send this prompt to GPT-Astra, it might just change your life... your agent says done. it has no idea if it is done it read the code instead of running it this prompt finds every place it can claim success without establishing it run it before you add another agent

send this prompt to GPT-Astra, it might just change your life... your agent says done. it has no idea if it is done it read the code instead of running it this prompt finds every place it can claim success without establishing it run it before you add another agent

how to setup and use Jev in 10 minutes from nothing to a call that returns a decision 1. get access join the waitlist at typesafe, people report getting in within a day don't want to wait, it's already hosted in two places: → vercel ai gateway as typesafe-ai/jev, no waitlist → cloudflare workers ai as typesafe/jev 2. install the skill so your agent writes the call correctly npx skills add typesafe-ai/skills --skill typesafe-ai on claude code it's two commands: - claude plugin marketplace add typesafe-ai/skills - claude plugin install typesafe@typesafe-ai then in your prompt just say "use the typesafe skill" 3. learn the shape before you write a line the body is a state and a map of questions. the state is your context, whatever you would have pasted into a prompt. the questions are typed three types, that's the entire api: → Noul returns a raw 0 to 1 → Choice picks one from up to 255 options you define → Score places it on a 2 to 10 level scale every Choice and Score comes back with a confidence from 0 to 1 4. make the first call a real one pick a decision already living in your code as an llm call that never writes text. the "which of these" one how to do it: - build the option list in your own code, not in the prompt - send your existing context as the state, unchanged. don't rewrite it yet - ask your question plus three more you're curious about, they run in parallel against the same state and output tokens are free - log the answer, the confidence, and what your old call said - leave the old call running. delete nothing on day one 5. put a limit on it before it touches anything read confidence on every response, never just the answer low limit for reading and sorting. 0.85+ for anything you cannot undo. everything under the limit falls through to the old call that fallback is four lines, and it's the reason you can ship this on a tuesday instead of planning it for q4 the 10 minutes is real. the hour after is the actual work: you, a log of answers and confidences, deciding where your lines go start in the playground in the console, and paste a real state from your own product, not the sample one

how to setup and use Jev in 10 minutes from nothing to a call that returns a decision 1. get access join the waitlist at typesafe, people report getting in within a day don't want to wait, it's already hosted in two places: → vercel ai gateway as typesafe-ai/jev, no waitlist → cloudflare workers ai as typesafe/jev 2. install the skill so your agent writes the call correctly npx skills add typesafe-ai/skills --skill typesafe-ai on claude code it's two commands: - claude plugin marketplace add typesafe-ai/skills - claude plugin install typesafe@typesafe-ai then in your prompt just say "use the typesafe skill" 3. learn the shape before you write a line the body is a state and a map of questions. the state is your context, whatever you would have pasted into a prompt. the questions are typed three types, that's the entire api: → Noul returns a raw 0 to 1 → Choice picks one from up to 255 options you define → Score places it on a 2 to 10 level scale every Choice and Score comes back with a confidence from 0 to 1 4. make the first call a real one pick a decision already living in your code as an llm call that never writes text. the "which of these" one how to do it: - build the option list in your own code, not in the prompt - send your existing context as the state, unchanged. don't rewrite it yet - ask your question plus three more you're curious about, they run in parallel against the same state and output tokens are free - log the answer, the confidence, and what your old call said - leave the old call running. delete nothing on day one 5. put a limit on it before it touches anything read confidence on every response, never just the answer low limit for reading and sorting. 0.85+ for anything you cannot undo. everything under the limit falls through to the old call that fallback is four lines, and it's the reason you can ship this on a tuesday instead of planning it for q4 the 10 minutes is real. the hour after is the actual work: you, a log of answers and confidences, deciding where your lines go start in the playground in the console, and paste a real state from your own product, not the sample one

send this prompt to GPT-Astra, it might just change your life your agent knows how to work. it does not know when to stop and get you in the right hands, this changes everything:

