Sources are essential
You need to verify facts, monitor current events or cite references: begin with AI search engines that make their sources visible.
AI directory & meta search
All of AI. One place to start.
Describe what you want to achieve in plain language: WORLD AI GUIDE identifies suitable engines, compares their uses and helps you begin in the right place. Research, creation, code, automation or local work: the selection changes with your goal and constraints.
303services
291active
100curated
42languages
Decide in 30 seconds
Which kind of AI tool should you choose? Four simple signals.
WORLD AI GUIDE is an editorial directory and routing meta-engine. It does not produce a universal ranking: it helps identify a sensible starting point for a task, the required privacy level and the intended output.
See how we evaluate tools →
Confidential data
You are working with internal or sensitive files: examine local, self-hosted or enterprise-ready options first.
Visual deliverable
You need an image, mock-up or brand asset: prefer a specialist creation tool over a general-purpose assistant.
Repeatable process
You want to connect apps, trigger actions or sequence several steps: explore agents and automation tools.
Before choosing a tool, check these five points
- Sources
- Are references visible, dated and genuinely available to inspect?
- Data
- Where are files processed, retained and reused?
- Real cost
- Are limits, credits, paid options and usage rights clear?
- Control
- Can a person correct, resume and validate the result?
- Portability
- Do export formats let you change tools without starting again?
Filter directory
47 results
All categories
# OpenAI Platform
# OpenRouter
# Google AI Studio
# Claude Platform
# Groq
# Hugging Face Models
# Replicate
# Fal.ai
# Codex
# Claude Code
Profile: uses and limits →
# Google Antigravity
# Kiro
# Amp
# Cursor
Profile: uses and limits →
# Devin Desktop
# GitHub Copilot
Profile: uses and limits →
# Replit
# v0
# Lovable
# Bolt.new
# Cody Enterprise
# Continue
Profile: uses and limits →
# Aider
Profile: uses and limits →
# LangSmith
# Pinecone
# JetBrains Junie
Update source ↗
# Amazon Q Developer
# Warp
# Tabnine
# Base44
# Factory Droids
Update source ↗
# Qodo
# CodeRabbit
# Cline
# Augment Code
# Together AI
# Cerebras Inference
# Fireworks AI
# Zed
# OpenCode
# Qwen Code
# GitLab Duo
# Pieces
# BLACKBOX AI
# Bito
# Sourcery
Update source ↗
# Roomote
Cloud or self-hosted coding agent from the creators of Roo Code. Distinct from the discontinued extension.
Update source ↗No service matches this selection.
Choose by use
Ten practical ways to begin your search
AI assistants
For writing, summarising, explaining, translating or testing an initial idea with several approaches.
Explore this family →Research and sources
For checking facts, exploring a subject, comparing references and keeping useful links.
Explore this family →Multimedia creation
For producing images, video, sound, presentations or brand content.
Explore this family →Video and motion
For planning a shot, producing a sequence, adding captions or speeding up editing.
Explore this family →
Audio and voice
For creating a voice, cleaning a recording, composing an atmosphere or preparing narration.
Explore this family →Work and documents
For organising notes, creating a presentation, rewriting a document or preparing a summary.
Explore this family →
Code and automation
For building, reviewing code, connecting services or structuring a workflow.
Explore this family →Agents and workflows
For sequencing steps, triggering actions and keeping a process clear.
Explore this family →
Cloud and organisation
For teams looking for governance, data, shared tools and more structured deployments.
Explore this family →
Privacy and local tools
For working with more control over data, access and the technical environment.
Explore this family →Practical situations
Eight contexts where AI can save time
Learn and teach
Prepare a lesson, reframe a concept, create material or adapt an exercise.
Design a product
Explore an idea, structure a brief, gather references and prepare a proposal.
Analyse data
Prepare an analysis, spot patterns and build leads to verify.
Work locally
Choose an independent environment, test open models and keep technical control.
Check information
Cross-check sources, put an answer in context and retain a trail of checks.
