diff --git a/skainet-compile/skainet-compile-hlo/src/commonTest/kotlin/sk/ainet/compile/hlo/ArgMaxOperationsConverterTest.kt b/skainet-compile/skainet-compile-hlo/src/commonTest/kotlin/sk/ainet/compile/hlo/ArgMaxOperationsConverterTest.kt
index 31f1b7edc..e164e3db7 100644
--- a/skainet-compile/skainet-compile-hlo/src/commonTest/kotlin/sk/ainet/compile/hlo/ArgMaxOperationsConverterTest.kt
+++ b/skainet-compile/skainet-compile-hlo/src/commonTest/kotlin/sk/ainet/compile/hlo/ArgMaxOperationsConverterTest.kt
@@ -1,14 +1,19 @@
 package sk.ainet.compile.hlo
 
 import sk.ainet.compile.hlo.converters.ArgMaxOperationsConverter
+import sk.ainet.lang.dag.argMax
+import sk.ainet.lang.dag.dag
 import sk.ainet.lang.graph.GraphNode
+import sk.ainet.lang.graph.dsl.toComputeGraph
 import sk.ainet.lang.tensor.Tensor
 import sk.ainet.lang.tensor.ops.Operation
 import sk.ainet.lang.tensor.ops.TensorSpec
 import sk.ainet.lang.tensor.ops.ValidationResult
 import sk.ainet.lang.types.DType
+import sk.ainet.lang.types.FP32
 import kotlin.test.Test
 import kotlin.test.assertEquals
+import kotlin.test.assertFalse
 import kotlin.test.assertIs
 import kotlin.test.assertTrue
 
@@ -57,6 +62,24 @@ class ArgMaxOperationsConverterTest {
         assertTrue(ops.any { it.contains("-> tensor<1x24xi32>") }, "output is the i32 index tensor")
     }
 
+    @Test
+    fun testArgMaxThroughDagBuilderProducesCompilableIr() {
+        // Regression for SKaiNET#876. The dag{} builder path (not just a hand-built node) must infer the
+        // argMax output spec as a REDUCED, i32 index tensor. Before the fix `inferDagOutputSpecs` had no
+        // argMax case, so it echoed operand-0's f32 dtype + full shape; the converter then emitted
+        // `dense<N> : tensor<...xf32>` (an int literal for an f32 constant — iree-compile rejects it) and a
+        // final reduce that didn't collapse the reduced dim (`1x4x8` instead of `1x4`).
+        val program = dag {
+            val x = input<FP32>("logits", TensorSpec("logits", listOf(1, 4, 8), "FP32"))
+            output(argMax(x, 2, "am"))
+        }
+        val mlir = StableHloConverterFactory.createExtended().convert(program.toComputeGraph(), "argmax_dag").content
+
+        assertTrue(mlir.contains("dense<8> : tensor<1x4x8xi32>"), "sentinel must be an i32 tensor:\n$mlir")
+        assertFalse(mlir.contains("dense<8> : tensor<1x4x8xf32>"), "no int-literal f32 constant (the #876 bug):\n$mlir")
+        assertTrue(mlir.contains("-> tensor<1x4xi32>"), "final reduce must collapse to the reduced i32 shape:\n$mlir")
+    }
+
     @Test
     fun testInvalidOperandCount() {
         val operation = createMockOperation("argMax", mapOf("dim" to 1))
diff --git a/skainet-lang/skainet-lang-dag/src/commonMain/kotlin/sk/ainet/lang/dag/GraphDsl.kt b/skainet-lang/skainet-lang-dag/src/commonMain/kotlin/sk/ainet/lang/dag/GraphDsl.kt
index 34eb9cc47..9dc5f5216 100644
--- a/skainet-lang/skainet-lang-dag/src/commonMain/kotlin/sk/ainet/lang/dag/GraphDsl.kt
+++ b/skainet-lang/skainet-lang-dag/src/commonMain/kotlin/sk/ainet/lang/dag/GraphDsl.kt
@@ -173,11 +173,11 @@ public class DagBuilder {
         nodeId: String
     ): List<TensorSpec>? {
         val input = inputs.firstOrNull()?.spec
-        fun spec(shape: List<Int>?): List<TensorSpec> = listOf(
+        fun spec(shape: List<Int>?, dtype: String = input?.dtype ?: "unknown"): List<TensorSpec> = listOf(
             TensorSpec(
                 name = "${nodeId}_out0",
                 shape = shape,
-                dtype = input?.dtype ?: "unknown",
+                dtype = dtype,
                 requiresGrad = input?.requiresGrad ?: false,
             ),
         )
@@ -192,6 +192,17 @@ public class DagBuilder {
                 input ?: return null
                 return spec(reductionOutputShape(input.shape, operation.parameters["dim"] as? Int ?: operation.parameters["axis"] as? Int))
             }
+            "argmax", "argmin" -> {
+                // Index reduction: removes the reduced dim (like sum/mean) AND changes the dtype to an
+                // integer index (i32) — NOT the input's float dtype. Without this the node echoes operand-0's
+                // f32, and the StableHloConverter then emits an int literal for an f32 constant + a final
+                // reduce that doesn't collapse the reduced dim, producing IR iree-compile rejects. (SKaiNET#876)
+                input ?: return null
+                return spec(
+                    reductionOutputShape(input.shape, operation.parameters["dim"] as? Int ?: operation.parameters["axis"] as? Int),
+                    dtype = "Int32",
+                )
+            }
             "reshape", "view" -> {
                 val target = reshapeTargetShape(operation) ?: return null
                 return spec(target)