Welcome to Cipherc
Cipherc is a library of precision-engineered, model-specific prompt packs designed for operators who run AI at scale. Every prompt in every pack has been tested in real campaigns before shipping.
This documentation covers everything from first purchase to advanced model-specific usage. If you're new, start with Quick Start. If you want to go deep on a specific model, jump to Model Guides.
Quick Start
Get up and running with your first prompt pack in under 5 minutes.
Download Your Pack
Each pack ships as a structured .md file (Markdown). Open it in any text editor, Notion, Obsidian, or paste directly into your AI interface.
Match Prompt to Model
Each prompt is labelled with its target model. Open Claude, GPT-4, Gemini, or Groq — paste the prompt as your system or user message, then fill in the [placeholders].
Iterate and Deploy
Use the output as-is or refine it. Most prompts are designed to work on the first try. For best results, keep the structure intact and only edit the bracketed variables.
Example: Using a Cold DM prompt
Delivery & Access
All packs are delivered digitally. Here's how it works:
| Detail | Info |
|---|---|
| delivery_time | Instant — download link emailed on purchase |
| format | Structured Markdown (.md) — works in any editor |
| updates | Free forever — new prompts added to existing packs |
| licence | Personal use only — no resale or redistribution |
| refunds | Not offered on digital goods — but we'll fix any issue |
Model Guides — Overview
Cipherc covers 8 models. Each has a different response profile, context window, and tone tendency. Understanding these differences is the core of getting great output.
Claude
Exceptional at long-form reasoning, nuanced tone, and multi-step tasks. Best for premium outreach, research chains, and anything requiring depth. Sensitive to instruction structure — be explicit.
GPT-4
Fast, adaptive, and great at tone matching. Excels at cold DMs, social copy, and anything requiring volume. Responds well to persona-setting system prompts.
Gemini
Strongest cross-document synthesis and narrative tracking. Use for multi-source summarisation and story development. Works best with structured input.
Groq
Fastest inference. Ideal for live Discord ops and real-time signal generation. Slightly less nuanced than Claude or GPT-4, but wins on speed when that matters.
Bolt
Code-aware and task-structured. Use for automation scripts, bot flows, and anything involving logic or workflow design.
Brave
Live-web grounded. Outputs cite or reference real-time data. Use when accuracy and source-backing matter more than stylistic polish.
Mistral
Local inference friendly. Privacy-first. No data sent to external servers. Ideal for sensitive ops, internal tooling, and air-gapped environments.
Claude — Usage Guide
Claude (Anthropic) is the recommended model for long-form, high-stakes outputs. It handles complex multi-step instructions better than any other model in the arsenal.
System Prompt Structure
Recommended Settings
| Parameter | Value | Reason |
|---|---|---|
| temperature | 0.7–0.9 | Preserves creativity while staying on-task |
| max_tokens | 600–1200 | Gives Claude room for depth without bloat |
| system_prompt | Always set | Claude responds dramatically better with context |
GPT-4 — Usage Guide
GPT-4 is the workhorse. Fast iterations, strong tone matching, and reliable output quality at scale. The Cold Outreach Engine is built entirely around GPT-4's strengths.
Persona Injection
Groq — Usage Guide
Groq is the speed layer. When you need real-time outputs for live Discord drops, alert messages, or on-the-fly community responses, Groq's inference speed is unmatched.
Speed-Optimised Prompt Format
Prompt Library — Categories
Prompts are organised into five categories. Each category has its own optimised structure and recommended model pairings.
Cold Outreach
Cold DM Blitz (20 prompts)
Openers, hooks, closers — GPT-4 tuned
Follow-Up Machine (15 prompts)
Persistent without being pushy — Claude tuned
Influencer Pitch Kit (18 prompts)
Peer-to-peer pitch templates — GPT-4 tuned
Trading
Crypto Caller Pack (25 prompts)
Alpha calls, narratives, launch hooks — Claude
Alpha Signal Suite (30 prompts)
Real-time signal generation — Groq
Degen Playbook (22 prompts)
Full operator toolkit for volatile markets — GPT-4
Content
Twitter Thread Engine (20 prompts)
Thread structure and hooks — Claude
Long-Form Writer (15 prompts)
Newsletters, essays, research — Claude + Gemini
Automation
Discord Ops Suite (18 prompts)
Bots, welcome flows, alerts — Bolt + Groq
Community Manager Pack (16 prompts)
AMAs, onboarding, de-escalation — GPT-4
Ops
Risk & Warning Pack (12 prompts)
Rugpull warnings, scam alerts — Brave
Full Prompt Library (220+ prompts)
Every category, every pack bundled
Best Practices
A few principles that separate good prompt usage from great prompt usage:
1. Always set a system prompt
Models with a context-setting system prompt consistently outperform those without one. Even a two-sentence persona makes a significant difference.
2. Fill every placeholder
Every [BRACKETED_VARIABLE] in a prompt exists for a reason. Leaving one blank forces the model to guess — and it usually guesses wrong.
3. Match pack to model
Each pack is designed for a specific model's strengths. Cross-model usage works, but match the pack to its intended model for best results.