Not "generating..." with a spinner. Not a progress bar lying to you. You actually watch your idea take shape — phase by phase, decision by decision, in real time.
Epalith turns a sentence into a live app while you watch.
You pull the lever, wait, and hope what comes out doesn't suck. When it does — and it usually does — you have no idea why. You can't fix it. You can't learn from it. You just pull the lever again.
Epalith is a glass box.
You see the plan before a single line of code gets written. You see the scaffold lock into place. You see the code emerge file by file. If something goes wrong, you know exactly where and exactly why — because you were watching the whole time.
That changes everything. Not just the output. The feeling. The difference between being a passenger and being a pilot.
Type a prompt. Watch 6 phases execute in real time. Every decision visible.
Regulated industries can't ship AI that fails silently. Epalith was built for that constraint from the ground up.
Six defined phases execute in the same order, every time. You see INTENT GATE → PLAN → SCAFFOLD → CODE → SAVE → VERIFY. You know what happened at phase 3 without guessing. Progress you can see, not hope for.
Every decision has a traceable origin. Regulators, auditors, and compliance teams see exactly what happened and why. View Trace = a complete DAG of every choice made during execution. No "the model decided."
4-layer data architecture means Epalith learns from every run in your context — your code, your conventions, your domain. Not generic improvement. Compounding intelligence specific to your company.
10 trial credits gets you through the full pipeline. Upgrade when you want unlimited builds, priority queue, and GitHub integration.
Every task flows through this exact sequence. You can watch each phase progress in real time. The pipeline IS the audit log.
Validates the request before anything executes. Ambiguous or unsafe tasks are rejected here — with an explanation. Nothing runs until the intent is clear and within scope.
Structured execution plan produced from the validated intent. Every step explicit. Every decision visible before a single line of code is written. You can read the plan and disagree before it runs.
Architecture, file structure, schemas, and dependencies laid out against the plan. The shape of the output is visible before implementation begins — not a surprise at the end.
Implementation executed against the scaffold and plan. Actual output — not suggestions, not completions. Every generated artifact traces back to a specific scaffold node and plan step.
Everything committed, versioned, and persisted. Nothing lives in a temporary session. Every file written is recorded with its originating phase, timestamp, and reasoning reference.
Automated validation confirms output matches the plan. Tests run. Quality gates pass. Discrepancies are logged — not silently swallowed. The trace is complete and immutable.
AI autonomy your compliance team will actually approve. Not because we say so — because you can show them the trace.
Legal, finance, and healthcare teams can't ship AI that can't explain itself. Epalith doesn't ask you to trust the model — it asks you to read the trace.
Other tools bet on the model getting it right. Epalith constrains what it can do — and shows you every constraint it respected.
Agents that fail silently, hallucinate dependencies, and hide their errors behind a "done" message aren't autonomous — they're gambling with your time. Hidden costs aren't features.
Powerful models with zero structure produce confident wrong answers. No phase gating, no audit trail, no causal trace. A chat window is not an execution engine.
The AI executes within constraints you can see. The pipeline enforces the constraints. The trace proves they were respected. That's the glass box.
Sign up, watch a real task execute immediately. No tour. No empty dashboard. The pipeline is the onboarding.
No tours. No empty dashboards. Your first experience is a live pipeline run.
One sentence in. Live app out. Everything visible in between.