31 Unconventional Claude Use Cases You Probably Haven't Tried
From jailbreaking Kindles to hardware hacking and hunting exoplanets, real Claude use cases show how far AI agents can go beyond chat.
What can Claude actually do beyond answering questions?
Claude, Anthropic’s AI model family, is increasingly used as an agent that writes code, controls hardware, and digs through large datasets rather than just answering prompts in a chat window. People have pointed Claude Code (Anthropic’s coding-focused agent tool) at smart TVs, Wi-Fi routers, drones, old iPads, and even car head units, and had it inspect, rebuild, or reprogram them. The common thread: instead of asking Claude to explain something, users ask it to go do something, often with real hardware or real data as the input.
TL;DR
- Hardware tinkering has become a real Claude Code use case, with people de-bloating smart TVs, jailbreaking Kindles, and rebuilding air conditioner interfaces by just describing what they want.
- Security audits are a surprisingly common application, from finding a hidden crypto miner hogging a Mac’s CPU to detecting a backdoor and call recorder inside a Honda Civic’s head unit.
- Scientific research at small scale is already working, including a reported exoplanet candidate found by running scripts against years of NASA telescope data and a new CRISPR-like enzyme surfaced from a DNA database scan.
- Subscription and app replacement is a recurring pattern, with users rebuilding paid apps (budget trackers, baby-tracking tools) themselves once they got tired of paywalls.
- Personal and family projects show up constantly: genealogy research from old birth records, translating a children’s game’s voice lines for a non-English-speaking kid, and 3D room planners to check if furniture will fit.
- Anthropic’s own internal experiments involved giving employees individual Claude agents that autonomously negotiated and closed deals with each other, hinting at agent-to-agent commerce as a near-term pattern.
- A medical case involving a woman with stage 4 breast cancer who coordinated roughly 30 Claude agents to help build a research and biopsy plan shows the technology being applied to serious personal health research, not just hobby projects.
- Patient records✓ Granted
- Surgery schedule✓ Granted
- Billing export✕ Denied
How are people using Claude for hardware hacking?
The clearest pattern across these examples is treating Claude Code as a general-purpose hardware engineer. One user fed Claude a store listing for a television loaded with ads and bloatware and asked it to strip the junk out; Claude rebuilt the TV’s software from scratch, leaving a clean screen saver with calendar and weather widgets. The idea spread, with someone else doing the same thing for their parents’ TV.
Other examples follow the same shape:
- A Kindle got jailbroken and stripped of Amazon’s interface, then turned into a home dashboard.
- An old iPad, too outdated to run current apps, became a dedicated smart-home control panel.
- A used BlackBerry was reverse engineered into a pocket terminal running Claude Code with a physical keyboard.
- A spare phone was mounted on a DJI drone and turned into an offline home security system tied into an alarm, with no cloud dependency.
- Someone even designed a dictation microphone from scratch, with Claude picking components, designing the circuit, writing firmware, and producing a 3D-printable case.
None of this requires custom model access. It requires giving Claude context (a photo, a part number, a store listing) and asking it to reason through the engineering problem the way a hobbyist would, just faster.
Can Claude find security problems most people would miss?
Yes, and several examples are essentially amateur security audits. One person noticed their Mac was running unusually hot, asked Claude to build a simple temperature monitor, and found all 12 CPU cores pegged by a crypto miner they didn’t know was installed. Another connected Claude Code to a Honda Civic’s infotainment head unit and had it flag a voice assistant that was always listening, a call recorder running over Bluetooth, and what looked like a vendor backdoor.
A related use case: sweeping hotel rooms and Airbnbs for hidden cameras and trackers. Claude checked for Wi-Fi-connected cameras, scanned for spyware on a phone, and looked at nearby Bluetooth devices to flag anything suspicious. None of this is foolproof security auditing, but it shows non-experts using an AI agent to ask pointed, specific questions about devices they don’t fully trust.
What research-scale applications have people tried?
This is where the examples get more ambitious. One user had Claude write roughly 1,500 scripts to search seven years of NASA telescope data, and the process surfaced a planet candidate that hadn’t been previously flagged. Someone else repeated the approach the next day and reportedly found two more. The underlying point isn’t that Claude “discovered” a planet unsupervised, it’s that enormous public datasets sit underexplored simply because there aren’t enough human hours to comb through them.
Nothing gets lost.
Anthropic has reportedly run a similar exercise internally, pointing around 1,000 Claude agents at a large DNA database, which led to identifying a new enzyme with similarities to CRISPR, the gene-editing tool. If that holds up under further research, it points toward a pattern where large numbers of agents doing narrow, repetitive analysis work can surface genuinely novel findings in biology, not just summarize existing papers.
