About Us

The Independent Voice
in AI Agent Evaluation

AI Agent Square was built for IT leaders and procurement teams who need clear, unbiased intelligence — not vendor marketing. We test, score, and compare the world's leading AI agents so you don't have to.

Our Mission

Cutting Through the Hype to Deliver Clarity

The AI agent market has exploded. Every week brings new tools promising to transform how your team works. But most reviews are shallow, vendor-funded, or written by people who have never had to justify the spend on a real budget.

AI Agent Square was founded on a different premise: buyers deserve evaluations written by people who actually run businesses on these tools. We dig into pricing models, integration complexity, real-world performance, and total cost of ownership — not just feature checklists.

The site is written by its two co-founders, Fredrik Filipsson and Morten Andersen — operators who adopted AI agents early to run their own businesses. We test each tool hands-on, document what we find, and update reviews as products and pricing change.

We earn no commissions on anything we link to, run no ads, and our scores are never influenced by commercial relationships. No vendor can pay to improve a rating.

What We Stand For

Four Principles Behind Every Review

01

Editorial Independence

No vendor pays to influence our ratings. Every score — from features to pricing to ease of use — is set by our editorial team based solely on our findings. Sponsored placements are always clearly labeled and never affect review content.

02

Buyer-First Perspective

We write for IT directors, procurement leads, and CTOs — not developers chasing new toys. Our reviews focus on total cost of ownership, security posture, enterprise support, and implementation complexity: the things that determine whether a deployment succeeds or fails.

03

Transparent Methodology

Every review follows the same six-dimension scoring framework: Features, Pricing, Ease of Use, Support, Integration, and Overall Value. You can read our full methodology, understand how we weight each dimension, and challenge our conclusions.

04

Continuous Updates

AI agents ship updates rapidly. A review written six months ago may no longer reflect reality. We revisit our top-reviewed agents quarterly, flag major pricing or feature changes as they happen, and mark review dates prominently on every page.

Our Process

How We Evaluate AI Agents

01

Hands-On Testing in Real Scenarios

We don't review demos. Every agent is tested against a consistent battery of real use cases — coding tasks, customer query resolution, data analysis, document drafting, and integration checks — drawn from the way businesses actually use these tools day to day.

02

Verified Pricing Research

Pricing pages change constantly. We verify pricing directly with vendor sales teams, cross-reference with recent public announcements, and note any discrepancies between advertised and actual enterprise pricing. We always state the date pricing was last confirmed.

03

Integration and Security Audit

We map out each agent's integration ecosystem — native connectors, API availability, SSO support, data residency options, and compliance certifications. Enterprise buyers tell us this is consistently the most underreported aspect of AI agent reviews.

04

Real-World Use, Not Just a Test Bench

As operators, we run many of these tools in our own businesses — for support, content, sales follow-up, and operations. That day-to-day use is where the questions buyers actually care about get answered: What broke? What surprised us? Would we keep paying for it?

05

Scored Against Six Dimensions

Every agent receives a structured score across Features, Pricing, Ease of Use, Support Quality, Integration Depth, and Overall Value. Scores are calibrated against the full population of reviewed agents, not against an abstract ideal. A 9/10 means genuinely exceptional relative to the market.

Read Full Methodology

Co-Founders

The people behind AI Agent Square

AI Agent Square is co-founded by Fredrik Filipsson and Morten Andersen — entrepreneurs and operators who built and ran multiple businesses and adopted AI agents early to run them. Every major review on this site carries one of their names. The site is operated by Kings Hospitality LLC, Fort Lauderdale, Florida.

Fredrik Filipsson, Co-Founder of AI Agent Square

Fredrik Filipsson

Co-Founder

Entrepreneur and operator behind Kings Hospitality and other businesses. An early AI adopter who reviews productivity, coding, and support agents the way a buyer does — with a budget and a P&L on the line. Based in Fort Lauderdale.

LinkedIn · Author profile

Morten Andersen, Co-Founder of AI Agent Square

Morten Andersen

Co-Founder

Entrepreneur and operator who has run multiple businesses on AI tools. Covers the operational side of AI agent adoption: rollout, usage-based pricing creep, integration depth, support reality, and what a tool really costs to keep in production.

LinkedIn · Author profile

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