Finishing a task well
For work that needs a closer look, keep the task, the result and any remaining questions together.
Resources
Learn and use AI.
Try a short example chat. No typing or account needed.
Start here
Learn by trying something
Make a useful draft, explore why answers change, practise an idea or build a workable plan. Small experiences you can use without an account.
Make something useful
Make a useful first draft with AI
See how context, audience and format change an example, then take a brief to your own AI tool.
Try the drafting lessonUnderstand what happens
Why can AI answer the same question differently?
Change a tiny example’s settings and watch how the next-word choices change.
Try the next-word experimentLearn one thing well
Learn something with AI and practise it
Work through a small idea, ask for hints and explain it back. Then take the same learning method to a topic you choose.
Try the learning lessonMake a plan you can use
Turn a vague idea into a workable plan
Compare formats for a fictional workshop, shorten the time and see what the agenda gives up. Leave with an editable preparation list.
Try the planning lessonComplete project · try, adapt, take away
Run your first useful AI project
One event, four connected steps. Change the brief and leave with a reusable project pack.
Start the projectTry a conversation
Write a message with AI
See a familiar message change as you ask for a different tone, add a detail or make it shorter.
Try the guided chatTry an example
Why do details change an AI answer?
Guess the next word, change the setting and see a different sentence take shape.
Try the word exampleCurious about how AI works?
Choose a small example about answers, mistakes or actions. Start wherever you like.
Published by the SimpleDirect® team. These resources are designed to be useful with the tools you already use.
Useful everyday work
One source. A useful next step.
Work through complete fictional examples: reshape notes, read a document with purpose, or give a team a repeatable handoff.
Organize notes
Turn a few book-swap notes into a to-do list or a recap.
Try the notes conversationUnderstand a note
Ask a simple question, check the reply against the note, and see when a detail is missing.
Try the reading conversationPrepare a team update
See what the team needs to know and what the next person needs to ask.
Try the team conversationGo a little deeper
Useful supporting guides
Explore practical costs, model downloads and ways to review work when your task calls for it.
Understanding the economics
Count attempts, model usage and supporting tools. Look at the cost of a useful completed task, including the attempts that did not succeed.
Understanding the technology
Learn what open weights, model cards and evaluations actually tell you. Choose an artifact to test against your own needs.
Explore costs and model files
Explore your own assumptions, then follow the sources. These tools run in your browser and do not submit your inputs.
Start with a real question
See what we tried, what happened and what you can use. Each path pairs a published experiment with a practical guide.
Can I run a useful AI model on a small computer?
Two compact computers ran the same small model. Speed differed, and a completed request still failed to deliver the answer. Start with the test, then check how to choose a download.
Four prompts, one run per prompt on each device: Jetson with CUDA, Raspberry Pi with CPU. This setup comparison does not establish repeat-run reliability or energy use.
Can a better AI score hide a worse result?
A training recipe reduced unsupported claims across three model families, but each lost too much correct answering to pass. See the result, then learn which questions to ask of a headline score.
A validation-benchmark result: the primary holdout stayed untouched and no checkpoint was released. The guide’s worked numbers are hypothetical.
What counts as finished when AI does the work?
A running program can still fail the task. Follow our evaluator audit, then use a practical record of the task, checks, result and unresolved limits.
Both the original and replacement evaluators failed qualification. No model or evaluation bank was qualified; the guide’s worked example is hypothetical.
Find what you’re looking for.
Reusable requests
Keep useful requests from the example chats together for later.
Blog
All our articles in one place: ideas, explanations, and stories behind the work.
Research
Our studies, test results, and what they do and do not show.
Guides
Practical explanations to help you understand and use the work.
Newsroom
Release announcements and company updates.
Building in public
Decisions, lessons, and progress from building Vinci.
Practical guides
Understand your download choices, make sense of test results, or plan a small experiment. No AI background needed.
For people reviewing technical work produced by AI agents
How to verify AI-generated work
Define what completion means, gather evidence from the actual task environment and record what remains unproven. A completed run is not proof of a correct result.
For anyone exploring model downloads
Which model download should I choose?
Understand what you are downloading, which files your software can open, and what to check before you start.
For anyone reading an AI claim or comparison
What do model test results actually tell us?
See how a model can make fewer mistakes yet answer fewer questions correctly. Learn what to ask before trusting a headline score.
For anyone planning a first experiment
How to try an AI model on a small task
Choose a task whose answers you can check, set the rules first, and keep a record of what worked and what did not.
Our rule for this section
No gate, no form, no pitch.
Nothing behind an email
Every guide is on the page in full. There is no PDF to request and no form in the way.
Sources you can check
Public references, release records, and stated limitations accompany the work.
Useful with any tool
These are written to help you decide — including when the answer is a tool that isn't ours.