You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Caveats: It is possible that in some intricate uses of macros,
the automatic addition or removal of parentheses around uses or
arguments could cause the resulting program to be rejected by the
compiler; however, we have found no such case in existing
code. Programs defining strange macros can usually not be read by
this program, and in those cases, no changes will be made.

If you really, really want to, you may call it "Inga".

Disclaimer: The author accepts no responsibility for errors
introduced in code that has been processed by the program. It has
been reasonably well tested, but the possibility of errors remains.
Keep backups of your original code safely stored, until you feel
confident that the new, modified code can be trusted.

file(Name) -> ok

file(Name::filename(), Options::[term()]) -> ok

Specifies the file name suffix to be used when a backup
file is created; the default value is ".bak"
(cf. the backups option).

{backups, bool()}

If the value is true, existing files will be
renamed before new files are opened for writing. The new
names are formed by appending the string given by the
backup_suffix option to the original name. The
default value is true.

{dir, filename()}

Specifies the name of the directory in which the output
file is to be written. By default, the current directory is
used. If the value is an empty string, the current directory
is used.

{outfile, filename()}

Specifies the name of the file (without suffix) to which
the resulting source code is to be written. If this option is
not specified, the Name argument is used.

{printer, Function}

Function = (syntaxTree()) -> string()

Specifies a function for prettyprinting Erlang syntax trees.
This is used for outputting the resulting module definition.
The function is assumed to return formatted text for the given
syntax tree, and should raise an exception if an error occurs.
The default formatting function calls
erl_prettypr:format/2.

{test, bool()}

If the value is true, no files will be modified; this
is typically most useful if the verbose flag is enabled, to
generate reports about the program files without affecting
them. The default value is false.

module(Forms) -> syntaxTree()

module(Forms, Options::[term()]) -> syntaxTree()

Forms = syntaxTree() | [syntaxTree()]

syntaxTree() (see module erl_syntax)

Tidies a syntax tree representation of a module
definition. The given Forms may be either a single
syntax tree of type form_list, or a list of syntax
trees representing "program forms". In either case,
Forms must represent a single complete module
definition. The returned syntax tree has type
form_list and represents a tidied-up version of the
same source code.

Available options are:

{auto_export_vars, bool()}

If the value is true, all matches
"{V1, ..., Vn} = E" where E is a
case-, if- or receive-expression whose branches all return
n-tuples (or explicitly throw exceptions) will be rewritten
to bind and export the variables V1, ...,
Vn directly. The default value is false.

If the value is true, calls to lists:map/2 and
lists:filter/2 will be rewritten using list comprehensions.
The default value is true.

{file, string()}

Specifies the name of the file from which the source code
was taken. This is only used for generation of error
reports. The default value is the empty string.

{idem, bool()}

If the value is true, all options that affect how the
code is modified are set to "no changes". For example, to
only update guard tests, and nothing else, use the options
[new_guard_tests, idem]. (Recall that options closer to the
beginning of the list have higher precedence.)

{keep_unused, bool()}

If the value is true, unused functions will
not be removed from the code. The default value is
false.

{new_guard_tests, bool()}

If the value is true, guard tests will be updated to
use the new names, e.g. "is_integer(X)" instead of
"integer(X)". The default value is true. See also
old_guard_tests.

{no_imports, bool()}

If the value is true, all import statements will be
removed and calls to imported functions will be expanded to
explicit remote calls. The default value is false.

{old_guard_tests, bool()}

If the value is true, guard tests will be changed to
use the old names instead of the new ones, e.g.
"integer(X)" instead of "is_integer(X)". The default
value is false. This option overrides the new_guard_tests
option.

{quiet, bool()}

If the value is true, all information
messages and warning messages will be suppressed. The default
value is false.

{rename, [{{atom(), atom(), integer()},
{atom(), atom()}}]}

The value is a list of pairs, associating tuples
{Module, Name, Arity} with tuples {NewModule, NewName},
specifying renamings of calls to remote functions. By
default, the value is the empty list.

The renaming affects only remote calls (also when
disguised by import declarations); local calls within a
module are not affected, and no function definitions are
renamed. Since the arity cannot change, the new name is
represented by {NewModule, NewName} only. Only
calls matching the specified arity will match; multiple
entries are necessary for renaming calls to functions that
have the same module and function name, but different
arities.

This option can also be used to override the default
renaming of calls which use obsolete function names.

{verbose, bool()}

If the value is true, progress messages will be output
while the program is running, unless the quiet option is
true. The default value is false.