General-purpose tools produce generic results, and teams spend as long fixing the output as they would writing it.
10 / Generative AI
Generative AI
Generate drafts, content and media that follow your standards, not generic output.
Custom text, image and content generation built on your brand, data and rules.
We collect your best existing output, write down what makes it good, and turn that into prompts, templates and checks that the system follows every time. A person stays in the loop for approval until the drafts earn trust.
What the build includes
A complete production workflow.
Generation workflow
A guided flow from brief to draft, with inputs drawn from your CRM, files or forms.
Brand and tone rules
A style guide encoded as prompts and automatic checks for banned phrases, claims and formatting.
Template and asset library
Reusable structures for documents, posts or images, so output looks like yours.
Approval and edit tracking
A review step that records what editors change, which feeds back into better prompts.
Where it applies
Typical generative ai work.
- →Proposal and letter drafting
- →Product descriptions at catalogue scale
- →Social posts from a content calendar
- →Image variations for ad testing
How a project runs
Four steps, no surprises.
- 01
Discovery call
A short call about the goal and the first workflow or feature worth building.
- 02
Written scope
What is built, which tools it touches, what a person approves, and the timeline, agreed before work starts.
- 03
Build and review
Short iterations connected to your tools, reviewed with your team before anything ships.
- 04
Launch and handoff
Go-live with documentation and an owner on your side. You own what we build.
Technology and fit
Built with the right tools, not every tool.
The exact stack follows the workflow, security requirements, existing systems, and deployment environment.
Technologies
OpenAIClaudeGeminiStable DiffusionPython
Industries
Expected outcomes
- →Drafts that sound like your company
- →Editors fix less and approve more
- →Consistent formatting across documents
- →Content produced from real data, not guesses
- →Clear sign-off before anything goes out
Common questions
Before we scope it.
How do you stop it inventing facts?
We feed it your source material, require it to use that material, and add checks that flag claims with no source. Anything uncertain goes to a reviewer.
Can it match our brand voice?
Yes. We analyse samples of writing you like, write the rules down, and test the output against them. The rules are visible and editable by your team.
Is generated media safe to publish?
We set up a review step and check licence terms of the tools involved. You decide what is auto-approved and what needs a person.
Keep exploring
Related services and technologies.
Related services
Free Audit
Get my free Audit ↗Know what to build first.
We review the workflow, recommend the first build, and give you a rough price range and timeline before you commit.