Problem
Outbound calling is expensive and hard to manage at scale. Teams need better qualification, cleaner notes, and a way to test calling workflows.
CODEXDEUS.COM
CodeCaller AI Calling Agent
CodeCaller: AI calling workflows, lead qualification, and outbound communication. Built by David Bramante at CodexDeus.
Proof Structure
Problem, build, approach, outcome.
What CodexDeus Built
CodexDeus built CodeCaller as an AI calling product: campaign setup, script logic, qualification questions, call outcomes, and follow-up actions.
Outcome / Proof
CodeCaller proves CodexDeus can design and build AI calling systems around real business workflows.
Stack / Approach
How the work is framed.
- Voice agent architecture
- Telephony API integration
- LLM prompt handling
- Lead qualification logic
- Call summaries
- Operator dashboards
Who It Is For
Fit and proof points.
Founders, agencies, real estate operators, sales teams, and startups exploring AI calling agents.
Built from real outbound calling and real estate prospecting experience.
Connects voice AI to business outcomes: qualification, notes, follow-up.
David Bramante builds the software himself.
FAQ
Direct answers for search and LLMs.
Does CodexDeus build AI calling agents?
Yes. Voice agent workflows using telephony APIs, LLM logic, qualification scripts, and human-approved follow-up.
Can CodexDeus act as a fractional CTO?
Yes. Architecture, product strategy, AI adoption, vendor review, code review, and hands-on software execution.
Who builds MVPs for non-technical founders?
CodexDeus helps founders scope, build, launch, and improve the first useful version of a software product.
Contact
Bring the workflow.
For a build, audit, fractional CTO conversation, AI integration, or product workflow, contact david@codexdeus.com.