[ FEATURE SCOPING ]
One feature, one outcome, defined before a line of code is written: what it does, what it touches, what a first version leaves out.
Most businesses do not need a new AI product. They need one feature added to the product they already run: a summary that writes itself, a search box that understands the question, a draft that appears instead of a blank page.
Lucid AI ships LLM features directly into your existing codebase, scoped to one outcome and delivered without a rebuild. The model does the reasoning; we do the engineering that makes it fast, grounded in your data, and safe to put in front of customers.
[ WHAT WE DELIVER ]
One feature, one outcome, defined before a line of code is written: what it does, what it touches, what a first version leaves out.
Built inside your existing product and stack, not bolted on as a separate app customers have to leave to use.
Long documents, tickets or records condensed into a usable summary, or a first draft generated for a human to approve, not publish blind.
Search that understands intent, not just keywords, over your own product data, documents or catalogue.
Records, leads or content ranked and tagged automatically against criteria you define, consistently, at a speed no team can match by hand.
Caching, model selection and prompt design tuned so the feature feels instant and the token bill stays predictable at scale.
[ WHERE IT PAYS FOR ITSELF ]
Long records, threads or reports condensed to what a user actually needs to read, saving minutes on every single view.
Customers or staff find the right record by describing it, instead of guessing the exact filter or keyword.
The blank page is gone. A draft appears, a human edits and approves it, and the task that took twenty minutes takes two.
Every lead, ticket or item scored against your rules the moment it arrives, so priority is set before a human even looks.
[ LIVE SYSTEMS / REAL-WORLD APPLICATION ]
SEO INTELLIGENCE PLATFORM
A production SEO intelligence platform on dedicated cloud infrastructure: site crawling, keyword tracking and competitor monitoring behind authenticated access, with AI-generated scoring and summaries built into the product a marketing team logs into every morning.
FINANCE AUTOMATION
An agent feature wired into live accounting data: it reads bank transactions, matches every credit against outstanding invoices, records the payments and flags exceptions for human review. A scoring and matching feature added to a workflow, not a new product replacing it.
[ FREQUENTLY ASKED ]
In most cases yes. If we can work in your codebase or against an API you expose, the feature is built and shipped inside what you already have. A rebuild is only needed if the existing platform genuinely cannot support it, and we will tell you plainly if that is the case.
Every feature is evaluated against real cases before launch, with guardrails on what it can output and a clear fallback when confidence is low. Draft-and-approve features never publish without a human, and scoring features are transparent about why a result landed where it did.
The API call is the easy part. The engineering is in grounding the model in your real data, controlling cost and latency at scale, and handling the failure cases so a bad response never reaches a customer unfiltered. That is the part most "AI features" skip.
A single, well-scoped feature typically ships in weeks, not months. Discovery fixes the scope and price up front, so there is one clear delivery date, not a moving target.
[ START HERE ]
30 minutes, no pitch deck, no obligation. Tell us what's eating your team's time and we'll tell you straight whether AI is the answer, and roughly what it would take.
WHAT YOU GET
A straight answer on whether AI pays off in your business, and what it would take.
RESPONSE TIME
Within one working day