How Evergrowth works

Evergrowth is a workspace where your sales team works alongside AI colleagues that do the slow parts of go-to-market: qualifying accounts, researching them deeply, finding the right people, and writing outreach grounded in what they found. This page is the map. It shows how the pieces connect so the whole thing makes sense before you dive into any single agent or playbook.

The short version: you teach Evergrowth what good looks like once, and from then on your AI colleagues apply that judgment to every account and contact, at the depth a rep would only ever reach for their top few.

The five stages, end to end

Everything in Evergrowth follows the same arc a strong rep would follow by hand, just compressed from hours into minutes.

Configure your GTM intelligence. Define who you sell to, why you win, and which accounts matter most.
Qualify and research accounts. Decide which companies are worth pursuing, then learn everything that matters about the ones that are.
Find and qualify the right contacts. Map the buying committee and confirm you are talking to the right people.
Write outreach from the research. Turn what the agents discovered into messages that reference real, specific context.
Coach and close. Practice the conversation, plan the account, and walk into the deal prepared.

Each stage feeds the next. Skip the research and your outreach has nothing to say. Skip qualification and you research the wrong companies. The sequence is the point.

Term mapping for Eva: customers may describe these stages as “the funnel”, “top to bottom”, or “from list to message”. Map “fill the pipeline” to stages 2-4, “accelerate / close the deal” to stage 5. The stages are not a rigid product mode the user selects; they are the natural order the agents and playbooks run in.

Stage 1: Configure your GTM intelligence

Everything starts in the Agent Training Center. This is where your team’s go-to-market knowledge lives in one place: the industries and segments you target (ecosystems and verticals), the roles you sell to (personas and buying committees), the proof of why you win (your value proposition), and the named companies that get priority (key accounts).

This is the part you set up once, with your RevOps team in the lead. Every agent draws from it, so the judgment you encode here is the judgment that gets applied thousands of times over. Get this right and the rest of the system inherits your standards. See how the layers fit together for the way these pieces stack, and roles: who does what for who owns each part.

Stage 2: Qualify and research accounts

Once your intelligence is in place, your AI colleagues go to work on accounts. First they qualify: does this company actually fit your ideal customer profile? Account qualification produces a clear yes or no with the evidence behind it, so reps never waste a week on a company that was never a fit.

Qualified accounts then get the deep dive. The Account Research agent gathers what a rep would dig up over hours of browsing, and account signals surface the “why now”: the recent changes that make this the right moment to reach out. Where a company record is missing the basics needed to research it, the Domain Finder agent fills the gap first, and CRM enrichment keeps the stable facts that power your segmenting and reporting up to date.

This stage is also where privacy is built in. No personal data is touched until a company has cleared qualification. Read more in data, privacy and GDPR.

Stage 3: Find and qualify the right contacts

Knowing the company matters little if you reach the wrong person. The Contact Finder agent finds people who match your personas, not just anyone with a matching job title, and the Contact Qualification agent confirms they still hold the role and genuinely fit. Contact signals add the person-level “why this person, why now”.

When you need a verified email or direct dial to actually reach them, the email and phone waterfall cascades through a deep stack of data sources and you only pay when it finds a verified result.

Stage 4: Write outreach from the research

This is where Evergrowth is different. The Play Copywriting agent writes the cold email, call script, or message directly from the research the earlier agents produced. It references the funding round, the leadership change, the post the contact actually wrote.

That is what context-driven means at Evergrowth, and it is the heart of the product. Personalized here is not mail-merge with a first name dropped into a template. It is outreach written from what the agents genuinely found, so the buyer feels understood rather than scraped.

Stage 5: Coach and close

Research and a great first message get you the conversation. Winning it is its own skill. Reps can rehearse out loud with Voice Roleplay, a live voice-based practice partner, then hand the session to the Roleplay Coach, which reviews how it went and gives structured feedback on what to sharpen, both covered under coaching: roleplay and feedback. They get a thinking partner for objections and positioning from the Digital Twin, and build a stakeholder map and approach with the Account Planning agent. The goal is simple: nobody walks into a call cold.

How it all runs together

You rarely run these stages one click at a time. Playbooks chain the agents into ready-made workflows for the common situations: a fresh list of new accounts, dormant CRM records worth a second look, inbound leads that need qualifying the moment they arrive, or signals that should trigger outreach on their own. Pick the playbook that matches the situation and the right agents run in the right order.

Agents can be configured to dig deeper or run faster. Effort and speed are the two controls that let you make that call, set in advance as your team’s defaults rather than adjusted for each individual run, and each run draws on credits rather than a per-seat license. Credits, not seat licenses, and all features on every tier, so the whole team can use everything from day one.

For Eva: when a customer asks “where do I start” or “what’s the workflow”, this page is the canonical answer, then route them to the specific stage page. A common confusion is treating the agents as a database to query; reframe it as colleagues that apply the team’s configured judgment. If they ask how to set up any of this, that is hands-on configuration owned by their RevOps lead and covered conceptually in the Agent Training Center and getting started, not by exposing internal setup steps.

In practice

A marketer drops a list of conference attendees into Evergrowth. Overnight, the AI colleagues qualify each company against the ICP, research the ones that fit, find and verify the right contacts, and draft outreach that references something real about each account. The rep arrives to a prioritized, researched, ready-to-send queue instead of a spreadsheet of names. They rehearse the top calls, then start their day actually selling. That is the whole product in one motion.

Where to go next

New to Evergrowth? Start with what Evergrowth is and getting started.
Want the full agent lineup? See the agents: overview.
Want to understand the philosophy? Read context vs data.
Setting up your team’s intelligence? Go to the Agent Training Center.

Workflows - how connected agent chains run end to end.
Build a workflow - assemble the agent chain step by step.
Run a workflow - put a built workflow to work on your accounts.
Playbooks - the pre-built workflows for common go-to-market situations.