

Role:
Paul Rios, Head of Revenue Experimentation
Industry:
Global engineering talent marketplace
Company Size:
Lean, high-growth startup
Focus:
Building efficient outbound systems without RevOps overhead
Goal:
Transition from founder-led inbound to repeatable, data-driven outbound
đź”— Interview Transcript

When Paul joined Telescoped, he inherited a rare situation: a completely blank slate.
No legacy integrations, no disconnected automation stack, but no RevOps team, either.
The mission was simple on paper but complex in execution: design a scalable outbound GTM motion from zero, without adding operational drag.
He needed to capture the right buyer signals, personalize outreach at scale, and orchestrate workflows across a small stack, all without GTM engineering support.
Using his knowledge of the common trap that revops leaders fall into, he resolved not just to bolt together half a dozen of the typical GTM tools, then end up with a bloated and disconnected tech stack.
And with limited hands on deck, he needed a way to run experiments without engineering support.
Paul took a pragmatic approach and built an adaptive system around just three solutions: Evergrowth + HubSpot + DayAI.
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Here, Paul oversees dozens of custom research agents - autonomous operatives that surface insights on target accounts: hiring trends, tech stack changes, funding signals, even cues hidden in job descriptions or press releases.
“It’s easy as a non-technical user to build a vast amount of Agents, test them, fire the ones that stop producing value, and orchestrate the rest.”
Paul’s testing process in Evergrowth is simple
This agentic iteration loop allows Telescoped’s GTM to evolve in real time, no engineering sprint cycles, no dependency or bottlenecks from ops resources.
“You can play with ChatGPT, with Clay and other solutions but then orchestrating all that with band-aids and glue like n8n just wasn't feasible.”
“...it doesn’t seem scalable to me - it seems brittle.”
Telescoped’s outbound operation now runs like a living system.
By treating AI agents as expert colleagues - not tools - Paul created a rhythm of continuous learning and adaptation that simply wasn’t possible before.
Role:
Paul Rios, Head of Revenue Experimentation
Industry:
Global engineering talent marketplace
Company Size:
Lean, high-growth startup
Focus:
Building efficient outbound systems without RevOps overhead
Goal:
Transition from founder-led inbound to repeatable, data-driven outbound
đź”— Interview Transcript
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Paul’s approach exposes a quiet truth about modern go-to-market: tool-bloat slows you down more than lack of data ever will.
In short: being agile and flexible is far superior to overengineered GTM tech integrations. The ability to rapidly redesign your signal fabric in a unified GTM workspace is the new GTM advantage.
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“In previous roles, so much time went into capturing signals, validating them, and synthesizing them into something useful for outreach.
Here, it’s all done in one seamless operation; once it’s set up, it just hums in the background.”
No, Evergrowth does not limit on the number of any Agents. Qualification, Account Research, Persona Research, Play Drafting - you can hire as many as you like.
You are only charged for the successful tasks like research and Play drafting that your agents perform.
Evergrowth has native integrations with most CRMs (HubSpot, SalesForce, Pipedrive, MS Dynamics, Zoho, etc.).
Both our Research-based Agents and Play drafting Agents can be testing within in-app sandboxes.
Our Evergrowth experts also work with you (during onboarding and with ongoing professional service support) to share best practice guidance for providing AI instructions that get the exact results you need.
Evergrowth comes with ready-to-use best practice Workflows.
These can be added and configured in minutes to connect your Agents to work in sync to autonomously qualify, research, enrich, then draft strategy & outreach based on your prospects and sales motion.
Users can launch their Research Agents ad-hoc for selected accounts, or as part of an end-to-end orchestration workflow.
These workflows can also be run on repeat schedules, so if you need research insights and signal data fresh, Evergrowth can handle this automatically for you!
Paul continues to expand Telescoped’s agent network, experimenting with new enrichment models, refining orchestration, and pushing personalization even further.
Each week, the system gets smarter, leaner, and faster, compounding its impact over time.
