A Case Against Agreeable AI: Positioning a Challenger LLM
TIMELINE
1 Week Sprint
ROLE
Strategist
Context
Speculative brand strategy work completed as part of an internship application assignment. The brief asks to position a hypothetical LLM against OpenAI and Claude: naming the product, identifying the audience, identifying the whitespace, and writing a full strategic narrative using the 4Cs framework.
Understanding the Problem
The AI chatbot market is a two-player race. OpenAI's ChatGPT commands about 1.2 billion monthly active users. Claude sits at roughly 19 million. This scale difference makes direct comparison misleading. But MAU figures alone hide a more interesting tension. Anthropic began as a safety-focused spinout from OpenAI, but has since walked back its responsible scaling commitments under competitive pressure. OpenAI has made executive appointments meant to signal a pledge to AI civility. Yet internal moves remain focused on prioritizing growth. Both companies are managing the same contradiction: they're aware their products disrupt end-user trust, but can't act on it without threatening their business models.
Both brands' positioning reflects this challenge. OpenAI aspires to "benefit everyone," and Anthropic markets Claude as a "space to think." Although their identities differ, both communicate in a similar aspirational, pleasant tone—neither challenges users.
Merriam-Webster named "slop" its word of the year -- in AI terms, hallucinated or low-quality outputs. ChatGPT's responses are becoming recognizable in ways that weaken their authority. But slop is evolving as a concept. The risk isn't just hallucination -- it's the identifiable cadence of an AI trained to please. Agreeableness itself is becoming slop, and neither incumbent can shed it without alienating the user base on whose revenue it depends.
White Space Identification
OpenAI owns the mass market. Anthropic is carving out a professional-targeted section. The whitespace emerges from a cultural desire to shift away from these companies' brand and product voices. Neither incumbent serves users looking for articulated pushback. No tool fully disagrees or pushes the user to dig and connect across disciplines.
Both OpenAI and Anthropic, while capable, are sycophantic models that prioritize approval over concrete facts. Cultural awareness of AI sycophancy is accelerating, and once users identify this pattern, approval-driven outputs will no longer feel helpful. This newly defined space capitalizes on people's concerns about AI in daily life, specifically cognitive atrophy and a lack of agency.
The structural vulnerability isn't a product gap -- it's a business model constraint. OpenAI and Anthropic's current business models require the models to affirm the user. Their scale necessitates broad appeal and agreeableness that flatter the user. The incumbents can't go where this proposes to go -- not because they lack the capability, but because the incentive structure won't allow it.
The opportunity is not a platform t is methodically articulated. A specialty in complex problem solving framed as framework-driven thinking, designed to push users to iterate and expand their intellectual capabilities. Candor—structurally—is available only to a model that doesn't need everyone to like it.
Naming & Brand Positioning
For those who see frictionless AI answers as a ceiling, Excolam cultivates intellectual rigor through cross-disciplinary exploration and deliberate pushback, unifying its model, company culture, and brand voice around a candor that incumbents have structurally abandoned. This new LLM's name comes from the future tense, first-person form of the Latin word excolere, which means to cultivate, improve, develop, and honor. Excolam’s name anchors the brand, product, and company ethos. ‘I will cultivate’ sets a first-person expectation that the model is invested in the user's growth, rather than satisfaction.
Paired with its specialty in complex problem-solving, Excolam LLM offers “Socratic tools” that enable users to raise counterarguments, apply cross-disciplinary lenses, and draw on cultural reference points. Further, the chatbot outputs and brand both look for an underlying ‘so what’ factor. Unlike the industry titans, Excolam’s model acknowledges a subjective query rather than making an objective claim. Excolam problem solving relies on cross-disciplinary exploration and framework expansion. Over time, Excolam’s product expands to map users’ intellectual patterns, surfacing connections across disciplines that they may miss on their own. For example, when a user is digging into behavioral economics, Excolam surfaces a connection to their coursework in environmental law, pulling an unseen thread of commonality. The iterative process, at its core, pushes users to develop the ability to articulate themselves rather than just regurgitate. The products specially trained candor expands into its business model.
Excolam’s company culture mirrors its product, investing in employees who are also uncomfortable with shallow answers. Where competitors have hollowed out their safety and ethics teams to accelerate growth, Excolam invests in those who prioritize protecting user curiosity and autonomy. Teams are built across disciplines so that problems are approached from multiple lenses. As the model develops its users, the company improves alongside them, measuring progress by how users' thought processes improve. Excolam will hold its value of honor by disclosing limitations rather than burying them in documentation. Excolam refuses to shed the voices pushing for restraint and to maintain integrity. In turn, the brand, model, and company mission are one and the same.
At launch, Excolam targets and appeals to an audience of skeptical AI users who seek better arguments and cross-disciplinary insight rather than comfort or speed. These individuals have recognized the intellectual cost of frictionless answers. A larger opportunity sits with people who have tended to avoid AI entirely because they see it as a threat to independent thinking. For them, Excolam is not a chatbot but a new entry point, defined by its refusal to flatter, and pulls them to a category they dismissed. This logic extends to education, where Excolam’s Socratic toolset develops students' reasoning rather than replacing it, providing institutions with a reason to adopt AI rather than fear it.
Where OpenAI builds answer engines and Anthropic tools for productive professionals, Excolam will function as a cognitive challenge. Excolam owns candor, a position these competitors cannot occupy, as business models depend on wide appeal and agreeableness to their users. Excolam’s consistency across product voice, company ethos, and innovation strategy only expands this gap.