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]


syntax = "proto3";
package types;

// For more information on gogo.proto, see:
// https://github.com/gogo/protobuf/blob/master/extensions.md
import "github.com/gogo/protobuf/gogoproto/gogo.proto";
import "github.com/tendermint/tendermint/crypto/merkle/merkle.proto";
import "github.com/tendermint/tendermint/libs/common/types.proto";
import "google/protobuf/timestamp.proto";

// This file is copied from http://github.com/tendermint/abci
// NOTE: When using custom types, mind the warnings.
// https://github.com/gogo/protobuf/blob/master/custom_types.md#warnings-and-issues

option (gogoproto.marshaler_all) = true;
option (gogoproto.unmarshaler_all) = true;
option (gogoproto.sizer_all) = true;
option (gogoproto.goproto_registration) = true;
// Generate tests
option (gogoproto.populate_all) = true;
option (gogoproto.equal_all) = true;
option (gogoproto.testgen_all) = true;

//----------------------------------------
// Request types

message Request {
  oneof value {
    RequestEcho echo = 2;
    RequestFlush flush = 3;
    RequestInfo info = 4;
    RequestSetOption set_option = 5;
    RequestInitChain init_chain = 6;
    RequestQuery query = 7;
    RequestBeginBlock begin_block = 8;
    RequestCheckTx check_tx = 9;
    RequestDeliverTx deliver_tx = 19;
    RequestEndBlock end_block = 11;
    RequestCommit commit = 12;
  }
}

message RequestEcho {
  string message = 1;
}

message RequestFlush {
}

message RequestInfo {
  string version = 1;
  uint64 block_version = 2;
  uint64 p2p_version = 3;
}

// nondeterministic
message RequestSetOption {
  string key = 1;
  string value = 2;
}

message RequestInitChain {
  google.protobuf.Timestamp time = 1  [(gogoproto.nullable)=false, (gogoproto.stdtime)=true];
  string chain_id = 2;
  ConsensusParams consensus_params = 3;
  repeated ValidatorUpdate validators = 4  [(gogoproto.nullable)=false];
  bytes app_state_bytes = 5;
}

message RequestQuery {
  bytes data = 1;
  string path = 2;
  int64 height = 3;
  bool prove = 4;
}

message RequestBeginBlock {
  bytes hash = 1;
  Header header = 2 [(gogoproto.nullable)=false];
  LastCommitInfo last_commit_info = 3 [(gogoproto.nullable)=false];
  repeated Evidence byzantine_validators = 4 [(gogoproto.nullable)=false];
}

enum CheckTxType {
  New = 0;
  Recheck = 1;
}

message RequestCheckTx {
  bytes tx = 1;
  CheckTxType type = 2;
}

message RequestDeliverTx {
  bytes tx = 1;
}

message RequestEndBlock {
  int64 height = 1;
}

message RequestCommit {
}

//----------------------------------------
// Response types

message Response {
  oneof value {
    ResponseException exception = 1;
    ResponseEcho echo = 2;
    ResponseFlush flush = 3;
    ResponseInfo info = 4;
    ResponseSetOption set_option = 5;
    ResponseInitChain init_chain = 6;
    ResponseQuery query = 7;
    ResponseBeginBlock begin_block = 8;
    ResponseCheckTx check_tx = 9;
    ResponseDeliverTx deliver_tx = 10;
    ResponseEndBlock end_block = 11;
    ResponseCommit commit = 12;
  }
}

// nondeterministic
message ResponseException {
  string error = 1;
}

message ResponseEcho {
  string message = 1;
}

message ResponseFlush {
}

message ResponseInfo {
  string data = 1;

  string version = 2;
  uint64 app_version = 3;

  int64 last_block_height = 4;
  bytes last_block_app_hash = 5;
}

// nondeterministic
message ResponseSetOption {
  uint32 code = 1;
  // bytes data = 2;
  string log = 3;
  string info = 4;
}

message ResponseInitChain {
  ConsensusParams consensus_params = 1;
  repeated ValidatorUpdate validators = 2 [(gogoproto.nullable)=false];
}

message ResponseQuery {
  uint32 code = 1;
  // bytes data = 2; // use "value" instead.
  string log = 3; // nondeterministic
  string info = 4; // nondeterministic
  int64 index = 5;
  bytes key = 6;
  bytes value = 7;
  merkle.Proof proof = 8;
  int64 height = 9;
  string codespace = 10;
}

