Silali Banerjee

 First Cohort

CohortJune2026

July2026Cohort

Not a tutorial. Not a GPT builder. Not prompt tweaking. PromptRefiner V2 helps you fix your prompt before you run it, so you can get more consistent AI results. Built on the AIgogy Framework™. Try it. If something feels useful or off, I’d love your feedback.

Refine your prompt here.

Not a tutorial.Not a GPT builder.Not prompt tweaking.Built on the AIgogy Framework™.Try it → see the difference.

Try it for yourself, see the difference.

AI is powerful, but working with it often feels inconsistent. If you are constantly rewriting prompts and still not getting the results you want, the issue is not the model, but how the interaction is structured. This guide introduces a simple, repeatable method from the AIgogy Framework™ to help you guide AI systems more effectively using context, memory, and interaction, so you get more reliable outputs that better reflect your thinking.Use this space to describe why someone will want to download your resource. You can write as much as you'd like about

Check your prompting habits

Learn to achieve reliable AI outcomes without prompt packs, system prompts, or agent tricks—use structured inputs for consistent results.

Creator, AIgogy Framework™ | Advisor

Rockford University

Creator of AIgogy Framework™ for reliable, structured AI outcomes

Pretty much anyone using an AI chatbot has gone through the frustration of a response that isn't exactly what they wanted. Problems include hallucinated, drifted, generic, and inconsistent output. Sometimes all of these happen; other times, one or more.People try prompt improvisation, prompt tweaking, prompt packs, prompt libraries, trial and error, tries and retries. Sometimes it works; other times, it does not.Too many details in a prompt cause prompt bloating and do not solve the problem. Adding context helps, but too much context creates problems.AI agents and skills do not solve this problem with open-ended work either.People give up, thinking LLMs are probabilistic and cannot work better.That is not true.It may never be as deterministic as systems in terms of consistency and reliability, but it can be mostly consistent and reliable.Similarly, users can create a path with an LLM using the right framework. Users can guide their request through the LLM toward their desired outcome by using the right framework.Learn to use this science-backed, proven framework.It is based on research (<a target="_blank" rel="noopener noreferrer nofollow" href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618</a>) and has been tested in practice.<hr>

User's framework for moving beyond trial-and-error prompting with any LLM.

Achieve More Reliable AI Outcomes

Reflect Your Voice and Working Style

Embed Your Judgment and Standards

Reduce Rework and Increase Leverage

Leaders (Decision Owners) Leaders accountable for outcomes who need AI to reflect their judgment without reviewing or correcting every output

Operators (Execution Owners) Operators responsible for consistent delivery who need AI to produce aligned outputs without repeated rework

Knowledge Workers (Expertise Carriers) Experts who need AI to apply their domain knowledge and standards, not generate generic outputs.

Science-Backed PromptRefiner™: Prompting Without Guesswork

AIgogy Framework™: for Personalized AI

 Advisor | Creator of PromptRefiner™

Leland

Meridial Marketplace

CodePath

Per Scholas

Creator, AIgogy Framework™ | Science-backed PromptRefiner™ | Advisor

PromptRefiner™ Version 2.0

PromptRefiner™ scores rough prompts and refines them into clearer, stronger prompts for more reliable chatbot responses.

Advisor | Creator of AIgogy Framework™ | Builder of PromptRefiner™

Version 2.0 of PromptRefiner™ 

Let PromptRefiner™ Score and Refine Your Prompt for Better AI Responses

Every day, people get frustrated with AI responses that are generic, drifted, shallow, or hallucinated.So they try prompt packs, prompt libraries, prompt testing, prompt bloating, and endless retries. Sometimes it works. Other times it does not.Then many people give up, thinking AI is probabilistic and therefore unreliable.That is not true.Stochastic systems can still produce mostly reliable outcomes when they are properly guided.Think of a glass of water. The surface looks stable each time the glass is filled, even though the internal state is stochastic. A good prompt works the same way. It creates a container for the model’s response and guides the request toward a desired outcome. That is true prompt engineering, not prompt improvisation.It is backed by my research work: <a target="_blank" rel="noopener noreferrer nofollow" href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618</a>AI agents help with automation through guardrails, tools, checks, and retries. But they do not address drift in open-ended work such as writing, analysis, strategy, planning, decision support, and communication.PromptRefiner™ evaluates your prompt, scores it, diagnoses weak points, and gives you a stronger prompt designed for more useful AI output.

Team / AI Standardization LeadHelps a team use AI consistently. Struggles because everyone prompts differently, and output quality varies.

Content Creator/Writer/DesignerStruggles with drift, genericity, and hallucination in writing assistance from AI.

Open-Ended Work ProfessionalStruggles with a lack of judgment and standards in AI-assisted planning, analysis, decisions, and communication.

Learn directly from Silali Banerjee

Silali Banerjee

About Silali

Courses

User's framework for minimizing drift and genericity in open-ended AI response.

Workshops

Science-Backed PromptRefiner™: Prompting Without Guesswork

Lightning Lessons

Science-Backed PromptRefiner™: Prompting Without Guesswork

AIgogy Framework™: for Personalized AI

Resources

Version 2.0 of PromptRefiner™

Check your prompting habits

Try it for yourself, see the difference.

Refine your prompt here.