Unsolicited sample · 19/20
A service lab for the next interface
Make your business legible to AI.
Taz turns scattered websites, knowledge, and operating rules into clear source material for customers, teams, AI agents, and answer engines.
Commerce, knowledge, evals, governance, post-training, architecture, and applied AI.
Source material
Answer-ready
ContextPolicyProof
Taz / Field note 01Human approved
Clear enough to act on.
Where we begin
The work starts where an agent gets confused.
Each engagement produces a bounded, reviewable artifact. We start with the source material that matters, make the gaps explicit, and leave an implementation path behind.
01Agent-Ready Commerce CleanupProducts, policies, FAQs, support answers, and implementation priorities for stores and catalog businesses.
02Open Knowledge Format ReadinessTurn fragmented operating knowledge into portable, human-readable source bundles.
03AI Eval And GuardrailsMake agent behavior testable before it touches customers, systems, or sensitive decisions.
04AI Cost And Context AuditFind context bloat, brittle routing, and approval gaps before they become operating drag.
05AI Post-TrainingTask-specific evals, feedback loops, and iterative quality improvement for business AI models.
06AI ArchitectureWorkspace design, model routing, tool orchestration, retrieval pipelines, and approval flows.
07Taz Applied AI StudioBounded product, data, design, and subjective-domain work for judgment-heavy workflows.
Proof, not promises
Real store audits, scored in public.
Unsolicited samples: public spot-checks Taz produced on its own initiative, without any engagement or relationship with the named store.
Unsolicited sample · 19/20
anveshan.farm store readiness audit
Open the auditUnsolicited sample · 18/20
getmaude.com store readiness audit
Open the auditTry it yourself
Get a spot check on your own store or knowledge base.
The operating picture
What Taz makes visible before it changes a workflow.
Every engagement starts with source material, a named decision, and a way to measure whether the next version is more usable.
- Manual effort
- Baseline, then compare
- Evidence coverage
- Trace it to a source
- Approval control
- Keep the owner visible
- Security posture
- Surface the stop points
Measure after a real baseline, not client results
- Source before summary
- Decision before automation
- Review before repeat
The method
Less presentation. More usable truth.
We do not treat a polished page as the finish line. The work has to be understandable, reviewable, and usable in the actual systems around it.
Tell us what is getting lost- 01Read the source
Find the documents, pages, policies, and workflows that people already depend on.
- 02Expose the gaps
Separate missing information, contradictions, weak structure, and decisions that need an owner.
- 03Build the artifact
Deliver clearer source material, an implementation map, and the proof of what changed.
- 04Retest the slice
Verify the first real use case before recommending broader work.
For the open web
Answers need a source.
Taz is built with dedicated service pages, direct answers, visible caveats, internal links, accurate structured data, and a sitemap. Those are the durable search signals we can control.
Its agent-readable summary is an extra public map for compatible tools, not special Google AI Mode markup. We cannot control AI Mode, rankings, traffic, or inclusion.
Read direct answersSee how this applies by industry or read the insights behind it.
What is Taz?
Taz is the public service site for Taz Business Solutions. It produces bounded, reviewable artifacts that make websites, catalogs, operating knowledge, and AI workflows clearer for agents, search engines, and the teams that approve them.
What does Taz cost?
Pricing depends on the service. Commerce cleanup packs start at $1,000. AI eval audits range from $2,000 to $7,500. Post-training and architecture engagements are scoped per workflow. All pricing is for fixed-scope artifacts, not open-ended consulting.
Where should we start?
Start with the one site, knowledge folder, agent, or workflow that creates the most confusion today. Book a 30-minute call and bring one example.
Can you guarantee visibility in Google AI Mode?
No. We can improve the underlying content and technical signals, but cannot guarantee ranking, traffic, inclusion, or placement in Google AI Mode.
How do we contact you?
Book a time for a 30-minute call, or email contact@aitaz.com with the thing you want reviewed.
A clear first move