Generic assistants ignore your context
Without an explicit, tested source connection, a model does not know which approved procedure applies and may answer outside the company’s operating rules.
Internal AI Builder for private team tools
Structure an internal assistant before you connect private company data
Describe the internal workflow you want to automate — policy questions, approval routing, procedure lookup. E-Code turns that scope into editable source code with source adapters, roles, states, and audit-event models you can inspect. Run the interface in Preview, then connect identity, storage, private procedures, and review every control before rollout.
Start from the internal task your team repeats every week. Source files, the running interface, and proposed access rules remain visible while the tool evolves.
Private workspace
Answer HR policy questions and route approvals in one place.
A private internal assistant that answers procedure questions and moves approval requests to the right owner.
Recent requests
- Parental leave — policyApproved
- Remote work — exception
- Expense limit — clarification
This inline demonstration shows a request list, an approvals view, and a governance panel in one responsive layout.
From scattered procedures to a governed internal tool
Internal AI looks easy until private context, access, and audit get real
A team wants an assistant that uses its procedures and routes work to the right owner. A generic chat surface does not automatically connect trusted internal sources, enforce company identity, or create the durable audit record an internal tool needs.
Hosted tools impose their data path
A vendor platform brings its own storage, retention, and access model. Security teams still need to verify where documents go and who can retrieve them.
Governance is an afterthought
Access control, approval routing, and an audit trail get bolted on late, if at all, and the underlying logic is rarely yours to inspect.
E-Code starts from the workflow you describe and creates an internal-assistant project in real source files. You inspect the modeled source, access, routing, and audit paths in Preview, then connect the systems and enforce the controls required by your environment.
One prompt starts the assistant
Describe the workflow, not the plumbing
The request below reads like a note from an operations lead. The four items map its implementation scope in real source files, with governance in view from the start.
Example prompt
Build an internal agent that searches our HR procedures, available only to my teams.
- 01
Private context grounding
A source-adapter boundary models where approved procedures enter the assistant. Your documents are not connected by this page; choose the source, permissions, and retrieval checks before use.
- 02
Approval routing
Requests are modeled with owners, states, and a routing path. Connect persistence and notifications, then test reassignment, retries, and failure handling.
- 03
Access and audit
Role checks and audit events are represented in source code for review. They are not proof of enforced authentication, immutable logging, or authorization coverage.
- 04
Preview and export
E-Code runs the project interface in Preview across screen sizes and keeps the source exportable. Preview does not certify a private or production-ready deployment.
Prompt → agent → Preview
Use a documented E-Code run as workflow evidence, not as an internal-security claim
These IDE captures belong to the real App Builder salon-booking run. They show a prompt, Agent activity, generated files, Preview, and a correction cycle inside E-Code. The PeopleOps Assistant shown above is a scripted, fictional interface and was not captured from an internal-AI generation.
This salon App Builder capture verifies the E-Code workspace and its generated booking Preview. It does not demonstrate an HR assistant, a private-document connection, authentication, role enforcement, or a production audit store.
Inspect the full-size salon workflow capture
A second App Builder image shows the Agent receiving a router-error follow-up beside the salon project. That is evidence of an inspectable repair loop, not evidence that the fictional PeopleOps access and audit flows were generated or security-tested.
Inspect the full-size salon workflow captureWhat you receive
A traceable internal-tool project with honest deployment boundaries
The generated project exposes its source, procedure-adapter seam, responsive workspace, and release options. A static review surface can publish through E-Code; private data operations still belong in a separately secured runtime.
Reviewable, portable project files
Components, routes, workflow state, and policy structures remain readable and exportable for your repository and review process.
Procedure adapter in plain sight
The connection seam for approved procedures is visible in the source. Add the real store only after defining permissions and validating retrieval against your own documents.
Responsive workspace running in Preview
Review request and policy screens across mobile, tablet, and desktop. Preview demonstrates the interface, not connected private documents, company authentication, or enforced authorization.
Guided release for supported static builds
E-Code guides publishing when the generated internal-tool surface is a supported static build. That path does not turn modeled data or security rules into running backend services.
E-Code URL for static review
Put a compatible static review surface on an E-Code live URL. Any private lookup, approval write, identity check, or durable event requires the exported code and a backend runtime deployed under the required controls.
Agent conversation as the change loop
Describe the next policy or workflow adjustment, review the affected source files, and verify the updated interface in Preview before advancing.
Built for private internal tools
The internal workflow in code, with security work kept explicit
The Internal AI Builder path keeps source boundaries, governance rules, and iteration visible without claiming that a Preview supplies production security.
Procedure-grounded answers
A retrieval boundary identifies the connection point for approved procedures; grounding quality still requires evaluation against your corpus.
Approval routing
Owners and states express the intended path; persistence, notifications, and failure recovery remain integrations to test.
Access-rule scaffolding
Define who may ask, approve, and read as inspectable policy logic, then enforce it through real authentication and server checks.
Audit event scaffolding
Model the events that matter, then route them to tamper-resistant storage with the retention and access rules your organization requires.
Responsive by default
The interface adapts from wide desktop to phone without a separate mobile build.
Exportable source
Export the project for your chosen hosting path, then apply your organization’s deployment, privacy, and security controls.
Who builds with it
Four internal workflows to structure before rollout
From HR procedure search to request intake, these scenarios define inspectable starting points; governance becomes real only after identity, data, audit, and security validation.
HR procedures assistant
Answer policy questions and route leave, exception, and approval requests.
Internal help desk
Surface IT, finance, and operations procedures with routing to the right owner.
Onboarding and knowledge tools
Guide new hires through processes grounded in your internal documentation.
Approval and request flows
Model structured request paths with owners, states, and an audit trail.
Common questions
Internal AI Builder, answered honestly
What the Internal AI Builder path produces, and where its boundaries are.
Do I get real code or a locked platform?+
You get editable source files for components, routes, policy logic, and content that you can read, version, and export. Connected models, identity providers, data stores, and hosts keep their own terms and constraints.
How does it use our private procedures?+
The project can model an adapter for procedure retrieval, but this page connects no documents, model, or data source. You choose the corpus and provider, restrict access, and evaluate retrieval and answers before employees use it.
Can I control access and see an audit trail?+
The project can model roles, policy checks, and audit events as inspectable code. That is scaffolding, not enforced authentication or an immutable audit trail; connect the required services and test every server-side authorization path.
Is my data private?+
Not by default. Privacy depends on the model, storage, identity, logging, network, and hosting choices in your deployment. The page demo contains only fictional data, and E-Code does not claim a compliance certification for your resulting system.
How do I change the assistant later?+
Edit the files directly or ask the Agent for the next change and review the diff against the running Preview.
Internal AI Builder for private team tools
Describe your assistant and see it running
Turn the internal workflow you have in mind into an editable project, run its interface in Preview, and inspect source, access rules, and audit events before connecting private data or rolling it out.