AI stacks: combine tools by task
Choose tools from the result you need. This overview links to seven role-based workflows and helps clarify interfaces, review effort and total cost before adding subscriptions.

Short answer: what is an AI stack?
An AI stack connects tools, data and work steps for a specific task. There is no fixed tool count. Extend existing systems only when a clearly identified gap remains.
McKinsey 2025: 88% of respondents reported regular AI use in at least one business function of their organization. Survey: 1,993 participants. A historical survey finding, not a census of all businesses or a project-return forecast.
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When is a combination worthwhile?
Start with an output and clear acceptance criteria. First check whether an existing tool or simple workflow is sufficient. A combination makes sense when comparison shows better results or it adds a necessary capability.
Include subscriptions, API usage, integration, operations and human review. The overview lists cost components, not current price offers. Verify product access, plans and interfaces for the actual workflow.
Stack overview
Seven roles with possible components and cost drivers. Detail pages explain workflows, limits and selection criteria; they are not a measured ranking.
| Stack | For whom | Core tools | Result | Cost components |
|---|---|---|---|---|
| Marketing agency | Agencies, marketing teams | Components as needed | Accepted output | Usage + operations |
| Video / creator | Creators, social teams | Components as needed | Accepted output | Usage + operations |
| Solo founder | Founders, solopreneurs | Components as needed | Accepted output | Usage + operations |
| Software dev | Dev teams | Cursor / GitHub Copilot / Claude Code | Measure value in a pilot | Plan + usage + team time |
| Sales / outreach | Sales | Clay / Apollo / Claude / HeyGen / n8n / Fireflies | Select by task | Plan + usage + team time |
| Research / knowledge | Analysts, consultants | Task-appropriate tools | Auditable research report | Plan + usage + review |
| SME 'adopt AI' | Mid-market (GDPR) | Product access after assessment | Assessed process selection | Plan + usage + operations |
The 7 stacks in detail
Each stack has its own page with an answer-first explanation, stack table, workflow, common mistakes and FAQ.
Marketing agency
Build around a campaign objective: supported claims, suitable media and accountable approval. Tools are optional components; brand quality requires review.
Video / creator
A video model produces material, not an accepted film. Plan scenes, sound, editing and readability together; measure effort per usable finished minute.
Solo founder
Start with a recurring bottleneck and tools you already have. Add a subscription only when it fills a demonstrated gap and improves the whole workflow.
Software dev
An AI dev stack combines a suitable coding tool with version control, automated tests and human review. Start with a bounded pilot; add subscriptions only when a demonstrated gap requires them.
Sales / outreach
An AI sales stack supports research, drafts and CRM upkeep. Before marketing messages are sent, verify data sources, the permitted channel, consent or an applicable exception, and objections. Automation does not replace these checks.
Research / knowledge
A research stack helps find, organize and analyze material. Reliable results require checking original sources, individual claims and calculations.
SME 'adopt AI'
A suitable AI stack follows the specific process and its data. A provider name, EU headquarters or self-hosting alone does not establish compliant processing.
Prefer to compare single tools?
Compare capabilities, product access and limitations in the alphabetical tool directory, categories and direct comparisons.
Frequently asked questions about AI stacks
Does an AI stack need multiple AI models?
No. One model connected to existing business systems may be sufficient. Additional models add coordination and operating effort. Compare quality, rework, time and total cost with the simpler option.
How do you connect the tools?
Through available, permitted interfaces or deliberate manual handoffs. Check data formats, permissions, limits, error handling and duplicate actions. Self-hosting requires secure operation and does not replace a review of data flows.
What does KI-Agenten.shop provide?
We support selection, integration and pilots. Agree on scope, accountable owners, acceptance criteria, maintenance and support. A running process still needs monitoring, data upkeep and decisions on exceptions.
From use case to a tested workflow
Bring a specific process, existing tools and a measurable goal. Together we can determine whether integration, a small pilot or initial data work is the appropriate next step.
Primary source for the historical survey
Survey findings do not establish the value of a particular agent.
Architecture and operations sources
Start potential analysis
If you want to prioritize a real process, a few clear inputs are enough for a strong first assessment.