Show Notes
Your website is lying to you. Right now, while you read this, visitors are hitting a broken form, bailing on a checkout button they can barely see, and bouncing off a page designed for someone else entirely. Eric Schneider built a company to catch every single one of those moments, and he built it without a dollar of venture capital.
Funding stage: Bootstrapped. Eric raised for previous companies but deliberately walked away from a Cora raise, choosing to fund through sales and consulting until the ICP and repeatable sales motion are locked.
Eric is the co-founder of Cora, a website optimization and monitoring platform that tracks every button, form field, and component on your site, learns how real humans (and bots) actually behave, then rewrites the experience to convert them. One early customer added $20K per week in revenue, a figure Eric shares on air. Cora's bigger bet, full adaptation, reshapes the entire visual site per visitor persona, and Eric says his statistical models point to a 24X lift on yearly revenue, converting 75 to 85% of visitors instead of the classic 3%. These are Cora's own numbers, and they are audacious on purpose.
But the product is only half the episode. Eric is one of the most distinctive builders in the Denver AI scene, a fine arts grad turned interaction designer turned bootstrapped founder who writes his product requirements documents from his shower, phone in one hand, coffee somewhere nearby, kids ages two and four safely on the other side of the door. He ships edgy demos weekly, open sources his utilities, controls Claude with tonal frequencies for fun, and still insists the most important product skill in the AI era is saying no.
The conversation runs from the early days of the AI Clubhouse meetup (ten people and warm PBR) to a group now drawing 100 to 150 attendees a week, from AI on college campuses to humanoid robots doing blue collar jobs within three years, per a founder friend of Eric's. And it lands on the take that gives this episode its spine: stop training AI to act human. Make AI more AI. Make robots more robot.
Frameworks from This Episode
The Shower PRD Method
Eric's method for separating thinking from tooling before a single prompt gets typed.
- ›Do the thinking before the tools: draft the PRD in a distraction-free space, even a phone in the shower.
- ›Keep code out of the PRD entirely; let the coding agent make implementation decisions.
- ›Front-load clarity so building becomes "grip it and rip it" instead of bit-banging.
Brief → Epics → Milestones → Tasks
Eric's cascade for turning a rough idea into agent-ready, hallucination-checked work.
- ›Start with a brief: data structures, golden pathways, MVP definition, need-to-have versus nice-to-have.
- ›Hand the brief to a product manager agent and a project manager agent (Eric uses the Agency Agents GitHub repo).
- ›Lock epics and milestones first, review for hallucinations, then generate tasks.
- ›Cap every task at 300 lines or less to avoid God files: more tasks, fewer bugs, modular components.
The Four Tires Test
Eric's filter for cutting a roadmap down to what a car actually needs to move.
- ›A car needs four tires and a platform to get from A to B, not an engine, doors, and a sunroof.
- ›Audit your roadmap like a cartoon character emptying a packed closet: don't need that, don't need this.
- ›The question is no longer "what should I build," it's "what should I not be building."
Buy, Borrow, Then Build
The sequencing Eric uses to avoid rebuilding infrastructure that already exists.
- ›Identify the big thing that could block your MVP and ask if it's critical to own.
- ›Use open source cores and existing APIs (Eric's team runs a self-hosted open source CRM with MCP built in) instead of reinventing wheels.
- ›Get revenue first, then decide whether to rip and replace.
Make AI More AI
The contrarian principle that gives the episode its title and its argument against humanizing AI.
- ›Stop optimizing tools and robots to mimic humans; humanlike is not the same as useful.
- ›The creepiness of humanoid robots is a design failure, not an intelligence failure.
- ›Ask what your tool would do if freed from human imitation.
Founder Experiment
The Closet Purge
Open your product roadmap and list every feature currently planned or in progress. For each one, ask two questions: does this sit on the golden pathway to revenue, and is it need-to-have or nice-to-have? Kill or park everything that fails both tests. Then write a PRD for your single most critical remaining feature with zero code blocks, broken into epics, milestones, and tasks capped at 300 lines each. Ship only that. Report back to yourself in two weeks on what the side quests were actually costing you.
Key Terms
Tools from This Episode
Cora
AI website optimization and monitoring platform that tracks every button, form, and component on your site, learns how real visitors and bots behave, then rewrites the experience to convert them — full adaptation mode reshapes the entire site per visitor persona.
Q&A
Who is Eric Schneider?
Eric Schneider is the co-founder of Cora (getcora.io), a bootstrapped AI website optimization platform, and a fixture of Denver's AI builder community known for hosting the AI Clubhouse meetup, shipping weekly experimental demos, and open sourcing his tools.
What is Cora (getcora.io)?
Cora is an AI website optimization and monitoring platform that tracks every component on a site, identifies personas from behavior, spots bugs and friction, and delivers code fixes. Its full adaptation mode changes the site's look per visitor persona to maximize conversion.
How do you write a PRD for AI coding agents?
Start with a brief covering data structures, golden pathways, MVP scope, and need-to-haves. Keep code out of the PRD. Use agents to break it into epics, milestones, and tasks capped at 300 lines each.
Should founders raise venture capital or bootstrap in 2026?
Eric Schneider argues that AI has removed the classic reason to raise (hiring engineers to build), so bootstrapping to a repeatable sales motion earns a better valuation later.
Why is "make AI more human" bad advice?
Humanlike design adds polish without utility and triggers the uncanny valley in robotics. Tools work better when allowed to be exactly what they are.
How much website traffic converts on average?
A classic benchmark is around 3%. Cora claims its persona adaptation approach can convert 75 to 85% of visitors, a self-reported figure from this episode.
Should you block bots on your e-commerce site?
Eric argues bots are good. Bot traffic reveals which products competitors and price scrapers care about, which is a signal to price aggressively or offer free shipping on those items.
Links from This Episode
- Corahttps://getcora.io
- AI for Foundershttps://aiforfounders.co
