Diagnosis · Tool selection
How we choose the right AI tool for your case
There is no single tool. Our assessment matches the best use case to the best market tool — vendor-neutral, with cost, risk and privacy made explicit, without locking you into one brand.
Step 1 · Diagnosis
Where your company stands on the maturity ladder
The key question in the assessment is "Which statement best describes you today?":
- Level 0 — We don’t use AI yet
- Level 1 — We use AI individually (ChatGPT, Gemini, etc.), with no standard
- Level 2 — We have defined AI uses in some processes
- Level 3 — We have AI integrated into our systems
- Level 4 — We have AI agents automating processes end to end
Step 2 · Tools
Market tools we already use in the assessment
One use-case line for each. The right mix depends on your scenario.
- Claude CodeAnthropicCoding agent working in repositories, with human review.
- CodexOpenAICode generation and refactoring built into the dev workflow.
- Grok BotxAIIn-editor coding assistance (Cursor) for focused tasks.
- n8nn8nLow-code automation and integration between systems and APIs.
- DevinCognitionAutonomous agent for end-to-end engineering tasks.
- KiroAWSAgentic IDE for assisted development on AWS.
- ManusManusGeneral-purpose agent for research and execution tasks.
- ReplitReplitEnvironment and agent for fast web prototypes.
- GeminiGoogleMultimodal model for text, code and document analysis.
- PerplexityPerplexityAI search with sourced answers, for assisted research.
- CursorAnysphereIDE with agents in the daily coding flow — where ZeraTech orchestrates and validates what other agents produce.
- Amazon BedrockAWSAmazon Bedrock, when the safest path is to run managed models inside your own AWS account.
We are not a reseller or an official partner of these brands: we use each one in practice and recommend it for what serves your case.
Step 3 · Criteria
How we decide: impact × effort × risk × privacy × cost
- ImpactHow much time the case saves or value it creates. We prioritize the clearest return.
- EffortWhat it costs to build and maintain: integration, data and operation.
- RiskTool maturity, vendor lock-in and how reversible the choice is.
- PrivacyWhere the data travels and lives; when it is better to run in your own AWS account (Amazon Bedrock).
- CostUsage-based price, limits and predictability, estimated before we start.
- AdoptionHow quickly the team can use it day to day: training, friction and the chance it becomes a habit.
Shall we find the right tool for you?
The short "AI & Automation assessment" form is the first step. From there, the recommendation is already tied to your case, with cost and risk.
Take the AI & Automation assessment (opens in a new tab)