Adept Unveils Advanced AI Agents with Multimodal Capabilities

Adept
has
introduced
a
groundbreaking
development
in





artificial
intelligence
with
its
new
AI
agents,
designed
to
streamline
complex
web
interactions
and
enterprise
automations
using
the
custom-built
Adept
Workflow
Language
(AWL).
According
to

Adept.ai,
AWL
is
a
powerful
language
that
enables
users
to
create
sophisticated
workflows
with
ease.

Key
Features
of
Adept’s
AI
Agents

Adept’s
AI
agents
are
engineered
to
be
reliable,
robust,
and
user-friendly.
These
agents
can
translate
user
intent
into
actions,
managing
everything
from
complex
tasks
to
repetitive
chores.
The
agents
are
built
on
a
suite
of
multimodal
models
that
have
been
trained
to
understand
screens,
reason
about
content,
and
make
plans
from
the
earliest
stages
of
training.

Key
characteristics
of
Adept’s
AI
agents
include:

• 
  Reliability:
  The
  agents
  can
  consistently
  execute
  workflows
  while
  staying
  “on
  rails.”
• 
  Robustness:
  They
  are
  resilient
  to
  changes
  in
  the
  execution
  environment,
  maintaining
  functionality
  despite
  variations.
• 
  Ease
  of
  Authoring:
  Instructions
  for
  the
  agents
  are
  simple
  to
  write
  and
  can
  even
  be
  a
  few
  lines
  of
  natural
  language.

Adept
Workflow
Language
(AWL)

AWL,
a
proprietary
language
developed
by
Adept,
is
a
syntactic
subset
of
JavaScript
ES6.
It
offers
powerful
abstractions
to
define
multimodal
web
interactions.
Users
write
workflows
in
AWL,
which
translate
directly
to
model
calls.
Specific
AWL
functions
allow
users
to
write
instructions
in
natural
language,
which
are
then
translated
into
detailed
AWL
by
the
model.

AWL
functions
like

click(“Compose”)
and

act()
provide
a
flexible
way
to
define
agent
behavior.
The
former
locates
elements
on
the
screen
and
generates
function
calls
to
interact
with
them,
while
the
latter
takes
natural
language
inputs
to
invoke
an
agent
reasoning
loop,
allowing
the
agent
to
make
plans
and
execute
tasks
dynamically.

Practical
Applications

Adept
demonstrated
how
AWL
can
be
used
to
create
workflows
for
various
applications.
One
example
involved
viewing
a
PDF
of
event
attendees,
extracting
information,
and
creating
a
new
lead
in
Hubspot.
The
same
workflow
was
replicated
for
Salesforce
with
minimal
changes,
showcasing
the
flexibility
and
efficiency
of
AWL.

Another
example
highlighted
the
extraction
of
patient
diagnosis
notes
from
a
PDF
and
entering
them
into
an
EMR
system.
The
agent
could
also
handle
tasks
like
creating
customer
records
in
Stripe
from
Google
Sheets
data
and
managing
leads
in
Salesforce
based
on
inbound
emails.

Transformative
Potential

Adept’s
AI
agents
have
the
potential
to
revolutionize
business
operations.
The
ability
to
create
automations
in
natural
language
lowers
the
barrier
for
adoption,
enabling
more
users
to
become
citizen
developers.
This
can
reduce
costs,
speed
up
time
to
value,
and
increase
the
appetite
for
automations
across
various
workspaces.

Moreover,
Adept’s
agents
can
handle
more
complex
workflows
involving
unstructured
data,
offering
increased
resilience
and
robustness.
Their
inference-time
reasoning
allows
them
to
adapt
to
underlying
web
changes,
making
them
suitable
for
a
wide
range
of
applications.

Future
Prospects

Adept
is
committed
to
making
automations
easier
for
a
broader
audience,
enabling
more
types
of
workflows
more
frequently.
The
potential
for
business
transformation
with
Adept’s
AI
agents
is
significant,
offering
simpler,
faster
automations
and
the
ability
to
automate
more
complex
tasks.

For
more
detailed
examples
of
workflows
built
with
AWL,
visit
the

Adept.ai
blog.

Image
source:
Shutterstock