AI Context Engineering_
Context Engineering for Accurate AI.
Not Confident Guesses.
AI sounds sure even when it's guessing. We structure your business knowledge so AI gets the full picture before it answers.
Free for now · 1 hour, live and human to human. No business-in-a-box.
What happens in your Growth Audit
- One hour, live and human to human.
- We test how AI handles your terms, products and policies.
- We pinpoint what isn't working, and why.
- We brainstorm how our systems plug into your business model, industry, niche and market.
- Free for now. It becomes a paid service later.
From Naples to Metro Detroit: some of the businesses we've built for
The 60-Second Version_
Rather watch than read? Here's the 60-second version.
Watch the quick version, then skim the details below. Ready now? Your Growth Audit is one click away.
Free for now · 1 hour, live and human to human.
Context is what AI reads before it answers you_
Context is not a data dump.
It is a structured brief.
Most agencies sell a ChatGPT subscription and a folder of uploads. Paste in everything, ask a question, and hope it works.
Nobody can promise an AI that never gets anything wrong. The model makers control how it reasons. We control what it's given.
We refuse to be yes men.
We build the context AI works from instead: your terms defined, your facts in order, and clear rules for what to use and what to ignore.
That means a knowledge audit, a glossary and taxonomy (how your topics group together), entity maps that show how your products, people and policies connect, layered prompt templates, and output rules.
Build it right once, and it compounds.
What is Context Engineering?
Without context, even smart AI acts like a clueless new hire.
Hand a smart new assistant a task on day one with no background. They won't ask questions. They'll guess, sound sure and get it wrong.
AI does the same. Context engineering gives it the full picture.
It's the defined terms, organized facts and clear instructions AI reads before it answers, so it reasons from your business, not a guess.
Without it? AI mixes up your product names, borrows a competitor's definitions and quotes last year's policy. It sounds confident the whole time, so nobody catches it.
More data isn't the same as more context.
Data dump: everything at once
Every file pasted in one pile. AI grabs whatever looks close and fills the gaps.
Context: the full picture
Defined terms, labeled sources and clear rules, so AI answers from your facts.
Context engineering makes sure AI knows your words, your facts and your rules before it says a thing.
Context Infrastructure, Not Data Dumps_
We don't give AI more data. We give it order.
If your AI tool keeps getting your business wrong, the model is rarely the problem. It's usually what it was given: messy documents, conflicting versions, and terms it was never taught.
We don't just paste in more files and hope it learns.
We find what AI misreads about your business, structure the knowledge underneath, and test it on real questions.
This is where Solve Design Create shines.
Feature / Approach
Typical Agency (The Data Dump Approach)
SDC Context System (The Structured Approach)
Source Material
Typical Agency:
- Every file uploaded as-is, old versions included
SDC System:
- One reviewed set of sources, with conflicts and outdated copies removed
Terminology
Typical Agency:
- AI left to guess what your industry terms mean
SDC System:
- A defined glossary so your niche terms mean one thing, every time
Structure
Typical Agency:
- Long, unlabeled text blocks pasted into a chat
SDC System:
- A taxonomy and entity map showing how all your facts connect
Instructions
Typical Agency:
- One long prompt that changes every time someone types
SDC System:
- Layered templates: identity, setting, reference, request, quality
Reference Data
Typical Agency:
- Pasted documents the AI mistakes for instructions
SDC System:
- Reference material fenced off so AI reads it as data, not orders
Accuracy Checks
Typical Agency:
- Trusted because the answer sounded confident
SDC System:
- Real questions tested against your sources, with fixes logged
Why Most AI Context Fails_
AI context fails when it's treated as a pile of files instead of a brief AI can follow.
That's why we say we have two types of clients:
- Ones whose AI doesn't speak their industry.
- Ones who uploaded everything and still get guesses.
Time and time again, clients come to us with the same problems:
Terms the AI never learned
Your industry has its own words. Generic AI fills them in with everyday meanings and gets your niche wrong.
Documents that disagree
Three versions of the same policy give AI three answers to pick from. It won't tell you which one it chose.
Whatever goes in last wins
AI leans on whatever it read last, like the top paper on a messy desk. We label and order your facts so the right ones win.
Data mistaken for orders
Paste in a document full of to-do notes and AI may follow them. It can't always tell reference material from instructions.
Nobody checks the answers
AI sounds just as sure when it's wrong. Without testing on real questions, mistakes reach your customers before they reach you.
Sound familiar? Your Growth Audit pinpoints which of these is holding you back.
What We Build_
Seven building blocks. One knowledge structure.
Every context engineering project starts with the questions your AI has to answer, not a pile of uploads. We look at what you need AI to understand, which sources hold the truth, and where answers go wrong today.
01 · Knowledge Audit and Gap Testing
We find out what AI gets wrong today.
We ask your AI tools the questions your customers and staff ask, then list every term, fact and policy they miss or mix up.
