FancyFDE works inside the business, turning AI, agents and engineering into production capability you can measure, operate and reuse. Not another demo — a delivery path that holds up.
To a working prototype
Validate with real tasks before perfecting the plan.
A typical pilot in production
Integration, permissions, evaluation and launch included.
Code, docs and capability handed over
No artificial vendor lock-in.
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WHY FANCYFDE
Models keep getting stronger, but a business does not improve because an API exists. The gap is use-case selection, system integration, process redesign, adoption and operations. We treat those five as engineering problems.
Define a verifiable business result first. Choose the model and architecture after.
Put the smallest complete loop in front of real users. Let feedback come from use, not meetings.
Deliver code, docs, runbooks and training together so your team can own the outcome.
WHAT WE DO
Enterprise AI, product engineering and agent systems. Engage one team, or run the whole path end to end.
From business diagnosis to embedded delivery, put AI inside real workflows.
Apps, mini programs and games, engineered from zero to launch.
Turn model capability into product you can evaluate and operate.
HOW WE WORK
We resolve uncertainty early. Every stage has a concrete output, and no engagement runs without acceptance criteria.
Interview business and frontline teams. Map workflow, data, systems and constraints. Establish a baseline.
Pick one high-leverage wedge. Build a working prototype in two weeks and test it on real tasks.
Integrate with real systems. Add permissions, exceptions, evaluation and monitoring. Drive daily use.
Train the team, lock in metrics and review the next iteration. Leave the capability inside the organization.
FEATURED PROGRAMS
The value of an AI tool is not the number of licenses. It is whether someone’s working day actually changes. We go deep on two high-frequency entry points.
WORKBUDDY / TEAM AI
From use-case audit and knowledge integration to permissions and role-based training, we configure WorkBuddy into a place the team opens every day.
CODEX / ENGINEERING
Hands-on training on a real codebase: task decomposition, context management, testing, review and security boundaries — codified into a shared engineering standard.
PRODUCT ENGINEERING
Product definition, experience design, cross-platform engineering, backend and launch support under one roof. Less handoff loss, and fewer “great design, broken build” moments.
iOS / Android / React Native / Flutter
WeChat / Alipay / Douyin ecosystems
Cocos / Phaser / interactive play
API / data / payments / admin
AI APPLICATIONS
We assemble models, knowledge, tools and process into AI applications that can be evaluated, observed and maintained. Automate what should be automated; hand the rest to a human.
WHERE IT SHOWS UP
These are the six entry points we see most often. They are not templates, but they help you locate your own problem.
Sales, legal and finance pass files back and forth. Quote cycles are long and clause gaps depend on memory.
Knowledge is scattered across docs, tickets and chat. New agents ramp slowly and answers drift.
Everyone has an AI coding tool, but usage varies and nobody has defined quality or security boundaries.
Bookings, membership and payments still run on spreadsheets. Repeat-purchase data never accumulates.
A campaign needs lightweight interaction, but there is no stable game build or reusable technical plan.
Policies, projects and past decisions are hard to find. Knowledge leaves when long-tenured staff do.
ENGAGEMENT MODELS
You do not need to sign a giant annual program up front. Validate direction at low cost, then decide whether to expand.
For teams that have not decided where to start. Surface opportunities, constraints and priorities in a focused session.
For teams with one clear use case. Go from prototype to a real workflow, accepted at milestones.
For organizations delivering multiple use cases while building internal capability.
Every engagement starts with explicit scope and acceptance criteria. No hidden line items, and no incentive to lock you in.
QUESTIONS, ANSWERED
If your question is not here, email us. We reply within one business day.
Company size is not the primary filter. A ten-person startup or an organization with thousands of people can be a fit if there is a clear business problem, willingness to involve frontline users, and comfort with metric-based acceptance.
A diagnostic workshop takes one to two days. A prototype usually takes two weeks. A pilot inside a real workflow takes four to eight weeks. Apps and mini programs typically take four to sixteen weeks depending on scope, backend complexity and launch requirements.
Outsourcers deliver against a requirements list. We deliver against a business outcome. Scope is defined together after diagnosis, and launch is not the finish line: adoption, metrics and team ownership are part of acceptance.
Yes. Codex team training, AI workshops and WorkBuddy enablement can be standalone engagements. We can add an optional coaching period so the team applies the method to real projects.
We define data boundaries, model providers, log retention and access before work starts. We prefer enterprise APIs or private deployment and can de-identify sensitive data. Client data is not used for model training by default.
Yes. We are based in China, but most delivery works remotely. FDE engagements usually include two to three days of on-site observation, followed by a mix of on-site and remote iterations.
Diagnostic workshops are fixed-fee. Delivery is priced by stage and milestone. Ongoing partnerships are monthly or quarterly. Scope, deliverables and acceptance criteria are explicit before quoting — not a vague day-rate estimate.
Email hello@fancyfde.com. There are no forms, cookies, analytics or advertising scripts on this site, and no visitor information is stored. Email is a conversation you start deliberately.
Start a concrete conversation
Thirty minutes, no pitch. We look at the business goal, the current workflow and your data boundaries before proposing a next step.