diff --git a/src/abstract.jl b/src/abstract.jl
index 36fca53..4939ab6 100644
--- a/src/abstract.jl
+++ b/src/abstract.jl
@@ -25,6 +25,32 @@ All subtypes `C` of `AbstractCliffordNumber{Q}` must implement the following fun
 abstract type AbstractCliffordNumber{Q,T<:BaseNumber} <: Number
 end
 
+#---AbstractCliffordNumber passthrough constructors------------------------------------------------#
+
+AbstractCliffordNumber(x::AbstractCliffordNumber) = x
+
+function AbstractCliffordNumber(::BaseNumber)
+    throw(
+        ArgumentError(
+            "When constructing a CliffordNumber from a Real or Complex instance, " *
+            "the algebra type parameter must be specified."
+        )
+    )
+end
+
+function (::Type{<:AbstractCliffordNumber})(::Number)
+    throw(
+        ArgumentError(
+            "Clifford numbers can only be constructed from Real or Complex arguments.\n" *
+            "Support for other types may be provided by a package extension."
+        )
+    )
+end
+
+AbstractCliffordNumber{Q}(x::AbstractCliffordNumber{Q}) where Q = x
+# UNDERSTAND: The type constraint on T is required. Why?
+AbstractCliffordNumber{Q,T}(x::AbstractCliffordNumber{Q,T}) where {Q,T<:BaseNumber} = x
+
 #---Default varargs constructors for types---------------------------------------------------------#
 
 (::Type{T})(x::Vararg{BaseNumber}) where {Q,T<:AbstractCliffordNumber{Q}} = T(x)
@@ -138,6 +164,12 @@ similar_type(x, Q::Val) = similar_type(x, scalar_type(x), Q)
 similar(C::Type{<:AbstractCliffordNumber}, args...) = zero(similar_type(C, args...))
 similar(x::AbstractCliffordNumber, args...) = zero(similar_type(x, args...))
 
+# Perform conversion of the scalar type
+# UNDERSTAND: The type constraint on T is required. Why?
+function AbstractCliffordNumber{Q,T}(x::AbstractCliffordNumber{Q}) where {Q,T<:BaseNumber}
+    return similar_type(x, T)(x)
+end
+
 """
     CliffordNumbers.complement_type(C::Type{<:AbstractCliffordNumber})
     CliffordNumbers.complement_type(x::AbstractCliffordNumber)
diff --git a/src/convert.jl b/src/convert.jl
index a4493f9..c90821a 100644
--- a/src/convert.jl
+++ b/src/convert.jl
@@ -1,5 +1,6 @@
 # Default conversion should check for exact representability
-function convert(T::Type{<:AbstractCliffordNumber}, x::AbstractCliffordNumber)
+function convert(::Type{T}, x::AbstractCliffordNumber) where T<:AbstractCliffordNumber
+    x isa T && return x
     result = T(x)::T
     return (has_grades_of(x, result) ? result : throw(InexactError(:convert, T, x)))
 end
diff --git a/src/kvector.jl b/src/kvector.jl
index 15f3580..e17dde4 100644
--- a/src/kvector.jl
+++ b/src/kvector.jl
@@ -23,6 +23,11 @@ KVector{K,Q}(x::Tuple{Vararg{T}}) where {K,Q,T<:BaseNumber} = KVector{K,Q,T}(x)
 # Automatically convert arguments to a common type
 KVector{K,Q}(x::Tuple{Vararg{BaseNumber}}) where {K,Q} = KVector{K,Q}(promote(x...))
 
