One substrate. Three products.
Three products. One substrate. Built so AI builds are reliable, replayable, and ready to ship — by construction, not by faith. Build agents that know your data, and it gets better with every build.
Pick the entry path that matches your problem. The pipeline, the validation tiers, the forensics — that's the same underneath. What changes is where you enter.
Greenfield (idea → PRD → live product) and brownfield (import an existing repo, audit, enhance, renovate). Two co-equal entry paths. One stack underneath.
BaseAgent + T0–T3 tiered validation + circuit breaker (monotonic + same-state) + validation contracts + capability DAG. Author your own agent against the version-stable init8_sdk— the same seam init8's own agents run on. Reliability primitives for teams building their own agentic systems.
Verdicts. Retries as first-class groups. Monotonic-progress trajectories. Artifact-chain provenance. What your pipeline actually did, and why.
Cursor, v0, Lovable, Bolt — they ship a convincing 70% of a production app, then stall on the parts that decide whether anyone can actually rely on it. init8 closes the remaining 30% by construction.
Pick the one that matches what you want to do today. The substrate is the same; the entry path is yours.
Describe an app idea in plain language. init8's pipeline drafts the PRD, picks a stack, generates the code, runs the tests, deploys. Watch every step in real time and approve at gates.
Launch a buildPoint init8 at an existing repository. It imports the codebase, runs an audit (architecture / security / quality), then enhances or renovates per your direction. No rewrite required.
Get early accessScaffold a new agent with one command. The framework handles the boilerplate (BaseAgent, validation tiers, monotonic scorer, retries) — you write the run() body, prompts, and tests. The version-stable init8_sdkis available today; init8's own agents run on the same seam.
Verdict-aware traces, retry trajectories, artifact provenance, per-step cost roll-up. Standalone or paired with the Studio. Open a real trace to see exactly what an init8-built run looks like.
Open a real traceSubmit builds, watch live SSE events, fetch trace + forensics — all over a versioned JSON-RPC + REST surface. Bearer-token auth, per-tenant rate limits, OpenAPI spec.
See statusWhat sets Init8 apart from other AI-product frameworks. Principles describe how Init8 builds; differentiators describe what users get.
We call this loop PACE — Prevent · Assess · Correct · Evolve. Read the philosophy →
PACE was coined by init8's founder (Yaser Irfan); init8 is the first product built on PACE principles.
Every prompt, every retry, every verdict persists to local SQLite + a grep-able YAML mirror. Re-examine any past build offline, in any IDE, at any time, without spending a token.
Every agent output flows through T0 → T3. Retries must demonstrably improve — the scorer must strictly progress, or the circuit breaker aborts.
Every capability is declared in YAML. No model name, provider, framework, or cost constant lives in code. Swap LLM provider, framework, or deploy target without touching agents.
Schema-first prevention. T0–T3 assessment gates on what survives. Bounded correction for what fails. ASSIMIL8 feeds every failure back into the Evolve loop — PACE, init8's unifying philosophy. Optimized for time-to-trustworthy, not time-to-demo.
Most real-world software is brownfield. Init8 imports existing codebases (Lovable, Bolt, v0, arbitrary Git) and threads in RAG, agent features, or validation layers as additive work — no rewrite tax.
Each audience leads with a different value proposition — the substrate is the same. Pick the lens that fits.
You have an idea. You can describe it, but you can't ship it alone. init8 turns plain-language intent into a PRD, picks the stack, generates code, runs T0–T2 tests, and deploys — with gates you approve at each step. Want an assistant over your own content? Build an agent that knows your stuff.
init8 closes the engineering gap between AI demo and shipped product. It does not promise product-market fit. It does not promise that any specific product will succeed in market.
The substrate is what gets you over the 70% wall — the remaining 30% (security, infra, maintainability, post-launch) is closed by construction, not by faith.
Tell us which surface you want and we'll send a one-line ping when your door is live. No nurture sequences, no drip.