UPDATE: Came up with an even better version of this prompt after the feedback Ask Codex to look across your sessions, Memories, and Chronicle, identify patterns, reuse what already exists, and only create the smallest useful skill, subagent, or automation. "Look back over my x.com/reach_vb/statu…
PROMPT ENGINEERING
-
Agent Token Efficiency: Context Re-reading Loop Performance
By
–
input tokens are the real driver here. agent re-reads the entire context on every single loop
-
Building SaaS Apps with Multiple LLMs in One Prompt
By
–
🚨 One Prompt To A Fully Functional SaaS App And Complete Software
— Abacus.AI (@abacusai) 27 mai 2026
Opus 4.7 -> front-end
GPT 5.5 -> long running complex backend
Gemini 3.5 – > AI chatbot embedded in the app
Sonnet 4.6 -> scheduled task mask management
Kimi 2.6 -> simple cron jobs
One prompt will build AND… pic.twitter.com/nzMkP7ripuOne Prompt To A Fully Functional SaaS App And Complete Software Opus 4.7 -> front-end
GPT 5.5 -> long running complex backend
Gemini 3.5 – > AI chatbot embedded in the app Sonnet 4.6 -> scheduled task mask management
Kimi 2.6 -> simple cron jobs One prompt will build AND -
Storyboard-first AI video workflow with Topview Canvas and Seedance 2.0
By
–
The prompt box was never enough.
— God of Prompt (@godofprompt) 26 mai 2026
AI video needs a creative workflow, not another “type and pray” casino.
Topview Canvas lets you build the storyboard first, arrange scenes on an infinite Figma-like canvas, work with an agent, then generate with Seedance 2.0.
Control before… https://t.co/nDA3Zhiv8F pic.twitter.com/Q2Qu1D4ZzbThe prompt box was never enough. AI video needs a creative workflow, not another “type and pray” casino. Topview Canvas lets you build the storyboard first, arrange scenes on an infinite Figma-like canvas, work with an agent, then generate with Seedance 2.0. Control before
-
Packaging thinking into reusable AI Skills is the next moat
By
–
The next AI moat won’t be “I know how to prompt.” That’s already getting commoditized. The real moat is packaging how you think into a Skill people can run. Your edge becomes reusable.
Your process becomes a product.
Your brain starts earning without being in the room. -
Constrained Generation and Memory Patterns in AI
By
–
That progression is a clean way to frame it. Constrained generation, constrained tool calling, constrained memory. Same pattern applied one layer deeper each time. The temporal piece is underrated. Most teams get to typed entities and stop, but fact invalidation is what keeps
-
Concerns about infinite context windows and model memory
By
–
Infinite context windows seem to present a very large problem to using AI. Today's models already leak too much old information into current responses, a distraction that is part of why they are cognitively exhausting to use I don't want to work with Borges's Funes the Memorious
-
Why small conversational models differ from paid models
By
–
Great question! A couple reasons:
1) they are not the same as paid models, they are small & built for fast conversation rather than real work
2) they are designed to be cheap to run, so they use minimal thinking and tool calls. Tool calls and thinking are big drivers of accuracy -
Microsoft paper: SkillOpt for self‑evolving agent skills
By
–
One of the most important objects in agentic AI may turn out to be a Markdown file. Not the model weights.
Not the prompt. The skill document. A new Microsoft paper introduces SkillOpt: Executive Strategy for Self-Evolving Agent Skills. The thesis is sharp: If an agent’s -
Capafy: monetize AI workflows as products
By
–
Your best prompt/workflow shouldn’t die in a folder.
— God of Prompt (@godofprompt) 26 mai 2026
Capafy turns Skills into products people can use while you get paid per run.
Closed-source.
Online.
Monetized.
This is where AI workflows stop being “cool demos” and start becoming assets. https://t.co/GsPxS3dXDrYour best prompt/workflow shouldn’t die in a folder. Capafy turns Skills into products people can use while you get paid per run. Closed-source.
Online.
Monetized. This is where AI workflows stop being “cool demos” and start becoming assets.