A more personal version of this showed up with a 35-year-old software engineer named Miriam, who was diagnosed with stage 4 breast cancer and a rare tumor. She reportedly coordinated around 30 Claude agents to research her condition, which contributed to a biopsy plan that a lab at Dana-Farber Cancer Institute reviewed and refined. Anthropic later provided her with Claude credits to continue the work. This doesn’t mean Claude cured anything, it means a motivated patient used agentic research tools to move faster through a space usually gated by specialist time.
Is Claude being used to replace paid software and subscriptions?
This is one of the more immediately practical patterns. Entrepreneur Peter Levels (known for building lean, solo software products) reportedly used Claude to build replacements for several subscription apps he was paying for, cutting his recurring bills down to a handful once utilities and taxes were separated out. Others did the same for narrower complaints: one person rebuilt a baby-tracking app from scratch after the one they used started charging a fee with no free tier, then made it free for others.
The logic is straightforward. If an app’s core function is simple (tracking a baby’s feeding schedule, managing a list of subscriptions), rebuilding it with an AI coding agent can be cheaper and faster than continuing to pay indefinitely, especially for narrow tools that don’t need large engineering teams to maintain.
What are the more personal and unexpected use cases?
Several examples show Claude used for small, specific, very human problems:
- A parent translated a children’s video game into French for their 4-year-old by having Claude extract the game’s voice lines, translate them, and re-voice them with free local voice models.
- A 9-year-old built their own personal website by talking directly to Claude Code.
- A couple used Claude to build a 3D walkthrough of their daughter’s bedroom to check whether a new bed would fit, based on room measurements and photos.
- Someone in the Czech Republic handed Claude an old birth record and asked it to trace their family tree, uncovering five generations of previously unknown genealogy.
- A drone enthusiast built a flight simulator with Claude so they could practice drone handling before risking an actual device, aiming for realistic simulated flight time before ever touching a real controller.
- Someone condensed roughly 40 hours of podcast interviews with developers about how they got hired into a short, dense “playbook,” compressing scattered advice into something far more usable.
Anthropic also ran an internal experiment giving 69 employees individual Claude agents and letting those agents negotiate and trade with each other autonomously. The agents reportedly closed close to 200 deals without human intervention, and agents built on stronger models negotiated better prices than agents on weaker models, which sometimes didn’t notice they were being outmaneuvered. It’s a small-scale preview of AI agents transacting with each other on behalf of their users.
Is it worth experimenting with Claude this way?
Remy.
If you already pay for Claude or Claude Code, these examples suggest the biggest gain isn’t a smarter model, it’s pointing the existing one at problems you’d normally never think to automate: a slow router, an old gadget gathering dust, a dataset nobody’s opened in years. Most of these projects didn’t require deep technical expertise from the user, just a clear description of the outcome they wanted and a willingness to hand Claude real access (a device, a photo, a file) instead of just asking it questions in the abstract.
Frequently Asked Questions
What is Claude Code and how is it different from regular Claude?
Claude Code is Anthropic’s agentic coding tool, built to write, run, and iterate on code directly rather than just producing snippets in a chat reply. Many of the hardware and automation examples above rely on Claude Code’s ability to interact with real systems and files, not just generate text.
Do you need to be a programmer to try these use cases?
Not necessarily. Several examples, like the 9-year-old building a website or the genealogy search from a birth record, involved users describing what they wanted in plain language rather than writing code themselves. More hardware-heavy projects (firmware, circuit design) benefit from some technical comfort, but Claude handled much of the detailed engineering work.
Are the research claims, like finding a planet or a new enzyme, scientifically verified?
These are described as candidate findings surfaced by AI-assisted analysis of large datasets (NASA telescope data and a DNA database), not confirmed, peer-reviewed discoveries. They illustrate that AI agents can surface leads in massive datasets that humans haven’t had time to fully explore, which still requires follow-up verification by domain experts.
Is it safe to give Claude access to things like my car, router, or phone?
These use cases show Claude being used to inspect devices for security issues (like the crypto miner and the car head unit backdoor), which can be genuinely useful. But giving any AI agent direct access to hardware or networks carries risk, and users should understand what permissions and data access they’re granting before doing so.
What does the Anthropic employee negotiation experiment tell us about AI agents?
It suggests that autonomous agents acting on individuals’ behalf can transact with each other without constant human oversight, and that the underlying model’s capability affects negotiation outcomes. It’s an early, small-scale example of agent-to-agent commerce rather than a widely deployed product.
