(no title)
jari_mustonen | 5 months ago
1. Structure & Flow
- Decision Trees: Clear branching logic with ├── and └── notation
- Sequential Steps: Numbered, ordered procedures instead of scattered explanations
- Prerequisites: Explicit dependency checks before proceeding
2. AI Agent Optimizations - Tool Call Clarity: Exact function names and parameters
- Binary Decisions: Clear yes/no conditions instead of ambiguous language
- Error Handling: Specific failure conditions and next steps
- Verification Steps: "Recheck" instructions after each fix
3. Cognitive Load Reduction - Reference Tables: Quick lookup for tools and purposes
- Pattern Recognition: Common issue combinations and their solutions
- Critical Reminders: Common AI mistakes section to prevent errors
4. Actionable Language - Removed verbose explanations mixed with instructions
- Consolidated multiple documents' logic into single workflows
- Used imperative commands: "Check X", "If Y then Z"
- Added immediate verification steps
brendoelfrendo|5 months ago
ranie93|5 months ago
whateveracct|5 months ago
measurablefunc|5 months ago
inerte|5 months ago
pjot|5 months ago
Soon enough Im sure we’ll start to see programming languages that are geared towards interacting with llms
LeoPanthera|5 months ago
https://en.wikipedia.org/wiki/Lojban
beefnugs|5 months ago
If the model creators themselves arent sharing this magic-word bullshitteryy then why is anyone spending time on this? It is just going to change with every model release
ivape|5 months ago
It’s quite amazing because it means programming is fully entering the natural language phase of the timeline.
If you aren’t a solid clear writer, you may not make it in the brave new world.
mhuffman|5 months ago
Have you not heard of all the AI startups that can turn a 3-word thought into very clearly written prose to be lovingly poured into the waiting mouth of your AI agent?
johnrob|5 months ago
idiotsecant|5 months ago