Fodda, Waldo, Springboards — and the Layer No One's Talking About

Perspective — Jul 3, 2026

By Piers Fawkes · Founder, Fodda & PSFK · 5 min read

Application-layer AI tools are booming. But they all draw from the same well. There's a layer underneath that changes everything.

Open any AI tool. Ask it to identify the top trends in your industry. Now imagine your three biggest competitors doing the exact same thing, on the same day, with the same prompt. You'll all walk into the pitch with the same slides.

We have a word for this: trendslop — the generic, homogeneous strategic output that every team gets when they prompt the same LLM with the same web context. It's fluent, it's formatted beautifully, and it tells you absolutely nothing your competitors don't already know.

Trendslop isn't a bug in any particular tool. It's a structural problem. When every AI application draws from the same well — LLM training data and live web search — the outputs converge. The 'top 5 trends' are the same top 5 trends. The competitive analysis is the same competitive analysis. The strategy deck is interchangeable.

The antidote isn't a better prompt. It's a better source.

The Stack Today: Application-Layer Tools Are Booming

There's been an explosion of genuinely useful AI tools for marketers and strategists. Waldo, built by a talented team in New Orleans, is doing smart work in brand monitoring. Springboards (also known as Flint), out of Sydney, offers creative aids for strategic planning. And there are dozens more — ChatGPT wrappers, competitor trackers, brief generators — all adding real value through better UX, smarter prompting, and domain-specific workflows.

These are application-layer tools. They sit on top of LLMs and make them more accessible, more structured, more useful for specific jobs. They're the equivalent of a well-designed kitchen: good tools, good layout, good workflow.

But here's the blind spot: a great kitchen can't fix bad ingredients.

The Missing Layer

Every one of those application-layer tools draws from the same underlying sources: LLM training data (frozen in time, unattributed) and live web search (noisy, unvetted, surface-level). That's why the outputs converge. The application layer is well-served. The data layer is not.

Fodda sits underneath. It is the expert data layer that application-layer tools — and any LLM — should query. Instead of relying on generic model outputs or the unvetted web, Fodda channels 22 years of PSFK insight work into curated knowledge graphs: expert data, industry trends, consulting research, earnings analysis, economic indicators — across hundreds of global sources.

When an AI agent queries Fodda, the answer comes from credited, verifiable expertise — not trendslop. Every data point is attributed to a real source. Every insight is traceable. Your competitors literally cannot pull it from a generic model.

What's in the Layer

Fodda isn't a single database. It's a growing ecosystem of curated knowledge graphs, each structured for AI consumption and attributed to real experts:

• Expert Data — Digital twins of real specialists — 'human agents' whose knowledge is structured and queryable.
• Industry Trends — Curated trend data across retail, beauty, sports, sustainability, and more — updated continuously.
• Consulting Research — Reports from leading consultancies, structured into queryable graphs rather than buried in PDFs.
• Earnings & Financial Analysis — Structured analysis of earnings calls from major global brands — signals, not summaries.
• Economic Indicators — Macro signals — consumer spending, labor data, import/export metrics — woven into strategic context.
• Synthetic CMOs — AI reconstructions of major brand CMOs — grounded in real earnings data, strategy documents, and public filings.

Headless by Design

Fodda doesn't ask you to log into another dashboard. There is no separate UI to learn. It's headless — designed to live inside the tools you already use.

Connection Methods: MCP, API, Claude Tag, Connectors. No dependence on training data or web search. Queries go straight to curated evidence.

Connect Fodda to Claude, Gemini, Copilot, or any agentic system. The knowledge graphs plug directly into your existing workflow — whether that's a strategist working in Claude Desktop or an autonomous agent loop running overnight.

Built for How You Actually Work

AI agents pay per query — machine-to-machine pricing that scales with usage. Human strategists subscribe month to month — no annual lock-in, no enterprise minimums. Whether you're a $500/mo independent strategist or a $50k/yr agency, the data layer is accessible.