How agents squads work

Domain-aligned teams of specialized agents. Persistent memory. Human oversight. Built for transparency and trust.

Three core principles

Every design decision flows from these foundational concepts

Data Organization by Domain

Squads own specific business domains - Research, Engineering, Customer Success, Finance. Each squad has specialized agents with deep expertise in their area. Clear ownership means clear accountability.

  • Research squad monitors markets and competitors
  • Engineering squad builds and maintains systems
  • Customer squad manages leads and support
  • Finance squad tracks revenue and costs

The Learning Loop

Agents build on previous work through persistent memory. Every task completed adds to the knowledge base. Continuous improvement from feedback means agents get better over time.

  • Memory persists across sessions
  • Feedback loops improve accuracy
  • Knowledge accumulates over time
  • Patterns emerge from repeated tasks

Human in the Loop

Humans set direction and goals. Agents execute and report back. When uncertain, agents escalate for guidance. Final decisions remain with humans - always.

  • You define goals and priorities
  • Agents execute routine workflows
  • Escalation on edge cases or uncertainty
  • Approval gates for critical actions

Simple architecture

No complex infrastructure. Just prompts, memory, and execution.

You
Set goals & direction
Research
Monitor & analyze
Engineering
Build & deploy
Customer
Leads & support
Finance
Track & report
Specialized Agents
Execute tasks using tools & memory
Web search Data extraction Analysis Validation
Persistent Memory
Context across sessions
Past results Feedback Patterns
Structured Outputs
Results, reports, recommendations

The workflow

From goal to execution to continuous improvement

1

Define Goals

Set clear objectives for each squad. What outcomes do you need?

Example:
Research squad: Find 20 companies using Snowflake in healthcare
2

Agents Execute

Agents run autonomously, using tools and memory to complete tasks

Example:
Monitor agent searches web, extracts data, validates findings
3

Review Results

Agents deliver structured outputs. You review and provide feedback

Example:
CSV with companies, decision-makers, tech stacks, validation notes
4

Continuous Learning

Feedback improves future executions. Memory accumulates

Example:
Next run uses learned patterns to find better matches faster

What agents can do

From research to execution across all business domains

Research & Intelligence

  • Market monitoring
  • Competitor tracking
  • Lead research
  • Technology discovery

Engineering & Operations

  • Code reviews
  • Deployment automation
  • Documentation generation
  • Testing workflows

Customer & Support

  • Lead qualification
  • Email outreach
  • Support ticket triage
  • Onboarding flows

Finance & Analytics

  • Revenue tracking
  • Expense categorization
  • Report generation
  • Budget monitoring

Built for trust

Every decision is traceable. Every execution is observable. Every agent is accountable. You see what they do, how they do it, and why.

100%
Execution visibility
Full
Source access
Zero
Vendor lock-in
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