AI tools, models and workflow intelligence

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Independent. Task-led. Continuously evaluated.

Find the AI tool that earns its place in your workflow.

Independent evaluation methods, capability maps and practical workflows for choosing AI with confidence.

Explore guides →Start with your use case

◉Hands-on tasksReal inputs. Clear results.
◎Auditable methodsCriteria you can inspect.
✓Dated reviewsChanges trigger evaluation.

Evaluation guides this week

AI assistant task evaluation

Assistants

Task-fit assistant

Completion, evidence, privacy.

5 criteria

Citation-aware AI research

Research

Citation-aware research

Sources remain the evidence.

5 checks

Responsible AI image workflow

Creative

Responsible images

Rights, review, provenance.

5 gates

Human approval in an AI workflow

Automation

Human approval

Context before consequence.

Stop-safe

AI agent permission boundaries

Safety

Agent permissions

Least privilege and limits.

Auditable

Start with your use case

All use cases →

⌕ Market researchFind insights and trends ◇ Content creationArticles, image and video ▥ Data analysisClean, evaluate, visualise ▧ Video productionEdit, caption, publish ♙ Team supportAssist with accountability ⌘ Knowledge workflowGround and cite answers

Task capability matrix

Compare methods →

Evidence layer	Assistant	Research	Creative	Workflow	Agent
Task reference	Required	Required	Brief	Required	Required
Repeat runs	Useful	Useful	Required	Required	Required
Source check	When factual	Always	Rights	Grounding	All tools
Human gate	By consequence	Claims	Publish	Side effects	Consequential
Recovery	Manual route	Source record	Withdraw	Rollback	Kill switch

Methods describe evidence requirements; they are not vendor scores.

Build your AI stack

⌕ResearchFind and cite→◇DraftConstrained output→▧ReviewHuman approval→▶PublishTraceable action

Quality: Task pass rules
Cost: Complete workflow
Complexity: Human-operable
Fallback: Manual and tested

Agent permissions and safety

Configure method

5permission layers

◎ Web access Scoped
▤ File system Limited
⌘ Code execution Restricted
✉ Email access Approval
▣ Payment action Blocked

Evaluation sequence

Define tasks

Freeze tests

Repeat runs

Review failures

Prove rollback

Bar lengths show protocol order, not product performance.

Latest AI industry guides

See all guides →

AI evaluation set

How to build an evaluation setTask evidence, not hype.

Grounded retrieval workflow

Grounded answers with citationsRetrieval is only the start.

Agent safety permissions

Practical agent permissionsTools, limits and approvals.

Model evaluation trade-offs

Quality, latency and costKeep trade-offs visible.

Our evaluation protocol

1Define real tasksPractical, reproducible use cases.
2Standardise testsControlled inputs, multiple runs.
3Expert reviewQuality, usability and safety.
4Continuous updatesNew versions trigger evaluation.

Trusted, independent and transparent

♢

No pay-to-play

No payment for rankings or coverage.

⌘

Open methodology

Criteria are public and auditable.

♙

Human accountability

Consequential output remains reviewed.