Multi-Agent Workflows
Your AI executive assistant
coordinates specialized agents
Alyna spins up multiple AI agents that work together - research agent finds data, analysis agent synthesizes insights, drafting agent writes the brief. You review and approve. Tasks that take 6-8 hours → done in 15 minutes.
Specialized Agents
Each agent has one specialty - research, analysis, or drafting. They spin up automatically when you make a complex request.
Multi-Agent Orchestration
Coordinate multiple agents across workflows using memory, context, and conditional logic. All working in parallel.
Research Agent
Browsing 100+ websites for VC data
Analysis Agent
Ranking by portfolio fit
Parallel Execution
Agents work simultaneously. Research, analysis, and drafting happen in parallel - not sequentially.
Human-in-the-Loop
Add reviews, approvals, and escalations at any step without slowing the workflow.
Learns Your Style
Alyna remembers your preferences, communication style, and priorities. Gets better with every interaction.
Audit Trail
Every agent action is logged with full input-output visibility. See exactly what each agent researched, analyzed, and drafted - with timestamps.
Agent Activity
Research Agent
DONE
Scraped 20 VC firm websites for funding data
Analysis Agent
DONE
Ranked VCs by portfolio fit - 87% match rate
Drafting Agent
PROCESSING
Generated 20 personalized outreach emails
Approval Queue
PENDING
Awaiting your review - 20 emails queued
Email Scheduler
WAITING
Ready to schedule follow-up calls after approval
Approval Queue
Review, edit, approve, or reject agent outputs before anything is sent. Alyna learns from your edits to improve future drafts.
Pending Review
20 personalized outreach emails ready for your review. Each email includes context from research and analysis agents.
The problem
Why single-agent AI falls short for complex tasks
ChatGPT, Claude, and other AI assistants can only do one thing at a time. For research that requires multiple steps and synthesis, you end up doing most of the work yourself.
You do the synthesis
AI gives you raw research. You pull together findings from multiple sources, structure the data, and write the brief yourself. 4-5 hours of manual work.
Sequential, not parallel
Single AI can't do research AND analysis AND drafting at the same time. You're stuck waiting for each step to finish before moving to the next.
Generic, not specialized
One AI trying to do everything means mediocre results. A specialized research agent that focuses on data gathering finds 10x better information.
Real scenarios
How executives use multi-agent workflows
Real tasks that take 5-8 hours manually - done in 10-20 minutes with coordinated AI agents. Here's what that looks like.
VC Outreach Campaign
"Research top 20 VC firms in climate tech, draft personalized outreach mentioning their latest funding rounds, and schedule follow-up calls."
Competitive Intelligence
"Research our top 5 competitors' new feature launches this month, analyze positioning, draft response strategy."
Market Research Brief
"Find latest M&A activity in fintech, Series B+ deals, with implications for our strategy."
Benefits
Why multi-agent workflows are 10x more powerful
Competitors are single-agent systems. Alyna coordinates multiple specialized agents for complex workflows - research, analysis, and drafting happen in parallel, not sequentially.
10x faster execution
Agents work in parallel. Tasks that take 6-8 hours manually are done in 15-20 minutes.
Higher quality output
Each agent specializes in one thing. Research agent finds better data. Analysis agent spots patterns.
Always in control
Agents do the work, you review and approve. Edit drafts, reject research. Full audit trail.
Learns your style
Alyna remembers your preferences, communication style, and priorities. Gets better over time.
An AI executive assistant you can call, message, or ping - across Slack/Teams, email, calendar, WhatsApp, and voice.
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