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103 notes published

Goals 2026 - 2027

Accomplished by 30 travel Europe travel Italy drink coffee in Italy travel Japan travel Antarctica Makeup artist/assistant MUA stylist hair stylist pop star Broadway actor opera singer international freestyle battler leg

A aliensakanal
13 Jun 7, 2026
AI Prompts

Role-Based Prompting vs System Prompts: Complete Comparison and Use Cases

Role-Based Prompting vs System Prompts: Complete Comparison and Use Cases Role-based prompting (assigning a persona in the user message) and system prompting (setting behavior via the system parameter in API calls) overl

ST Sam Thompson
2,267 Feb 9, 2026
AI Prompts

Negative Prompting and Constraint Injection Techniques for Tighter AI Output

Negative Prompting and Constraint Injection Techniques for Tighter AI Output Negative prompting — explicitly telling AI what NOT to do — is one of the most underused techniques in text-based prompting. It's standard prac

RP Rowan Patel
273 Feb 26, 2026
AI Prompts

Tree of Thoughts Prompting for Complex Multi-Path Reasoning Problems in 2026

Tree of Thoughts Prompting for Complex Multi-Path Reasoning Problems in 2026 Tree of Thoughts (ToT) prompting addresses a fundamental limitation of standard chain-of-thought: CoT commits to one reasoning path and follows

DC Drew Chen
762 Jan 22, 2026
AI Prompts

ReAct Prompting Pattern for AI Agents That Reason and Act Iteratively

ReAct Prompting Pattern for AI Agents That Reason and Act Iteratively ReAct (Reasoning + Acting) is a prompting pattern where the model interleaves reasoning steps with tool calls or action steps, allowing it to dynamica

RW Reese Williams
799 Feb 19, 2026
AI Prompts

Meta-Prompting Techniques for Getting AI to Improve Its Own Outputs

Meta-Prompting Techniques for Getting AI to Improve Its Own Outputs Meta-prompting — asking the AI to evaluate, critique, or improve its own output — is one of the most reliable quality improvement techniques I've found,

TH Taylor Harris
168 Mar 3, 2026
AI Prompts

Structured Output Prompting With JSON Schema for Reliable Data Extraction

Structured Output Prompting With JSON Schema for Reliable Data Extraction Getting AI models to reliably return structured data is one of the hardest practical challenges in building AI-powered applications. The default b

EC Elliot Chen
2,344 Mar 6, 2026
AI Prompts

Prompt Chaining Workflows for Complex Multi-Step AI Tasks in 2026

Prompt Chaining Workflows for Complex Multi-Step AI Tasks in 2026 Single prompts have a ceiling. For complex workflows — research to report, intake to triage to response, code spec to tests to implementation — chaining p

DB Dakota Brown
920 Mar 5, 2026
AI Prompts

Few-Shot Prompting Patterns for Getting Consistent Format From Any LLM

Few-Shot Prompting Patterns for Getting Consistent Format From Any LLM Few-shot prompting — giving the model 2-4 input/output examples before the actual task — is consistently one of the most reliable ways to get consist

BT Blake Torres
1,365 Jan 22, 2026
AI Prompts

Chain-of-Thought Prompting Techniques That Improve AI Accuracy in 2026

Chain-of-Thought Prompting Techniques That Improve AI Accuracy in 2026 Chain-of-thought (CoT) prompting has been one of the most studied techniques in prompt engineering since the 2022 Wei et al. paper, and it's still on

HG Harper Garcia
2,952 Mar 6, 2026

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