Stackbirds — One-Page Pitch

Problem

AI Agents Require a 300-Page Manual.

Prompting fails operators — they skip steps, assume context, contradict themselves

Copilot problem — the capability exists, but the interface fails non-technical users

Glue work stays manual — CRM updates, data copying, form filling remain entirely manual

Core Insight: Instead of humans prompting agents, agents should prompt humans.

The Right Team

Zainab Ghadiyali

Co-Founder & CEO

Meta Ads Growth · Airbnb · Canva

Built 7-figure ARR company in under a year

Giselli Panontini

Co-Founder & CTO

Youngest VP Engineering at Microsoft

Led Microsoft's Core Copilot infrastructure

10+ yrs neural networks & transformers

🔥 Founder Meet Story

Partnership forged during a high-stakes AI security incident — international cybercrime ring. Paid zero ransom. Evidence before a federal judge. Build fast, rigorous, resilient.

Investment Ask

$100K

Strategic Angel Round · Standard YC SAFE

None

Val. Cap

10%

Discount

Raised: $65KTarget: $100K

Microsoft × Meta × Airbnb × Canva pedigree

Observation-based = proprietary data moat

Inference costs ↓ 90% · browser reliability ↑ 70–90%

88% companies use AI · none can configure agents

How It Works

The Show-and-Clarify Loop

01 Install → 02 Demonstrate → 03 Clarify ^IP → 04 Compile ^IP → 05 Execute → 06 Supervise

Agent learns by watching a single demonstration — not by reading a 300-page manual

Asks clarifying questions to fill gaps — no need to anticipate every condition upfront

Compiles into a structured instruction set (IP) models can execute and refine over time

Runs autonomously across all browser-based apps — Sheets, HubSpot, Notion, Slack

Goal: 100,000 self-trained agents. Proprietary instruction graph builds a compounding data moat.

Market Opportunity

$1T+ Market for Glue Work

TAM

$1T+

20–30% of knowledge worker time

SAM

$120–150B

Browser-native teams

SOM

$1–3B

Automatable today

Why Now

Foundation models — inference costs ↓ 90%, specialise on dozens of examples

Browser automation — reliability jumped from ~40% to 70–90%

88% of companies use AI — but SMBs still can't prompt or configure agents

Competition

Two Axes · Four Quadrants · One Winner

How agents learn (Prompt vs. Observation) × Where they learn (Single vs. Cross-domain)

Q1 · Prompt × Cross-Domain

Zapier, UiPath, LangChain — assume users can encode complexity. They can't.

Q2 · Prompt × Single-Domain

AI SDRs, Receptionists — fail when logic spans multiple systems.

Q3 · Observation × Single-Domain

Macros, RPA recorders — features, not platforms.

Q4 · Observation × Cross-Domain ← STACKBIRDS

The ONLY platform enabling self-trained, cross-domain agents the way people actually learn.

GTM Strategy

Land 1 Workflow → Win the Org.

ICP

Ops/Mktg/Sales teams · 10–200 employees · heavy browser glue work

Wedge Target ARR

~$100K

within first months

1 Workflow

→

Role Automation

→

Multi-Agent Teams

→

Enterprise AI Workforce

Template flywheel: 1 workflow → templates → users → creators → more automation

Integrations: Scribe, Tango, Loom — millions already record workflows here

Business Model

Monetise Labor, Not Seats.

Agents priced by workflow runs — no config fees, no per-seat licensing.

Free

1 agent · 1 workflow · 1 run/day

Usage ★

~$5

per workflow/month · scales with labor performed

Pro

$1,000

per month · unlimited workflows · multiple daily runs

Aligned with labor replaced — pay only when agents execute real work

Usage-led expansion — workflow → role → team value compounds naturally

Customer Validation

Early Customers Validate the Problem.

"Having an Office Manager Agent handle scheduling and invoicing would save me 10+ hours a week. I just want to focus on teaching Pilates."

Casey — Everybody Pilates Studio

"You are basically replacing outsourcing."

Patrick — Activus Capital (owns & operates 6 businesses)

"Our entire Customer Support team has tons of operations heavy repeatable workflows we could use help with."

Suhas — Pyjama HR

"I love that it learns by observation. I was a teacher — this is how I taught my students. So intuitive."

Liz — Liz Miller Communications