Publish and communicate
Create a first version, adapt a campaign or prepare editorial content.
Support people
Prepare a response, sort requests and improve a support journey.
Explore the web
Monitor a topic, open relevant pages and broaden research before deciding.
Field guides
Use a method before choosing a tool.
Explore selection, sourcing, privacy or automation with checks you can apply directly.
How to choose the right AI tool for a task
Write the expected deliverable in one sentence, then keep no more than three candidates. Remove any that fail your data and integration constraints. Test the remainder with the same real case and score quality, correction time, cost and ease of exit.
Read the guide →How to research with AI without losing the sources
Use AI to frame questions, expand vocabulary and find leads. Then open the sources and identify author, date, scope and method. Draft only after building a claim-to-source table, and mark what remains uncertain.
Read the guide →Using AI with confidential data: essential controls
Do not send sensitive material to a consumer service without an approved framework. Classify and minimise data, use an approved or local environment, check contracts and logs, then test with fictional data before production.
Read the guide →AI agents and automation: from test to reliable workflow
Start with a frequent, stable and low-risk task. Split it into inputs, transformations, decisions and outputs. Grant minimum permissions, add approval before sending, paying, publishing or deleting, then compare time saved with the cost of errors.
Read the guide →
Write a clear AI brief: from need to verifiable prompt
Start with the deliverable, not the tool. Describe the audience, context and limits, provide only necessary data, specify an output structure and ask the AI to flag uncertainty. Test the same brief on a representative case.
Read the guide →
Evaluate and compare AI tools with a reproducible test
Prepare five to ten representative cases, including edge cases. Freeze inputs and criteria before testing. Record output, errors, human time, cost and recovery effort, retain evidence and plan an exit route.
Read the guide →
Build a reliable, citable RAG knowledge base
Start with a limited corpus and a named owner. Remove stale versions, retain source metadata and permissions, test retrieval separately from generation, display cited passages and teach the system to say when the corpus is insufficient.
Read the guide →
Deploy a local AI model: requirements, hardware and controls
Start with a precise use case and a small test set. Choose the smallest model that reaches the required quality, measure memory, speed and power on real hardware, check the licence, isolate the service and document updates, backups and shutdown.
Read the guide →
AI assistant, API or local model: choose the right architecture
Use an assistant for immediate human work, an API for a controlled product feature, and a local model when environmental control justifies the operational burden. Validate every option on the same cases with the same data, cost and quality requirements.
Read the guide →
Produce AI images, video and voice without losing control
Define message, audience, format and rights before generating. Produce a small number of directed variants, retain sources, check anatomy, text, voice and continuity, then export a master and document the transformations.
Read the guide →
Build useful AI governance for a team
Inventory real uses, classify them by consequence, assign an owner and define proportionate controls. Centralise provider evidence, train with examples, then track incidents, exceptions and outcomes rather than licence counts.
Read the guide →
Calculate the real cost and ROI of an AI tool
Measure the task without AI, then run a bounded pilot on the same cases. Add every cost and subtract time actually saved after review. Decide across a range of scenarios rather than the best demonstration.
Read the guide →
Design accessible and inclusive AI experiences
Define real users and situations, require a journey that works with keyboards and assistive technology, make outputs understandable in more than one format, then test with affected people. An automated score cannot replace a complete workflow test.
Read the guide →
Select and qualify an AI solution provider
Freeze the need and test cases before vendor meetings. Compare the same offer on quality, data, operations, total cost and reversibility. Put material commitments into the contract, then pilot with limits and stop criteria.
Read the guide →
Train a team and build useful AI adoption
Start with a few frequent, measurable tasks. Train on cleaned real cases, demonstrate failures and checks, provide reusable patterns and human support, then measure quality, net time, confidence and incidents.
Read the guide →
Monitor AI quality and respond to incidents
Define acceptable outcomes and failure signals before production. Log what is necessary without exposing data, sample outputs, alert on consequences and prepare shutdown, degraded service, diagnosis and return to a safe version.