Claude Code fires 30 events per session you can hang your own code on any of them the 6 that changed how I work: A hook is a shell command that runs at a fixed moment. It isn't a prompt that's the whole point. The model can reason its way around an instruction. It can't reason its way around a hook 1. PreToolUse → before a tool runs, and it can block it mine refuses any write to .env, and any rm it didn't explain first 2. PostToolUse → after a tool succeeds mine runs the formatter on whatever file it just touched. I stopped asking for tidy code 3. UserPromptSubmit → after I hit enter, before the model sees it mine attaches the branch and the last commit. every prompt. I never type it 4. Stop → the turn is finished mine runs the tests. If they fail, the turn isn't finished 5. SessionStart → a session begins or resumes mine prints the three things I changed yesterday and always forget 6. PreCompact → the moment before it compacts mine saves the transcript. I've lost one. Not twice they all live in .claude/settings.json. A matcher decides which tools they fire on the other 24 are real (SubagentStop, FileChanged, PermissionDenied, WorktreeCreate). I've never needed one start with PostToolUse. it's the one you feel today Bookmark this. This is the one.

Claude Code fires 30 events per session you can hang your own code on any of them the 6 that changed how I work: A hook is a shell command that runs at a fixed moment. It isn't a prompt that's the whole point. The model can reason its way around an instruction. It can't reason its way around a hook 1. PreToolUse → before a tool runs, and it can block it mine refuses any write to .env, and any rm it didn't explain first 2. PostToolUse → after a tool succeeds mine runs the formatter on whatever file it just touched. I stopped asking for tidy code 3. UserPromptSubmit → after I hit enter, before the model sees it mine attaches the branch and the last commit. every prompt. I never type it 4. Stop → the turn is finished mine runs the tests. If they fail, the turn isn't finished 5. SessionStart → a session begins or resumes mine prints the three things I changed yesterday and always forget 6. PreCompact → the moment before it compacts mine saves the transcript. I've lost one. Not twice they all live in .claude/settings.json. A matcher decides which tools they fire on the other 24 are real (SubagentStop, FileChanged, PermissionDenied, WorktreeCreate). I've never needed one start with PostToolUse. it's the one you feel today Bookmark this. This is the one.

send this prompt to GPT-Astra, it might just change your life your agent knows how to work. it does not know when to stop and get you in the right hands, this changes everything:

Codex tip most people are sleeping on: A cost-efficient DeepSeek V4.1 Flash agents, orchestrated by Astra. Astra plans and reviews. Flash does the heavy lifting at a fraction of the cost. paste it into Codex to get started 👇

i’m a sugar daddy for men with GitHub accounts. Marc got $68k and a Mercedes. you get a shot at $50k for building something people actually use with the Higgsfield API. competition pinned. make me proud.

Codex tip most people are sleeping on: A cost-efficient DeepSeek V4.1 Flash agents, orchestrated by Astra. Astra plans and reviews. Flash does the heavy lifting at a fraction of the cost. paste it into Codex to get started 👇

the smartest AI business i've seen this year sells kitchen renovations. GPT-6 Astra + the Higgsfield API wired into one chat. no reps, no calls. here's the whole thing... client sends 4 blurry photos of their kitchen Gpt-6 Astra reads the whole chat. budget, deadline, objections Higgsfield API turns the photos into their exact kitchen, renovated. 3 styles, image & video 60 seconds later the client is picking a style. quote attached, site visit booked. build this in a weekend using Higgsfield API, sell it to every renovation company in your city for $2k/mo. 5 companies = $10k/mo. if your clients have to imagine the result first, you're either building this or losing to the guy who does.

send this prompt to GPT-Astra, it might just change your life you know your monthly bill. you have no idea which task is eating it in the right hands, this changes everything:

send this prompt to GPT-Astra, it might just change your life you know your monthly bill. you have no idea which task is eating it in the right hands, this changes everything:

send this prompt to GPT-Astra, it might just change your life your agent can install whatever it wants. this shows you what that actually means in the right hands, this changes everything:

GPT-6 Astra is insanely powerful. But most people will barely use 10% of it. The difference is knowing how to prompt it properly. I put together the complete GPT-6 Astra Prompting Masterclass so you can get dramatically better results from day one