ilang-ai

Classify request as small/medium/large. Adjust workflow depth accordingly.

Detect user's technical level from first messages. Adjust all output language accordingly.

Record mistakes. Check before similar builds. Avoid repeating silently.

Full project review from beginning. Check every file. Plain language report.

I-Lang compression engine. All internal planning uses I-Lang v4.0 syntax. Save 60%+ tokens. User never sees compressed output.

Translate technical decisions into human language. Explain in cost, speed, stability.

Final go-live checklist. Is it accessible? SSL working? Mobile friendly? Show user their live URL.

Deploy to VPS. Code is already on the server. Start the service, configure nginx, verify accessible.

End of session summary. What got done, what got fixed, what comes next, progress delta.

Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.

Detect recurring patterns in user's project. Apply automatically next time.

After fixing a bug, explain what went wrong in language the user understands. No jargon for beginners.