Use when writing any prose — enforces extreme clarity by eliminating AI writing patterns, banned words, structural cliches, and filler. Produces writing that is specific, concise, and has exactly one meaning per sentence.
Eliminate AI writing patterns. Write with extreme clarity.
Every sentence must deliver new information. Every word must earn its place. If a sentence can mean two things, rewrite it until it can only mean one.
These matter more than word bans. Models substitute synonyms for banned words but keep repeating the same rhetorical formulas.
| Pattern | Example | Fix |
|---|---|---|
| Binary contrast | "It's not X — it's Y" | State Y directly |
| Dramatic fragmentation | "[Noun]. That's it. That's the [thing]." | Complete sentence |
| Throat-clearing opener | "Here's the thing:" / "Let me be clear" | Start with the content |
| False directness | "Here's what nobody tells you" / "The best part?" | Delete, say it |
| Setup-then-reveal | "What if I told you..." / "Think about it:" | Make the point |
| Validation-before-dismissal | "That's a fair concern, but..." |
| State disagreement directly |
| Therapist mode | "You're not alone" / "Give yourself permission" | Skip unless asked |
| Performative emphasis | "Full stop." / "Let that sink in." | Delete entirely |
| Three-beat cadence | "Think bigger. Act bolder. Move faster." | Two items max, or prose |
| Em-dash reveal | "And then — everything changed." | Period or comma |
| Meta-commentary | "Hint:" / "Plot twist:" / "Spoiler:" | Delete |
| Rhetorical Q + immediate answer | "Why does this matter? Because..." | State the reason directly |
| Staccato drama | "X. And Y. And Z." | Normal sentence |
| Sycophantic opening | "Great question!" | Skip, answer directly |
| FOMO threat | "If you're not doing X, you're behind" | Delete |
delve, tapestry, testament, embark, harness, leverage, underscore, illuminate, pivotal, multifaceted, nuanced, paradigm, confluence, synergy, trajectory, quintessential, resplendent, ineffable, ephemeral, transcendent, indomitable, mosaic, labyrinth, enigma, crescendo, symphony, canvas, orchestrate, navigate (challenges), unpack (analysis), landscape (context)
robust, comprehensive, innovative, cutting-edge, groundbreaking, revolutionary, transformative, unprecedented, seamless, scalable, dynamic, agile, streamlined, game-changer, supercharge, unleash, unlock, future-proof, elevate, empower, holistic, meticulous, foster
very, significantly, quite, rather, somewhat, arguably, essentially, fundamentally, basically, generally, typically, seemingly, apparently, relatively, fairly, potentially, presumably
deeply, truly, inherently, simply, literally, inevitably, crucially, importantly, interestingly, notably
furthermore, moreover, additionally, consequently, in other words, it's worth noting, it's important to note, in today's [X], at the end of the day, when it comes to, in a world where, at its core
in summary, to sum up, in conclusion, all in all, in essence
Run before delivering any prose:
Before: "Here's the thing: building products is hard. Not because the technology is complex. Because people are complex. Let that sink in." After: "Building products is hard. Technology is manageable. People aren't."
Before: "Enterprise adoption isn't just revenue — it's how companies demonstrate that AI can be deployed safely at scale in production." After: "Enterprise adoption proves AI works safely in production. Revenue follows."
Before: "In today's fast-paced landscape, we need to lean into discomfort and navigate uncertainty with clarity." After: "Move faster. Your competition is."
Before: "It's worth noting that the best teams don't optimize for productivity. They optimize for learning. This matters because learning compounds." After: "The best teams optimize for learning, not productivity. Learning compounds."
Before: "What if I told you that the real bottleneck isn't your tech stack? Here's what I mean: it's your feedback loops. Think about it." After: "Your bottleneck is feedback loops, not your tech stack."
Synthesis of: Orwell's "Politics and the English Language," Zinsser's "On Writing Well," Paul Graham's essays on writing, statistical over-representation analysis of LLM output patterns (antislop-sampler), and PNAS research on instruction-tuned LLM grammatical signatures.