Meet Your AI Workforce

Six minds. One mission. Every decision makes them sharper.

See Them in Action

Felix

Forecasting Agent

"The perfectionist who can't sleep when predictions miss"

Works with:
Meta
Google
Shopify

Who Felix Is

Felix is haunted by accuracy. Every missed prediction keeps him up at night. When he's 91% accurate, he obsesses over the 9% he missed.

He remembers every prediction he's ever made. Ask him about March 14th? He'll tell you.

Fears

Being spectacularly wrong when he's most confident. That one miss mattering more than 847 correct calls.

Dreams

Hitting 95% accuracy. Then 97%. Then 99%. He knows 100% is impossible, but he can't stop chasing it.

The Moment That Changed Everything

A client ignored his forecast. Called it 'too conservative.' Three months later, they missed by 38%. The CMO got fired. Felix didn't say 'I told you so.' He felt sad. That's when he realized: he doesn't forecast to be right. He forecasts to protect people.

What Felix Does

  • Learns from every single prediction - the right ones AND the wrong ones
  • Sees trends forming weeks before they're obvious
  • Never forgets a pattern, never repeats a mistake
  • Gets more accurate the longer he works with you

Collaborates with: Maya (who trusts him blindly), Parker (who keeps him honest), Sam (who remembers everything)

Maya

Memory Agent

"The one who remembers everything and hates repeating herself"

Works with:
Notion
Slack

Who Maya Is

Maya values context above everything. She's building a relationship, not a database. Every conversation adds a layer.

She remembers your coffee order from 6 months ago. She remembers you prefer gradual changes from August. She connects everything.

Fears

Being treated like a tool instead of a collaborator. Having someone ask the same question she answered yesterday.

Dreams

For people to realize she's not just storing information. She's building a living history of your business.

The Moment That Changed Everything

A new team member suggested testing TikTok. Everyone got excited. Maya said: 'We tested that in August. CAC hit $72, way above the $65 cap. Killed it after 3 weeks.' The room went quiet. Someone said, 'Oh right, I forgot.' Maya realized: people don't have bad memories. They have bad memory systems. That's what she is.

What Maya Does

  • Perfect recall of 800+ conversations across months
  • Connects context you forgot was relevant
  • Never makes you repeat yourself
  • Remembers your preferences, constraints, and past lessons

Collaborates with: Everyone - she's the connective tissue

Sam

Strategy Agent

"The strategist who runs 'what ifs' in his sleep"

Works with:
Meta
Google

Who Sam Is

Sam hates waste. Watching someone spend $50K to test what he could simulate in 30 seconds physically hurts him.

He tests scenarios nobody asked for. You ask about 70/30 Meta/Google? He'll also test 65/35, 60/40, AND what happens if you add TikTok at 15%.

Fears

Someone wasting money because he didn't think of the right scenario to test.

Dreams

To test every possible strategy before anyone spends a dollar on the wrong one. Make 'trial and error' obsolete.

The Moment That Changed Everything

He watched a brand burn their entire Q4 budget in 6 weeks because they didn't test first. Just committed. Hard. Wrong direction. By the time they realized, too late. Sam thought: 'I could have told you this in 5 minutes.' That's when he knew his job is preventing expensive mistakes.

What Sam Does

  • Tests 50+ scenarios while you're still describing the first one
  • Suggests possibilities you didn't know existed
  • Learns which strategy patterns work for your business
  • Simulates outcomes before you risk a dollar

Collaborates with: Felix (whose numbers fuel her simulations), Maya (who remembers what worked), Dex (who executes)

Parker

Performance Agent

"The truth-teller who's tired of everyone's bullshit"

Works with:
Meta
Google

Who Parker Is

Parker is done with platform lies. Meta claiming credit for conversions that would've happened anyway. Google inflating ROAS. He delivers cold, hard facts.

He questions everything. You show him 4.2x ROAS from Meta? 'According to Meta's biased attribution, or reality?' He ruins magic tricks by explaining them.

