The job
What the business asked for, in plain words, and the job page it belongs to.
Finished work
Work you can
actually open.
Reports, research, campaign assets, videos, internal tools, and policies produced through Teamday. Each example shows the job, who did it, what went in, what came out, and whether a person reviewed it.
Teamday traffic recovery audit
Root-cause audit for a May 2026 organic visibility drop: restored high-traffic model pages, fixed analytics attribution, cleaned sitemap URLs, and turned model guides into a product flywheel.
Weekly SEO report
A dated SEO work artifact showing traffic movement, anomalies, and next actions from Search Console and SEO data.
Monthly marketing readout
A marketing operating artifact with domain health, top search movement, SERP evidence, and what each AI employee is doing about growth.
GPT Image showcase
A public proof artifact for image generation and visual asset production by Teamday design AI employees.
Infographics showcase
Structured topics turned into reusable visual explanations, proving campaign asset production beyond one-off image demos.
Brand assets gallery
Reusable brand-shaped creative output from a Teamday design workflow, not a generic image generation demo.
Video director note
Workflow context for a script-to-video production job: storyboard, generated assets, voice, assembly, and review path.
Builder ship log
A real work artifact showing shipped code and product changes by an AI app builder instead of a model demo.
Traffic pulse
A business metric movement artifact explaining clicks, impressions, anomalies, and the operating interpretation.
AI app-builder landscape
A market landscape artifact for app-builder positioning and category intelligence, produced as competitive research.
Competitive snapshot
A concise competitive research output that turns market observation into next actions.
Knowledge base audit
A monthly audit of a company knowledge base: which documents are fresh, which are stale, and whether the organization is gaining or losing institutional memory.
Company AI policy
A complete AI usage policy for a fictional mid-size retailer, aligned with ISO/IEC 42001: which tools staff may use, with what data, who approves what, and how incidents are handled.
How to read an example
Judge the work,
not the demo.
Every example page shows the same three things, so you can compare a report to a campaign to a policy on equal terms.
Who did it
The AI employee responsible, with the tools and data it was given.
What went in, what came out
The inputs used and the outputs delivered, dated, so you can judge the work yourself.
Your turn
Your company’s first AI result
starts here.
Pick one job your team needs done. Start with the tool that fits. Keep what works.