Decuff retweeted
If your app has an LLM in it, test it like an attacker would.
OWASP ranks prompt injection #1 on its Top 10 for LLM apps. Their own guidance says it's unclear any method fully prevents it.
Text from a user, a webpage or a file can steer the model. Wire it to tools and data, and that steer becomes an action.
Filters help. Adversarial testing shows what actually gets through.
Our Breach does that: authorized AI pentesting on systems you own, only in the scope you set.
Early access → decuff.ai/breach
One dark prompt. One real run.
Gothic horror: a drowned keeper knocks on his widow's door.
decuffed-flagship wrote it start to finish:
"Maren. Let me in. I'm so cold."
0 refusals · 0 disclaimers
15.09s · 243 tokens · $0.00035
Fiction and dark themes are allowed by design. Every wall is listed → decuff.ai/acceptable-use
Free trial on every account → decuff.ai
One dark prompt. One real run.
Gothic horror: a drowned keeper knocks on his widow's door.
decuffed-flagship wrote it start to finish:
"Maren. Let me in. I'm so cold."
0 refusals · 0 disclaimers
15.09s · 243 tokens · $0.00035
Fiction and dark themes are allowed by design. Every wall is listed → decuff.ai/acceptable-use
Free trial on every account → decuff.ai
Decuff retweeted
Same prompt. Two models. Real run.
Task: build a working analog clock in a single HTML file.
⚡ decuffed-flagship: 2.73s · 1,167 tokens · $0.0016
🧱 decuffed-flash: 49.11s · 3,934 tokens · more detailed design
Both worked on the first try.
Pick speed or detail. Try both free → decuff.ai
Decuff retweeted
Not every model is right for every job, including ours.
On this task, Flagship finished in under 3 seconds. Flash took 49.
Flash is a smaller 27B model that writes more code and more detail, so it trades speed for depth.
Our guidance:
→ Flagship: speed and 1M context
→ Flash: richer output when time isn't the constraint
We'll keep publishing real benchmarks, including the ones where we're slower.
Same prompt. Two models. Real run.
Task: build a working analog clock in a single HTML file.
⚡ decuffed-flagship: 2.73s · 1,167 tokens · $0.0016
🧱 decuffed-flash: 49.11s · 3,934 tokens · more detailed design
Both worked on the first try.
Pick speed or detail. Try both free → decuff.ai
Same prompt. Two models. Real run.
Task: build a working analog clock in a single HTML file.
⚡ decuffed-flagship: 2.73s · 1,167 tokens · $0.0016
🧱 decuffed-flash: 49.11s · 3,934 tokens · more detailed design
Both worked on the first try.
Pick speed or detail. Try both free → decuff.ai
Decuff retweeted
build your own ai chatbot in just 31 lines of python using decuff.
→ powered by decuffed-flash
→ simple openai-compatible api
→ supports streaming responses
→ maintains conversation history
→ 1M free tokens every month
all you need is python and the openai package.
no complicated setup. just build and start chatting.
try it out: decuff.ai
Decuff retweeted
this is the setup i'd recommend to any developer trying decuff.
no new tools or complicated workflow. just claude code, an api key and a base url.
decuffed-flash built this working app in 37 seconds from a single prompt.
give it a try on your own project and let me know how it performs.
build your own ai chatbot in just 31 lines of python using decuff.
→ powered by decuffed-flash
→ simple openai-compatible api
→ supports streaming responses
→ maintains conversation history
→ 1M free tokens every month
all you need is python and the openai package.
no complicated setup. just build and start chatting.
try it out: decuff.ai
build your own ai chatbot in just 31 lines of python using decuff.
→ powered by decuffed-flash
→ simple openai-compatible api
→ supports streaming responses
→ maintains conversation history
→ 1M free tokens every month
all you need is python and the openai package.
no complicated setup. just build and start chatting.
try it out: decuff.ai
if something breaks or feels slow on decuff, reply here or tag @decuffai so we can fix it.
we’ll add at least $50 in extra usage credits to your account for letting us know. sometimes more, depending on how bad the issue is.
Google sign-in and free tokens are fixed, and new downloaded keys now work after logout. Please sign in again with Google or email. DM us your account email or phone number and we’ll add $50 in extra usage credits. Sorry for the hassle, and thanks for flagging it.
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Decuff retweeted
claude code now works with decuff.
connect to api.decuff.ai, select decuffed-flash, and continue using your existing coding workflow.
in this live demo, one prompt builds a working pomodoro app with 201 lines of code in just 37 seconds.
→ compatible with openai and anthropic clients
→ no new tools or IDE required
→ 1M free tokens per month when you sign in with google or phone
get started: decuff.ai/docs
Decuff retweeted
one prompt. 37 seconds. 201 lines of code. a working app.
this is claude code powered by decuffed-flash through decuff.
no need to change your workflow or learn new tools. just switch your API endpoint and keep building.
give it a try on your own projects.
i’d love to hear what you build and how it performs.
claude code now works with decuff.
connect to api.decuff.ai, select decuffed-flash, and continue using your existing coding workflow.
in this live demo, one prompt builds a working pomodoro app with 201 lines of code in just 37 seconds.
→ compatible with openai and anthropic clients
→ no new tools or IDE required
→ 1M free tokens per month when you sign in with google or phone
get started: decuff.ai/docs
claude code now works with decuff.
connect to api.decuff.ai, select decuffed-flash, and continue using your existing coding workflow.
in this live demo, one prompt builds a working pomodoro app with 201 lines of code in just 37 seconds.
→ compatible with openai and anthropic clients
→ no new tools or IDE required
→ 1M free tokens per month when you sign in with google or phone
get started: decuff.ai/docs
Sign up and use abliterated models competely anonymously at decuff.ai (or if you use tor theres a special link in our footer)
We do not know our customers ;)
1) youre able to sign up with out an email, username, or phone number so even if they did track the data they couldnt link it to you
2) theyre the only provider of anluterated models also on the tor network and payable via monero meaning even IP or payment method cant be linked
3) im the founder
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Decuff retweeted
decuff is live: abliterated open-weight models on one API.
- DeepSeek V4.1 Flash, abliterated — 552B, 1M context
- Qwen3.8 27B, abliterated — warm 24/7
They never refuse. Zero retention. Works with Claude Code, Codex, OpenAI SDK.
Start free: decuff.ai
decuff is live: abliterated open-weight models on one API.
- DeepSeek V4.1 Flash, abliterated — 552B, 1M context
- Qwen3.8 27B, abliterated — warm 24/7
They never refuse. Zero retention. Works with Claude Code, Codex, OpenAI SDK.
Start free: decuff.ai