Complex research made simple

Hi ,

Airtable just launched Superagent.

It's their first new product in 13 years.

You ask one question. Superagent deploys multiple AI agents working in parallel. Each handles a different part of the research.

Airtable was worth $11.7 billion in 2021. Now it trades at $4 billion. CEO Howie Liu says Superagent could become bigger than Airtable itself.

A mature company betting its future on multi-agent AI.

But first, today's ADHD-focused prompts and community wins (then see what Superagent means for AI agents...)

🔥 Prompt of the Day 🔥

The Chaos to SOP Converter: Use ChatGPT or Claude

Act as an expert Process Engineer and Operations Manager.

I have a rough idea for a new process, but my thoughts are currently unstructured. My team needs this as a step-by-step Standard Operating Procedure.

Essential Details:

• Raw Input: [BRAIN DUMP OR TRANSCRIPT]

• Process Type: [WHAT THIS PROCESS DOES]

• Team Size: [HOW MANY PEOPLE]

• Current State: [SCATTERED/UNORGANIZED]

• Urgency Level: [HOW SOON NEEDED]

• Complexity: [SIMPLE/MEDIUM/COMPLEX]

Create one SOP including:

• Goal statement (what this achieves)

• Necessary tools (what's required)

• Numbered execution steps (clear sequence)

• Missing logic gaps (what needs filling)

• Decision points (where choices happen)

• Quality checks (how to verify success)

Turn brain dumps into team-ready procedures.

🏆 Win Wednesday 🏆

This week's wins come from the community.

Nala Snow used Viral Post GPT and saw engagement jump immediately.

Her words: "After using your Viral Post GPT, I am getting way more engagement! Thank you for the GEMS as always."

Why this matters:

Most people treat AI writing tools as content generators. Type prompt. Get post. Publish.

Nala used it strategically. She applied the framework to understand what drives engagement, not just to generate content.

The result: More eyes on her posts. More comments. More reach.

This is what practical AI use looks like. Not replacing your voice. Amplifying what already works.

Nick Stone is building a complete Facebook profile system.

His approach: Create a guide for personal FB profiles. Develop a questionnaire and Custom GPT to draft profiles. Build a follow-up Custom GPT for nano banana scripts for banners. Then move the entire workflow to Manus.

Why this matters:

Nick isn't just using one AI tool for one task. He's building a complete system.

Step 1: Guide creation (understanding the framework)

Step 2: Questionnaire + Custom GPT (gathering inputs)

Step 3: Profile drafting (execution)

Step 4: Banner scripting (visual completion)

Step 5: Manus migration (scaling the system)

This is systems thinking applied to AI. Not one-off outputs. Repeatable workflows.

He's offering to let people try it out. That's confidence in what he built.

What's your win this week?

Used AI to solve a real problem? Built something that actually works?

Reply and share how you used AI to get something done.

Did You Know?

Restaurants use AI that can predict food poisoning by analyzing how long customers look at menu items, as people unconsciously avoid foods that previously made them sick.

🗞️ Breaking AI News 🗞️

Airtable Launches Superagent for Multi-Agent Coordination

Airtable announced Superagent, an AI agent system that deploys multiple specialists to handle complex research and analysis tasks.

This is Airtable's first standalone product in its 13-year history.

What Changed

Superagent uses multi-agent coordination instead of single-agent sequential processing.

You ask one question. The system builds a research plan, deploys specialized agents working in parallel, then synthesizes everything into an interactive deliverable.

Example from CEO Howie Liu: Ask about expanding your athleisure brand into Europe.

Superagent identifies what needs investigation and surfaces dimensions you didn't think to ask about.

Then it deploys specialized agents simultaneously:

Agent 1: Investigates financials

Agent 2: Analyzes competitive positioning

Agent 3: Reviews management and news

Agent 4: Maps demographics

Agent 5: Creates expansion timelines

The output isn't text. It's an interactive market analysis with demographic breakdowns, competitive presence mapped visually, and expansion timelines you can filter and explore.

How It Works

Liu draws a distinction between "real agents" and what he calls "LLM powered workflows."

Most so-called agents, he argues, are predetermined steps with AI calls mixed in. They can't course-correct or backtrack.

Superagent is designed as a true autonomous agent that adapts its approach based on what it finds.

The system pulls from premium data sources: FactSet, Crunchbase, SEC filings, earnings transcripts.

Liu name-checks only two other products with "a true, generally capable, long-running and really smart agent architecture": Anthropic's Claude and Manus (being acquired by Meta).

Real Use Cases

Evaluate Google as a three-year investment opportunity: Get structured assessment with citations to earnings calls, defensibility analysis against OpenAI and Anthropic, and risk factors you hadn't considered.

Brief on Wells Fargo's AI strategy before pitching them: Get their regulatory posture, recent AI investments, and specific pain points your product addresses.

Research competitive landscape for market entry: Get financial comparisons, positioning analysis, and entry strategy recommendations with supporting data.

The Strategic Context

Airtable's valuation collapsed from $11.7 billion in 2021 to roughly $4 billion on secondary markets today.

But Liu says the company still has $700 million in cash from $1.4 billion total raised while "throwing off cash."

The valuation hit affected investor returns and employee stock options but didn't undermine the business itself.

Airtable serves over 500,000 organizations including 80% of the Fortune 100. The company employs more than 700 people.

Last fall, Airtable hired David Azose, formerly the engineering lead for ChatGPT's business products at OpenAI, as CTO.

At the same time, it acquired DeepSky (formerly Gradient), an AI agent startup that raised $40 million.

Superagent will operate semi-independently from Airtable, led by DeepSky's founding team.

The Pricing

Pricing follows the emerging AI products playbook:

$20 per month per user at entry tier Up to $200 for power users Generous inference credits included

Why This Matters

This is the first major company to launch a standalone AI agent product while running a mature business.

Most agent launches come from AI-first startups or bolt-on features from established platforms.

Airtable is betting that multi-agent coordination represents a fundamentally different architecture than single-agent or workflow automation.

Liu isn't ruling out that Superagent could become bigger than Airtable itself.

He says Airtable "will probably be larger for at least the near term than any new products that we do, including Superagent. But I also like being able to bet on Superagent. Optionality is a good thing."

The Competition

Every serious software player is racing to prove they can deliver on agents.

OpenAI kicked off 2025 launching agent-building tools.

Notion, Harvey, and hundreds of other companies added agent functionality since.

The distinctions Liu draws between "real agents" and the rest may not matter to customers if competitors deliver adequate results faster and cheaper.

What This Means

If you're using AI for research or analysis, expect multi-agent systems to become the standard approach.

If you're building AI products, single-agent sequential processing is already being positioned as outdated.

If you're evaluating AI tools, the question shifts from "does it use AI" to "does it coordinate multiple specialists or run one agent sequentially."

Superagent represents Liu's version of "wartime leadership"—his term for moving fast to adapt rather than protecting the present.

For a CEO whose company lost $7.7 billion in paper valuation while retaining most of its capital, the move shows willingness to bet on the future.

Over to You...

What business decision would you make differently if you had Superagent's multi-agent research tonight?

Reply with what you'd investigate first.

To AI-powered strategy,

Jeff J. Hunter 
Founder, AI Persona Method | TheTip.ai

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