, an agentic recruiting platform

Our custom solution combined specialized AI agents with a human-in-the-loop workflow. Along the way, we evaluated six leading agentic frameworks on similar tasks, including CrewAI, Microsoft Autogen, HuggingFace Smolagents, PydanticAI, LangGragh, and OpenAI Swarm. Some highlights of our solution architecture are described below. Further details on our agentic evaluations and recommended frameworks are available at our blog at https://www.promptinversion.ai/blog-post/choosing-the-right-agentic-framework-i and https://www.promptinversion.ai/blog-post/choosing-the-right-agentic-framework-ii

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• Data ingestion at scale: A scraping agent gathers live job postings and hiring-manager details from LinkedIn, pipes them into Postgres, and tags each resume with vector embeddings for ideal candidate matching.
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• Semantic matching + RAG personalization: Retrieval-Augmented Generation maps candidate resumes to openings, surfaces skill gaps, and drafts outreach that reads like a custom note.

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• Agentic orchestration: Multi-step agentic pipelines chain together for an end-to-end workflow which starts with candidate resumes and ends with an automated email campaign to hiring managers.

• Human-in-the-loop control: Recruiters review and approve emails in a React dashboard (Material UI, OAuth secured). One click sends the email; another redrafts the email and allows for manual edits.
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• Cloud-ready stack: Our production grade infrastructure includes Python + FastAPI on AWS EC2, Postgres RDS with a vector extension, and static assets on Amplify/S3.

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• Robust testing infrastructure: Our sophisticated integration test suites ensure data reliability, accurate resume matching, consistent API calling and agentic tool use, and accurate LLM output.
  

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Why This Case Study Should Matter to You

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Every agent decision is logged and versioned in S3, so auditors get a transparent and fully reversible trail. Meanwhile, our RAG engine keeps match quality far higher than keyword search, even when recruiters handle tens of thousands of openings.

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If you oversee talent acquisition, run an HR-tech roadmap, or need AI features your dev team can’t spare cycles to build, PartyBus is proof that carefully structured agentic workflows deliver real, measurable ROI today.

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“I would highly recommend Prompt Inversion. The team is excellent, highly knowledgeable and very easy to work with. I plan to work with them again in the future and I would encourage anyone who wants to build with LLMs to give them a call.’’ - Joe Sullivan, CEO, PartyBus