02 · Source Review and Cleanup
We pick one source of truth for each fact.
We catalog your documents, flag conflicting and outdated versions, and strip out repeated filler text, so AI only reads what's current and correct.
03 · Glossary and Taxonomy
We teach AI the words your industry uses.
Every niche term, product name and abbreviation gets one plain definition, grouped into a taxonomy so AI knows which topics belong together.
04 · Entity Relationship Map
We show AI how your business fits together.
We map how your services, products, people, locations and policies connect, so AI stops pinning one fact on the wrong thing.
05 · Layered Context Templates
Every request arrives in the same order.
Templates stack who the AI is, where it works, the reference it may use, the request and the quality bar, with hard rules on what never to do.
06 · Retrieval Context and Labels
AI gets the right facts, clearly marked.
We set how your content is split, labeled and pulled into each answer, and wrap reference material so AI treats it as data, not instructions.
07 · Accuracy Testing and Upkeep
Context goes stale. We keep it current.
We test real questions against your sources, log every miss and fix it in the context itself, then update terms and facts as your business changes.
Which block is missing from yours?
Your Growth Audit finds the gap, live, in one hour.
Free for now · 1 hour, live and human to human.
What Success Actually Looks Like_
We don't measure context engineering by how many files AI can read.
We measure whether AI uses your terms correctly, answers real questions from the right source, and admits when it doesn't know. We review the results with you after each round of testing.
What we measure instead:
Industry terms used the way your team uses them.
Answers traced to the right source document.
Fewer mix-ups between products, people and places.
One current version of each fact, with conflicts cleared.
An honest 'I don't know' instead of a confident guess.
Results_
Receipts, not promises.
Any agency that promises you rankings is telling you what you want to hear. We build the system, then we track what it does. Here's the goal, what we built, and what happened.
Figures come from client analytics and rankings reviewed in our client meetings. Your results depend on your market and starting point.
Case Studies_
Read the full builds.
Each case study connects the business problem to the system we designed, built and put to work.
When Brooks Burgers partnered with Solve Design Create, the goal wasn’t to change who they were; it was to amplify everything that made them unforgettable.
Reviews_
Real clients. Real reviews. 5.0 from 40 on Google.
★★★★★
★★★★★
★★★★★
FAQ_
Straight answers.
Can you promise AI won't make mistakes?
No. The model makers control how AI reasons, and anyone promising a perfect AI is guessing. We guarantee the work: clean sources, defined terms, structured context and honest testing. Then we show you what it still gets wrong.
Isn't this just a better prompt?
No. A prompt is the question. Context is everything AI knows when it reads the question: your terms, your facts and the rules for using them. Prompt engineering shapes the question itself.
Do we own the context you build?
Yes. Your glossary, entity maps, templates and cleaned sources belong to you: 100% asset ownership, no hostages and no hidden dependencies.
How is context engineering different from Custom RAG?
Custom RAG (retrieval-augmented generation) pulls your documents into AI answers. Context engineering prepares what it pulls: clean sources, defined terms and clear rules.
What kind of business knowledge can you structure?
Policy manuals, product catalogs, knowledge bases, standard procedures and service notes. If your team looks it up to answer a customer, AI can use it too, once it's organized.
Can you help a business outside Naples?
Yes. This work happens inside your documents and AI tools, not on location, so distance rarely matters. We're based in Naples, Florida, and we'll confirm the fit on your Growth Audit.
The Growth Audit_
One hour. Real humans. A plan shaped around your business.
It's how we analyze the opportunity with you, live: what's working, what isn't, and how our systems can plug into your business model. Not business-in-a-box. A custom plan for your needs, your industry, your niche and your market.
1 · Request your audit
Tell us about your business in the form below. We'll follow up to book your hour.
2 · Meet live, human to human
One hour together, live and human to human, digging into what's working, what isn't, and why.
3 · Leave with a custom game plan
We brainstorm how our systems fit your needs, your wants, your industry, your niche and your market.
- Free for now. It becomes a paid service later.
- You own everything we build. No vendor lock-in.
- We don't take every project. If we're not the right fit, we'll tell you.
Ready to get started?
Give your AI the full picture. We'd love to help your brand.
Free for now · 1 hour, live and human to human.
Free Growth Audit_
If your current marketing actually worked,
One hour, live and human to human. We look at what's working, what isn't, and how our systems can plug into your business model. Not business-in-a-box.
What happens next_
- Send the form.
- We get you on the calendar.
- We meet live for one hour, human to human.
- 5.0 on Google · 40 reviews
- 12 years in business
- 500+ projects
Reach us_
Request your Growth Audit
Free for now. It becomes a paid service later.
- We reach out within one business day.
What happens next_
- Send the form.
- We get you on the calendar.
- We meet live for one hour, human to human.
- 5.0 on Google · 40 reviews
- 12 years in business
- 500+ projects
Reach us_
