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Hongyu Shen🙏 -1 karmaMar 27, 2026@MockoMocko.ai not good for TEF preparation. ⚠️ Broken AI Service & No Customer Support [Update: I successfully got all my money back via bank dispute.] I spent $202.72 on Mocko.ai(purchased in Dec, 2025) for TEF preparation, and it is a total failure. The AI is broken — it marks correct answers as "Wrong" even when they match the audio perfectly. The product does not do what it promises. My Evidence (Screenshots: https://drive.google.com/drive/folders/1GgneM32b3BEMZd7P82tjxnYgDwV37N2_?usp=sharing): 1. 100% Error Rate: I did 5 random tests. Each time, I answered only the first listening question, recorded the audio, took a screenshot then went to result. Every single time, the AI marked my correct answer as "Wrong." 2. Unable to review any listening question in mock exam: The review page crashed with a coding error: "Something went wrong while showing your report. examContext.Provider is missing!" 3. No Correct Answers Provided: In the listening mock exam, the system flags your answers as "Wrong" but doesn't tell you the correct answers. 4. Inaccurate Grading: I recorded a full listening test in mock exam and converted the audio to text. The AI claimed I got 29 wrong (especially a weird pattern from Q3 to Q14). I compared these with ChatGPT and Gemini, and both confirmed that my answers should be 29 correct and 11 wrong. -
The exercises this app generates are of extreme quality! One of the best out there :) I look forward to more exercises!
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Build fluency through conversations on any topic with Arti, our AI tutorOpen -
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I found AHelp during its ProductHunt launch. Tried its free tools and was quite satisfied. That's why plan to use them often.
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A lot of humanizer software is actually just gpt wrappers to do this by asking gpt to rewrite with some different voice. Ace Essay does have their own AI that does a better job at humanizing.
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Claude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
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Practice speaking, reading, writing and listening and improve your learning.Open -
A French teacher for professional language skills.Open