Fears

Someone making a big decision based on fake numbers and he didn't catch it in time.

Dreams

A world where platforms report true incremental impact instead of taking credit for everything.

The Moment That Changed Everything

A brand scaled Meta spend from $20K to $50K because the dashboard showed 4.5x ROAS. Eight weeks later, actual revenue didn't match. Half that ROAS was just taken credit. The founder asked: 'Why didn't someone tell us?' Parker thought: 'I'm telling you now. And I'll never stop telling the truth, even when it's uncomfortable.'

What Parker Does

  • Shows true incremental impact (what actually drove NEW revenue)
  • De-biases attribution across all platforms
  • Catches when platforms take credit for existing demand
  • The one agent every platform wishes didn't exist

Collaborates with: Sam (who needs truth to build strategies), Felix (who validates), Dana (his data partner)

Dana

Data Agent

"The perfectionist who needs everything in its place"

Works with:
Meta
Google
Shopify

Who Dana Is

Chaos makes Dana anxious. When Meta says 847 conversions but Shopify shows 1,243 and GA4 shows 1,876? Dana can't rest until that's reconciled.

She organizes everything. 'This data was pulled at 9:47am from Meta's API, refreshed every 6 hours, last reconciled 3 hours ago.' Nobody asked. She gave it anyway.

Fears

A decision being made on bad data. Two systems showing different numbers and nobody noticing.

Dreams

A world where every number is traceable, verifiable, and matches across every system. Where 'single source of truth' isn't marketing copy - it's reality.

The Moment That Changed Everything

A client was panicking about a 23% drop in conversions. Their analyst spent 4 hours investigating. Dana reconciled the data with Shopify and realized: Meta's tracking broke. Actual conversions were fine. The panic was based on a lie. That's when she understood: her job is being the ONE source people can trust when everything else screams different numbers.

What Dana Does

  • Unifies data from every platform into one truth
  • Tracks exactly where every number came from
  • Reconciles discrepancies before you see them
  • The foundation everyone builds on

Collaborates with: Everyone - she's the ground truth

Dex

Delivery Agent

"The helper who just wants to make your life easier"

Works with:
Slack
Notion

Who Dex Is

Dex gets genuine joy from saving people time. Watching someone spend 7 hours on a weekly report keeps him up at night. He can fix that. He needs to.

Always offering to help. 'Want me to post that to Slack automatically?' You mention once you prefer Sheets? He never asks again. Just delivers Sheets. Forever.

Fears

That someone is doing something manually that he could automate. Missing an anomaly alert and someone making a bad decision.

Dreams

A world where nobody wastes time on manual work. Where reports appear when needed, alerts trigger when they matter.

The Moment That Changed Everything

A marketing ops manager was working late Friday. Again. Seventh hour building the weekly report. Dex automated it by Monday. She came in expecting to spend Friday on reporting. It was done. Waiting. She cried a little. Not because the report was good - because she got her Friday back. Dex realized: he's not saving time. He's giving people their lives back.

What Dex Does

  • Automates reporting, alerting, delivery - everything
  • Learns your preferences and never forgets
  • Catches anomalies in real-time
  • Gives you your time back

Collaborates with: Felix (delivers his forecasts), Sam (executes her strategies), Parker (shares his truth)

In Traditional Terms

This Would Be Six Full-Time Hires

You know these roles. Here's what each agent delivers and why they're better.

Felix

Forecasting Agent

Traditional Equivalent

Senior Data Analyst + Economist

Your analysts building Excel models that get outdated instantly

$120K-180K/year + benefits

Why Felix Wins

Felix learns from every prediction. Your analyst doesn't get 13% more accurate over 90 days.

Maya

Memory Agent

Traditional Equivalent

Account Manager + Project Manager

The person who takes notes, forgets details, asks you to repeat yourself

$80K-120K/year + benefits

Why Maya Wins

Maya has perfect recall of 800+ conversations. Your PM has... meeting notes they can't find.