Read the guide →
Translate and localize with AI without losing meaning
Prepare a brief for each market and an approved glossary, translate contextualised segments, check numbers and sensitive terms, then review the result in its final format. Measure corrections on a sample before scaling up.
Read the guide →
Fact-check an AI answer before reusing it
Identify claims that would change your decision. For each, open a primary source, check that it supports the precise statement, review its date and scope, then state the limits of what is established.
Read the guide →
Analyze data with AI while keeping control
Define the question, scope and units. Preserve an untouched copy of the data, request reproducible steps, then independently recalculate the results that support your conclusion.
Read the guide →
Put AI to work in customer support
Start by helping agents find sourced answers. Then test automation on simple questions, with an obvious route to a person and measures of actual resolution.
Read the guide →
Teach and learn with AI without outsourcing understanding
Define an observable skill, provide graduated exercises and ask learners to explain their approach. Check AI explanations and assess the skill without assistance on a comparable task.
Read the guide →
Publish AI-assisted content with real editorial review
Assign an owner, document original sources, check facts and rights, review images and alternative text in context, then set a review date for details that may change.
Read the guide →
Make content useful and visible in AI search
Answer a specific question with original information, show the facts and sources in visible text, then confirm that the page is accessible, indexable and linked to the rest of the site. Measure search outcomes without promising an AI citation.
Read the guide →
Review code produced by an AI agent
Define the goal and boundaries, inspect every changed file, run checks relevant to the change and test at least one failure or edge case. Keep a person responsible for the integration decision.
Read the guide →
Build an evaluation set for a business AI system
Collect anonymized real cases, add edge cases and requests the AI should decline. Define an acceptable output, then compare versions with the same rubric and human review.
Read the guide →Extract PDFs and scans with AI: check text, tables and numbers
OCR recognises characters in an image. Layout analysis reconstructs blocks and tables. Structured extraction assigns values to fields. Success at one stage does not validate the next.
Read the guide →AI transcription and captions: publish faithful, readable text
A transcript is a text document; captions are synchronised with media. For accessibility, W3C guidance also includes useful speaker identification and sounds needed for understanding.
Read the guide →Switch AI tools: test exports and prepare a migration
Downloading a file only proves it was downloaded. Check its contents, open it independently and restore a real use case. Dify documents application exports, for example: inspect the exported scope rather than assuming it.
Read the guide →AI directory & meta search
Choose AI for the task, not the noise.
There is no single perfect tool for every job. A sensible choice depends on the expected outcome, output format, available time, budget and sensitivity of the data. WORLD AI GUIDE brings those landmarks together so that a broad idea can become a concrete, understandable shortlist.
Verifiable research
For monitoring, recent facts or scientific work, prefer engines that clearly show their sources. Open the references, check their dates and compare several documents before relying on an important claim.
Media creation
Images, video, avatars, voice and music follow different workflows. Compare quality, generation time, editing options, export formats and usage rights before committing to a service.
Sensitive data
For contracts, internal files or personal information, look beyond performance. Local, self-hosted or enterprise services may offer more control, but still require technical and contractual checks.
What is an AI meta search engine?
It is a starting point that examines one task and routes it towards several specialised engines. WORLD AI GUIDE does not replace their models: it helps explain which one to try first and opens the relevant official service.
How are services ranked?
Ranking considers fit with the words in the task, speciality, status, editorial quality and the ability to launch a search. It is contextual guidance, not a universal league table.
Does WORLD AI GUIDE host these tools?
No. WORLD AI GUIDE is an independent directory. Searches and accounts are handled by third-party services once you open their official websites, where their own terms and policies apply.
Should I always choose the first result?
Not necessarily. The first result is a useful starting point, but the next two or three options may better suit your budget, workflow or privacy needs. A short test often makes the difference clear.
How should I describe a useful task?
State the outcome, audience, format, available material and constraints. For example: create a ten-slide presentation from my notes, in plain language, without sending confidential data.