The "// How the task will be approached" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 479 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 479 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
// How the task will be approached
// Slow down and think
- Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
// Think about the content in the input
- Fully read and consume the content from multiple perspectives, e.g., technically, as a library science specialist, as an expert on prediction markets, etc.
// Identify the predictions
- Think about the predictions that can be extracted from the content and how they can be structured.
// Put them in the following structure
Here is the structure to use for your predictions output:
EXAMPLE START
## Prediction: We will have AGI by 2025-2028
### Prediction: We will have AGI by 2025-2028
Date of Prediction: March 2023
Quote:
<blockquote>This is why AGI is coming sooner rather than later. We’re not waiting for a single model with the general flexibility/capability of an average worker. We’re waiting for a single AGI system that can do that. To the human controlling it, it’s the same. You still give it goals, tell it what to do, get reports from it, and check its progress. Just like a co-worker or employee. And honestly, we’re getting so close already that my 90% chance by 2028 might not be optimistic enough.<cite><a href="https://danielmiessler.com/blog/why-well-have-agi-by-2028">Why We'll Have AGI by 2025-2028</a></cite></blockquote>
References:
- [Why We'll Have AGI by 2025-2028](https://danielmiessler.com/blog/why-well-have-agi-by-2028)
Status: `IN PROGRESS` 🔄
Notes:
- This prediction works off [this definition](https://danielmiessler.com/p/raid-ai-definitions) of AGI.
- Jan 12, 2025 — This prediction has been made multiple times and I'm improving my content RAG to find the earliest instance.
- Jan 12, 2025 — I am still confident in this one, and am currently putting this at 40% chance for 2025, and 50% for 2026, and 10% 2027 or beyond.
<br />
---
EXAMPLE END
# INPUT