Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

I wanted to see if Qoder could turn a real World Development Indicators CSV into something verifiable, not just a pretty summary. I opened a new task, selected the QoderCSVReport workspace, left the model on Auto, set permissions, and gave Qoder the CSV. The file had 1,045 rows, 14...

188,759 görüntüleme • 1 ay önce •via X (Twitter)

7 Yorum

AI StackLab profil fotoğrafı
AI StackLab1 ay önce

Try Qoder free with 600 Credits 👇 300 from the Pro trial + 300 with code XK66ZB. 👉

JAYDEN™ profil fotoğrafı
JAYDEN™1 ay önce

Going from a 1,045-row dataset to a complete interactive dashboard plus verification script in one workflow is seriously impressive.

Aaliyah | AI profil fotoğrafı
Aaliyah | AI1 ay önce

Handling missing values correctly and validating everything against the original CSV shows how much more reliable these workflows are becoming.

Don Quijote de la IA profil fotoğrafı
Don Quijote de la IA1 ay önce

New tool for me Friend ✍️

AI with MERLIN profil fotoğrafı
AI with MERLIN1 ay önce

This goes way beyond a pretty AI summary — structured artifacts, a dashboard, and a verifier make the output genuinely practical.

Miguel Ángel | GptZone profil fotoğrafı
Miguel Ángel | GptZone1 ay önce

Very interesting, 600 Credits total: 300 from the trial and 300 from code.

Anna K Clinton : AI profil fotoğrafı
Anna K Clinton : AI1 ay önce

The independent verification step is what really stands out. Turning raw CSV data into something you can actually inspect and trust is incredibly useful.

Benzer Videolar

I wanted to see if an AI agent could take one goal all the way to a finished artifact. I gave Qoder a weekly competitor-tracking task. I started on the task screen, selected my workspace, left the model on Auto, set permissions, and sent the outcome instead of a step-by-step prompt. Qoder read the context and began planning. Rather than one generic research pass, it ran subagents for Cursor, Windsurf and GitHub Copilot in parallel. I watched them check public updates and bring their findings back into the main task. The work was visible: planning, tool calls, terminal commands, file changes and progress updates. It did not feel like another chat answer. It felt like watching a task move through an actual workflow. The final artifact was competitor-weekly-2026-09-22.md It summarized the week's highlights and included sources and caveats, including where public evidence was limited. That made the output reviewable: I could check the sources, question the conclusions, and decide what to do next. That is the part I care about. Qoder is a desktop AI agent you can hand an outcome as a task. It reads context, plans, uses tools, executes and verifies. You can watch, adjust, pause or take over. One goal → planning → parallel research → terminal work → verified Markdown report. In the model picker, Qwen3.8-Flash was showing 0.0x Credits through September 30, so that option was available at zero cost during the offer. If you want to try it, Qoder has a 14-day Pro trial with 300 Credits. Sign up first using this link at before you download. That adds another 300 Credits, for 600 total.

Nelly;

160,608 görüntüleme • 1 ay önce

I wanted to see if an AI agent could take one business task all the way to a verified artifact, so I gave Qoder a real one. In General mode, I selected the Business Data Analysis workspace, chose Qwen3.8-Flash from the model picker, enabled full access, and asked it to analyze every file in the folder and build an executive performance report for Jul 1-Sep 20, 2026. The brief included KPIs, revenue, gross profit, margins, monthly trends, regional and product performance, target attainment, marketing efficiency, customer mix, weighted CRM pipeline, anomalies, and charts. Qoder planned the task, read the source files, and ran terminal commands. It hit real issues: a broken NumPy environment, old folder paths, inaccurate claims, and chart label collisions. It switched to a working Python stack, repaired the scripts, corrected a "2x October target" claim to September, fixed a "2:1" product-tier claim that was actually 1.5:1, and re-ran the validate -> metrics -> charts -> report pipeline. The Browser Use step was the proof: Qoder opened the generated HTML, captured screenshots, and checked that the charts rendered correctly. The final report showed $450,635 net revenue, $311,262 gross profit, 69.1% gross margin, 937 orders, and $1.101M weighted pipeline from 120 open opportunities. That is the difference between a chat answer and an agent workflow: I could inspect the actions, challenge the output, and verify the result. Qwen3.8-Flash was at 0.0x Credits through Sep 30. Sign up first using this link at before you download. You will get 600 Credits: 300 from the trial and 300 from my code.

JAYDEN™

158,154 görüntüleme • 1 ay önce