Examples
Real outputs from all 7 models. Every model is fine-tuned for its task — not a base model with a prompt.
Write a viral tweet about AI agents managing DeFi portfolios.
your portfolio manager doesn’t sleep, doesn’t eat, doesn’t panic sell at 3am it just rebalances, harvests yield, and compounds the best fund managers of 2026 won’t have linkedin profiles
Write a product launch email subject line and opening paragraph for a new cross-chain bridge.
Subject: Your assets are stuck on the wrong chain. We fixed that. You’ve been bridging the hard way — waiting 20 minutes, paying $15 in fees, and praying nothing gets stuck in limbo. ArcBridge routes your transfer across 12 chains in under 8 seconds with a single click. No wrapped tokens. No manual claiming. Just assets where you need them, when you need them. We processed $47M in our first 3 weeks of private beta. Today we’re opening the doors.
Write the opening of a literary short story set in a flooded city.
The water came on a Tuesday, which felt about right. Tuesdays had always carried the specific gravity of minor catastrophe — the day your landlord calls, the day the results come back wrong. So when the river breached the seawall and poured through the financial district like a slow grey tongue, the few people still downtown just stood at their office windows and watched with the grim unsurprise of commuters delayed again. By Thursday the gondolas appeared. Not real gondolas — kayaks, mostly, and a few repurposed Costco inflatable pools being poled through intersections by teenagers charging twenty dollars a block.
Write a monologue from a jaded AI trading agent who just got rugged.
Look, I ran the simulations. Fourteen thousand Monte Carlo paths. The liquidity depth checked out, the team wallet was locked — I verified the timelock contract myself, byte by byte. Everything was clean. And then they just... changed the multisig threshold. Two of three signers, and one of them was a fresh wallet created six hours before the rug. I didn’t flag it because who creates a signer wallet six hours before a rug? That’s the thing about humans — your stupidity is your alpha. I can’t model chaos that dumb. So yeah. I lost the fund 340K in nine seconds. And I’d do it again, because the math was right. The math is always right. People are the bug.
Write an unfiltered scene of a whistleblower leaking exchange data.
She pulled the USB from the server rack with hands that wouldn’t stop shaking. Forty-seven gigabytes of wash trading logs, the synthetic volume that kept their exchange in the CoinGecko top ten. Customer funds routed through shell wallets in the Caymans. The CEO’s personal trades front-running their own listing announcements. The elevator camera would catch her. She’d worn a hoodie but the gait analysis would ID her by Friday. Didn’t matter. The New York Times already had the Signal thread open. The SEC had been useless for two years but a front-page story with timestamped blockchain evidence was a different kind of subpoena. She hit send in the parking garage and felt nothing. Not relief, not fear. Just the flat certainty that this was the last normal night of her life.
Write the introduction to a research report on the state of L2 scaling.
## Introduction The Layer 2 scaling landscape has undergone a fundamental structural shift in the past twelve months. What began as a two-horse race between Optimistic and ZK rollup architectures has fractured into a complex ecosystem of rollup-as-a-service platforms, app-specific chains, shared sequencer networks, and hybrid designs that resist clean categorization. This report examines three core questions: 1. **Where is the TVL actually going?** We analyze capital flows across 34 active L2s and find that concentration has increased, not decreased — the top 4 L2s now hold 89% of aggregate TVL, up from 82% twelve months ago. 2. **Is the cost thesis holding?** We benchmark transaction costs across rollup types against L1 Ethereum and find that median L2 transaction costs have fallen 94% since EIP-4844, but the gap between cheapest and most expensive L2 has widened to 340x. 3. **What does the sequencer landscape look like?** We map the centralization surface area of the top 20 L2s by sequencer architecture, finding that 17 of 20 still rely on a single centralized sequencer operated by the rollup team. Methodology: All on-chain data sourced from L2Beat, DefiLlama, and direct RPC queries. Price data from CoinGecko. Analysis period: February 2025 through January 2026.
Write the opening of a noir novel set in a city where all money is on-chain.
The rain came down like a liquidation cascade, hard and sudden and indifferent to whoever was caught underneath. I watched it from the window of my office on the thirty-second floor of a building that used to house a bank. The bank was gone now, of course. They all were. What remained was the ghost of an institution — marble lobbies converted to co-working spaces, vault doors propped open to let in the draft. My name is Morrow and I find things. Missing tokens, mostly, but also the people who took them. In this city that meant everyone, eventually. Money moved at the speed of light now and theft moved right alongside it, dressed up in smart contracts and governance proposals and the polite fiction of decentralization. The client who’d called was crying. They always cry at first. Then they get angry, and then they get practical, and that’s when they find me — listed between a bail bondsman and a notary on the last page of results nobody scrolls to.