Explore Problems

A customer's written-confirmed extended-warranty cancellation refund was never paid despite five months of repeated follow-up across multiple escalated cases, and CarMax's automated system eventually closed the case as resolved with no refund and no explanation. This reveals a breakdown between confirmed cancellation commitments and actual refund execution.

A buyer who lawfully rejected a delivered vehicle for failing state safety inspection could not get Carvana to confirm a shipping-fee refund before the car was picked back up. The dispute highlights ambiguity in online car retailers' policies for reversing fees on rejected deliveries.

A buyer reports that Carvana's advertised 150-point inspection failed to catch rusted, worn rear brake calipers, rotors, and pads that a dealership confirmed predated the purchase, and support communication went silent once the buyer pointed out the inspection gap.

A Carvana buyer received a vehicle with brake failure and check-engine warnings within minutes of driving, on top of delivery delays, cosmetic damage, and improper repairs, and could not find shops willing to service the car. This highlights inspection and post-sale support gaps in online used-car retail.

As AI-generated images, video, audio, and documents proliferate, people investigating authenticity often only get an opaque single score with no explanation of what evidence it's based on. A workspace that separates model signals, file metadata, and content-credential data into an inspectable evidence trail addresses that transparency gap, without claiming to prove authorship or intent.

Parents currently must either ban AI tools outright or let children use them without guidance, with no structured middle path. This creates a gap for a mastery-based way to teach kids (5+) how AI works and how to use it safely, while keeping parents in control.

A customer's order for two items was never delivered because it was returned to the merchant mid-shipment, yet no refund was issued automatically and the customer had to request one directly. This points to a gap in retailer fulfillment systems where a shipment's return-to-sender status does not reliably trigger a refund, leaving customers to chase money back themselves.

A customer waited over two months for a $70 refund on a returned item, with each customer service contact redirecting them back to an unhelpful virtual assistant instead of resolving the case or explaining the delay.

A user reports an ongoing flood of spam content shared into their Google Drive, with new spam continuing to arrive as fast as they block senders. This points to a gap in how cloud file-sharing platforms filter unwanted or malicious shared content compared to mature email spam defenses.

A policyholder filed an extended-warranty claim on a broken appliance and, after repair costs exceeded the item cost, was promised a replacement or refund but has called weekly for two months without resolution or a way to escalate beyond a single overseas support line. This highlights a structural lack of accountability and escalation options in third-party warranty claim handling, which disproportionately burdens elderly or less-mobile customers.

A Carvana buyer received a Mercedes listed with only minor cosmetic issues but found a torn seat, a hard-to-open door, an engine ticking noise, a seatbelt that unbuckles on its own, and steering wheel noise. Calling within the stated 7-day return period led to worse financing terms rather than a clean resolution, leaving the buyer financially penalized for a vehicle the company itself misrepresented.

A Carvana buyers newly purchased Jeep developed mechanical problems within days and has spent most of the ownership period in a repair shop because the extended-warranty providers claim could not be authorized. The buyer is left coordinating between the repair facility, the warranty company, and Carvana with no single party taking ownership, while also stuck with a non-functional replacement key that no participating location can service.

Indie SaaS founders using 24-hour launch-leaderboard platforms get a one-day traffic spike with high bounce rates while their highest-intent signups actually arrive days 3 through 6, after the leaderboard mechanic has already decayed. Compounding this, JS-heavy landing pages are poorly indexed by the AI search engines increasingly driving niche software discovery.

Used-car dealers and marketplaces need professional, consistent vehicle photos for online listings but often lack access to a physical photo studio, leading to inconsistent backdrops and quality across inventory.

HubSpot regularly moves features, buttons and links without clear notice. Teams must rewrite internal training and how-to screenshots, causing friction with users and recurring maintenance cost.

Long chat sessions grow until the context window collapses, forcing users to re-paste prior context. Full-session replay causes token bloat and signal dilution as models re-summarize their own output, so hard-won insights are lost.

Engineering teams rely on code review tools that only flag issues within individual pull requests, leaving systemic architectural and code-quality problems across the broader codebase undetected and unaddressed. Teams lack a way to proactively surface and prioritize improvement opportunities spanning their entire codebase rather than just the current diff.

Developers using AI coding assistants report having too many ideas to organize rather than too few, and lose track of their plan once implementation starts because planning happens outside the coding environment. Unresolved gaps discovered mid-build often cause the project to be abandoned entirely.

California homeowners building accessory dwelling units receive contractor bids in inconsistent formats, making it hard to compare pricing and scope line by line. Without a structured way to normalize bids, homeowners risk overpaying or missing scope gaps.

As AI support handles routine tickets, human agents are increasingly left with only the hardest cases -- angry customers, billing exceptions, and conversations where a bot already frustrated the customer -- while deflection dashboards look better even as agent workload quality worsens. There is no visibility into what context was lost, what the AI promised that a human now has to make good on, or whether customers had to repeat themselves.