AutoBriefs
AI-powered video briefing product for business teams.
AutoBriefs turns news, market changes, and competitive signals into short team brief videos. It helps sales, business development, and planning teams understand what external information means for their customers, proposals, internal discussions, and next actions.
Status: Publicly launched
Type: B2B AI / Video Briefing / Knowledge Sharing
Role: Founder / Product Builder
Focus: Product strategy, AI workflow design, prompt design, UX, landing page, launch
Why this project matters
Teams need shared understanding, not just more information
Business teams are surrounded by news, reports, customer updates, and competitor signals. But sharing links or documents often does not create shared understanding.
Important information is easily skipped, interpreted differently by each person, or re-explained repeatedly by managers before meetings and proposals.
What I discovered
The real value is contextualizing information for a team
The core problem is not simply summarization. Teams need external information translated into their own business context.
For sales, business development, and planning teams, the useful question is not only “What happened?” but “How does this affect our customers, competitors, proposals, and next actions?”
Product hypothesis
From external information to team-specific intelligence
AutoBriefs converts news, documents, and market signals into short video briefings tailored to a team’s context.
By setting company, team, industry, customer, and competitor context, the product can organize key points, background, business implications, and possible next actions into a format that is easier to share before meetings or proposals.
What I built
A workflow from topic input to video briefing
I built an AI-assisted workflow that turns source information into a structured brief, generates a script, creates narration, and produces video briefing content.
I also created the landing page, sample brief concepts, pricing structure, and positioning to make the product understandable as a market-facing B2B AI service.
Evidence of execution
From idea to public launch
AutoBriefs was launched publicly as a rapid build-and-launch experiment.
The project included product concept development, AI workflow design, script generation, narration, video generation, landing page creation, sample content, pricing design, and public launch preparation.
What this demonstrates
Build velocity, product packaging, and launch execution
AutoBriefs demonstrates my ability to move quickly from product idea to working product, landing page, public launch, and early market testing.
It is evidence that I can independently build, package, and ship an AI product, not only define product requirements or manage delivery.
