Answerbots
Voice AI engages with incoming calls and connects the interaction to the evidence workflow.
AI + Product / CallSlayer
An interruption.
An opportunity to build.
Robocall evidence is fragmented: a number here, a recording there, a pattern nobody can see. I conceived CallSlayer to connect that evidence, make it useful, and give people a clearer path to action.
MY CONTRIBUTION
Founder · Product and creative lead
MEDIUM / CONTEXT
August 2025–present · Voice AI · SaaS · Intelligence
UNKNOWN
CALLER.
KNOWN
PATTERN.
CALLER.
KNOWN
PATTERN.
EVIDENCE → INTELLIGENCE → ACTION
What I brought
to the work.
I conceived and now lead the platform: product vision, workflows, architecture, positioning, and AI-assisted development. I developed AI voice experiences and connected voice, evidence, and intelligence into the product experience.
The creative work is the whole system: what it does, how it behaves, and why someone would use it.
FEATURED FILM / 34 SECONDS
Runaway Spammer.
Play the film on YouTube ↗A CONNECTED PRODUCT
Hear it. Understand it.
Make it useful.
Structured records
Recordings, transcripts, and call information become a coherent body of evidence.
A wider view
Connect related information and make patterns easier to investigate.
A next step
Design the customer’s path from interruption to review and action.
A conceptual view of the product architecture. No customer records are shown.
The voice has
a job to do.
Building an answerbot is a creative challenge as well as a technical one: the voice, timing, questions, and handoff all shape what the product can learn.
CallSlayer also extends into a public intelligence product designed to connect useful information with organic discovery. That is a product strategy, not a claim of measured growth.