Workflow · saas · workflow

Building Your Own Product Copilot: Challenges, Opportunities, and Needs

Software engineers building product copilots face pain points at every step of the engineering process — including prompt engineering, orchestration, and testing — because existing software engineering processes and tools have not caught up with the challenges involved in building AI-powered applications.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User query as trigger
A user provides a query or command to the product copilot to initiate an interaction.
Tools used
GPT-4Mural
Outcome

(not stated)

Source

https://arxiv.org/html/2312.14231v1

How we source this →

Grounding & classification
Source type: technical build writeup
12 fields verified against source quotes.
agentic workflowcode generationconversational aifailure mode describedhuman review describedtools describedworkflow describedsoftwaretechnical build writeupagentic task executionextract classify route