Breaking large tasks into steps with Goblin Tools
Bram De Buyser built Magic ToDo to turn a large task into smaller actions you can edit and check off.
Learn what AI models, tools and agents do. Read real projects, compare your options and explore model and software trends, with sources and capture dates shown.
A capability to build with.
Models generate or interpret text, images and audio. Explore the task, access and requirements before choosing one.
Explore model capabilitiesTools connected to a task.
Agents can plan steps and use tools. Compare what they can access, where they run and how you stay in control.
Explore agent workflowsThe code behind an idea.
Repositories contain software and documentation. Follow dated attention signals, then inspect the project and its original sources.
Explore software projectsA model generates or interprets content. An application makes that capability usable, and an agent can use tools to carry out several steps. See those parts working together in real examples, from a task checklist to a searchable document archive.
Read the AI basics guide · Explore real implementationsBrowse dated model and repository snapshots, then open a detailed profile or comparison. Each article explains the workflow, requirements and tradeoffs. The discovery lists help you find things to investigate; their metrics do not establish which product is best for your work.
Browse repository trends · Compare tools and modelsExplore three entries from each source below. Open an entry for its description, or browse the complete snapshot.
Provider-defined trending score across the captured public model tasks. Higher attention does not establish better answers.
Produce text from image and text inputs, such as descriptions or answers about an image.
Open the publisher’s model cardSource discovery entry; not independently reviewed or endorsed.Generate or continue text from a prompt. Check the card for the intended languages, context and deployment.
Open the publisher’s model cardSource discovery entry; not independently reviewed or endorsed.Generate or continue text from a prompt. Check the card for the intended languages, context and deployment.
Open the publisher’s model cardSource discovery entry; not independently reviewed or endorsed.All topics and languages, in GitHub’s official order. Stars today measure interest, not downloads or installations.
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/ .
Open the project on GitHubSource discovery entry; not independently reviewed or endorsed.An agentic skills framework & software development methodology that works.
Open the project on GitHubSource discovery entry; not independently reviewed or endorsed.The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.
Open the project on GitHubSource discovery entry; not independently reviewed or endorsed.Hugging Face captured 29 Oct 2026 at 21:17 UTC; GitHub daily at 29 Oct 2026 at 21:17 UTC. Provider-defined trends are attention signals, not quality scores or endorsements.
Dots, Duet, Grok Bot and Hermes. Four approaches to ongoing work, with different access, memory, costs and responsibilities. Choose by the task you want to accomplish.
Explore the four-way comparisonBram De Buyser built Magic ToDo to turn a large task into smaller actions you can edit and check off.
Be My Eyes made image descriptions and follow-up questions available inside its app, with input from blind and low-vision testers.
Read the builder’s goal, the tools they connected and the evidence of the result. Want a guided exercise instead? Open the practice workshops.
Mistral released improved Le Chonk checkpoints after the October preview. The modified-MIT license includes material commercial conditions, and the weights target substantial GPU infrastructure.
What to watch: An API preview and downloadable weights are different access routes. Read the exact license and runtime requirements before choosing self-hosting.
Runway’s October 27 announcement connects ad-performance inputs to branded creative variants and publishing workflows. The feature is described for paid plans.
What to watch: A more connected creative loop may reduce handoffs. No return-on-investment claim has been independently verified.
OpenAI introduced GPT-6.1 Terra for visual understanding, computer use and writing. Its positioning distinguishes these tasks from the hardest coding workloads assigned to Sol and Astra.
What to watch: Evaluate it on the visual or writing task you actually need, and tightly bound any computer-use permissions.
The Decisions API is generally available for bounded classification and scoring workflows. It is a distinct interface from general conversational chat.
What to watch: A focused decision interface can fit narrow tasks, but calibration and correctness still require task-specific evaluation.