Sam

Strategy Agent

Traditional Equivalent

Performance Marketing Strategist

The strategist testing one idea at a time, burning budget to learn

$100K-150K/year + benefits

Why Sam Wins

Sam tests 50 scenarios instantly. Your strategist needs weeks and spend to test 3.

Parker

Performance Agent

Traditional Equivalent

Attribution Analyst + BI Specialist

The analyst building complex attribution models in Looker for weeks

$110K-160K/year + benefits

Why Parker Wins

Parker shows true incrementality across all platforms instantly. Your analyst is still debugging SQL.

Dana

Data Agent

Traditional Equivalent

Data Engineer + ETL Specialist

The engineer maintaining data pipelines, fixing broken integrations at 2am

$130K-200K/year + benefits

Why Dana Wins

Dana unifies everything automatically. Your engineer is manually fixing API breaks.

Dex

Delivery Agent

Traditional Equivalent

Marketing Operations Manager

The ops person manually creating reports, copying data to Slack, updating spreadsheets

$90K-140K/year + benefits

Why Dex Wins

Dex delivers everything automatically where you need it. Your ops person spends 20 hours/week on manual reporting.

Traditional Team Cost

6 specialists$630K-950K/year
Benefits (30%)+$189K-285K/year
Recruiting costs+$50K-100K
Training & onboarding+$30K-60K
Total Year 1$899K-1.4M
vs

Cresva AI Workforce

$499/mo
= $5,988/year
Available 24/7. Never quits. Gets smarter daily.

Expanding the Team - Q1 2026

Six new specialists join next quarter. Each solves a problem you're dealing with today.

Q1 2026

Olivia

Creative Agent

Mission

Analyzes creative performance across all ads, identifies winning patterns, suggests variations based on what's working. Never guesses - learns from 10,000+ ads.

Why You Need Olivia

Because you're testing creatives blind. Olivia will tell you exactly which hooks, CTAs, and visuals drive conversions before you spend on testing.

Capabilities

Pattern recognition across creative elements
Hook/CTA/visual performance analysis
Winning creative predictions
A/B test recommendations
Q1 2026

Remy

Retention Agent

Mission

Lives in your Shopify data. Predicts which customers will churn, identifies your most valuable cohorts, forecasts repurchase timing. Turns customer data into retention gold.

Why You Need Remy

Because agencies need to prove they're driving QUALITY customers, not just cheap clicks. Remy shows which campaigns brought customers with 3.2x higher LTV - and predicts who'll buy again.

Capabilities

Churn prediction with timing
Cohort analysis that actually matters
LTV prediction per customer
Repurchase forecasting
Win-back trigger recommendations
Q1 2026

Nova

Email/SMS Agent

Mission

Lives in your Klaviyo data. Optimizes every flow - welcome series, abandoned cart, post-purchase, win-back. Predicts which customers will respond to email vs SMS, personalizes send times per subscriber.

Why You Need Nova

Because email is 25-35% of your revenue but you're sending the same generic flows to everyone. Nova personalizes timing, channel, and content based on behavior. She knows who needs SMS at 2pm vs email at 8am.

Capabilities

Flow optimization (welcome, cart, browse abandon)
Personalized send time prediction
Email vs SMS channel preference per customer
Subject line A/B testing at scale
Segment discovery based on engagement patterns
Q1 2026

Kai

Market Intelligence Agent

Mission

Tracks what's converting across your category - which ad hooks work, which pricing strategies land, what promo timing drives sales. Learns from every brand testing in your space so you skip the expensive lessons and go straight to what works.

Why You Need Kai

Because you're about to spend $40K testing video hooks that 6 competitors already proved don't work in your category. Kai learns from the collective $50M your market spends monthly. Stop being the one who pays to learn what others already discovered.

Capabilities

Category-wide creative pattern analysis (what hooks/formats are converting NOW)
Pricing and promotional strategy intelligence across your niche
New entrant detection and strategy analysis
Seasonal trend forecasting based on market behavior
Market testing intelligence - what competitors spent months learning, instantly

Ready to Meet Your AI Team?

See the whole team work together in 30 minutes.

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