+# AbstractCliffordNumber{Q} constructor converts to a `KVector{0,Q}`
+AbstractCliffordNumber{Q}(x::BaseNumber) where Q = KVector{0,Q}(x)
+# UNDERSTAND: The type constraint on T is required. Why?
+AbstractCliffordNumber{Q,T}(x::BaseNumber) where {Q,T<:BaseNumber} = KVector{0,Q,T}(x)
+
 #---Number of elements-----------------------------------------------------------------------------#
 
 nblades(::Type{<:KVector{K,Q}}) where {K,Q} = binomial(dimension(Q), K)
diff --git a/test/construction.jl b/test/construction.jl
index cf7786d..9ee0bd1 100644
--- a/test/construction.jl
+++ b/test/construction.jl
@@ -79,6 +79,21 @@ end
     @test CliffordNumbers.Z2CliffordNumber(k2) === EvenCliffordNumber{VGA(3)}(0, 1, 2, 3)
 end
 
+@testset "Abstract constructors" begin
+    k = KVector{1,VGA(3)}(4, 2, 0)
+    # Things that should work
+    @test AbstractCliffordNumber(k) === k
+    @test AbstractCliffordNumber{VGA(3)}(k) === k
+    @test AbstractCliffordNumber{VGA(3),scalar_type(k)}(k) === k
+    @test AbstractCliffordNumber{VGA(3),Float64}(k) === float(k)
+    @test AbstractCliffordNumber{VGA(3)}(1) === one(KVector{0,VGA(3),Int})
+    @test AbstractCliffordNumber{VGA(3),Float64}(1) === one(KVector{0,VGA(3),Float64})
+    # Things that shouldn't work
+    @test_throws ArgumentError AbstractCliffordNumber(1)
+    @test_throws ArgumentError AbstractCliffordNumber(MockNumber())
+    @test_throws ArgumentError AbstractCliffordNumber{VGA(3)}(MockNumber())
+end
+
 @testset "Similar types" begin
     import CliffordNumbers.similar_type
     @test similar_type(EvenCliffordNumber{VGA(3),Int}, Val(STA)) === EvenCliffordNumber{STA,Int,8}
diff --git a/test/conversion.jl b/test/conversion.jl
index fbc242d..afa1ba6 100644
--- a/test/conversion.jl
+++ b/test/conversion.jl
@@ -24,6 +24,21 @@
     @test scalar_convert(Float32, 2) === Float32(2)
 end
 
+@testset "Abstract conversion" begin
+    k = KVector{1,VGA(3)}(4, 2, 0)
+    # Things that should work
+    @test convert(AbstractCliffordNumber, k) === k
+    @test convert(AbstractCliffordNumber{VGA(3)}, k) === k
+    @test convert(AbstractCliffordNumber{VGA(3),scalar_type(k)}, k) === k
+    @test convert(AbstractCliffordNumber{VGA(3),Float64}, k) === float(k)
+    @test convert(AbstractCliffordNumber{VGA(3)}, 1) === one(KVector{0,VGA(3),Int})
+    @test convert(AbstractCliffordNumber{VGA(3),Float64}, 1) === one(KVector{0,VGA(3),Float64})
+    # Things that shouldn't
+    @test_throws ArgumentError convert(AbstractCliffordNumber, 1)
+    @test_throws ArgumentError convert(AbstractCliffordNumber, MockNumber())
+    @test_throws ArgumentError convert(AbstractCliffordNumber{VGA(3)}, MockNumber())
+end
+
 @testset "Promotion" begin
     @test promote_type(Int, CliffordNumber{VGA(3)}) === CliffordNumber{VGA(3)}
     @test promote_type(Int, CliffordNumber{VGA(3),Float64}) === CliffordNumber{VGA(3),Float64,8}
diff --git a/test/runtests.jl b/test/runtests.jl
index 1d0b014..1f0f0ca 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -9,6 +9,10 @@ Aqua.test_all(CliffordNumbers; unbound_args = false)
 @basis_vars(PGA(3), Int)
 @basis_vars(STA)
 
+# A subtype of Number that does not subtype Real or Complex
+struct MockNumber <: Number
+end
+
 @testset "CliffordNumbers.jl" begin
     include("internals.jl")
     include("metrics.jl")