message ResponseBeginBlock {
  repeated Event events = 1 [(gogoproto.nullable)=false, (gogoproto.jsontag)="events,omitempty"];
}

message ResponseCheckTx {
  uint32 code = 1;
  bytes data = 2;
  string log = 3; // nondeterministic
  string info = 4; // nondeterministic
  int64 gas_wanted  = 5;
  int64 gas_used = 6;
  repeated Event events = 7 [(gogoproto.nullable)=false, (gogoproto.jsontag)="events,omitempty"];
  string codespace = 8;
}

message ResponseDeliverTx {
  uint32 code = 1;
  bytes data = 2;
  string log = 3; // nondeterministic
  string info = 4; // nondeterministic
  int64 gas_wanted = 5;
  int64 gas_used = 6;
  repeated Event events = 7 [(gogoproto.nullable)=false, (gogoproto.jsontag)="events,omitempty"];
  string codespace = 8;
}

message ResponseEndBlock {
  repeated ValidatorUpdate validator_updates = 1 [(gogoproto.nullable)=false];
  ConsensusParams consensus_param_updates = 2;
  repeated Event events = 3 [(gogoproto.nullable)=false, (gogoproto.jsontag)="events,omitempty"];
}

message ResponseCommit {
  // reserve 1
  bytes data = 2;
}

//----------------------------------------
// Misc.

// ConsensusParams contains all consensus-relevant parameters
// that can be adjusted by the abci app
message ConsensusParams {
  BlockParams block = 1;
  EvidenceParams evidence = 2;
  ValidatorParams validator = 3;
}

// BlockParams contains limits on the block size.
message BlockParams {
  // Note: must be greater than 0
  int64 max_bytes = 1;
  // Note: must be greater or equal to -1
  int64 max_gas = 2;
}

// EvidenceParams contains limits on the evidence.
message EvidenceParams {
  // Note: must be greater than 0
  int64 max_age = 1;
}

// ValidatorParams contains limits on validators.
message ValidatorParams {
  repeated string pub_key_types = 1;
}

message LastCommitInfo {
  int32 round = 1;
  repeated VoteInfo votes = 2 [(gogoproto.nullable)=false];
}

message Event {
  string type = 1;
  repeated common.KVPair attributes = 2 [(gogoproto.nullable)=false, (gogoproto.jsontag)="attributes,omitempty"];
}

//----------------------------------------
// Blockchain Types

message Header {
  // basic block info
  Version version = 1 [(gogoproto.nullable)=false];
  string chain_id = 2 [(gogoproto.customname)="ChainID"];
  int64 height = 3;
  google.protobuf.Timestamp time = 4 [(gogoproto.nullable)=false, (gogoproto.stdtime)=true];
  int64 num_txs = 5;
  int64 total_txs = 6;

  // prev block info
  BlockID last_block_id = 7 [(gogoproto.nullable)=false];

  // hashes of block data
  bytes last_commit_hash = 8; // commit from validators from the last block
  bytes data_hash = 9;        // transactions

  // hashes from the app output from the prev block
  bytes validators_hash = 10;   // validators for the current block
  bytes next_validators_hash = 11;   // validators for the next block
  bytes consensus_hash = 12;   // consensus params for current block
  bytes app_hash = 13;         // state after txs from the previous block
  bytes last_results_hash = 14;// root hash of all results from the txs from the previous block

  // consensus info
  bytes evidence_hash = 15;    // evidence included in the block
  bytes proposer_address = 16; // original proposer of the block
}

message Version {
  uint64 Block = 1;
  uint64 App = 2;
}


message BlockID {
  bytes hash = 1;
  PartSetHeader parts_header = 2 [(gogoproto.nullable)=false];
}

message PartSetHeader {
  int32 total = 1;
  bytes hash = 2;
}

// Validator
message Validator {
  bytes address = 1;
  //PubKey pub_key = 2 [(gogoproto.nullable)=false];
  int64 power = 3;
}

// ValidatorUpdate
message ValidatorUpdate {
  PubKey pub_key = 1 [(gogoproto.nullable)=false];
  int64 power = 2;
}

// VoteInfo
message VoteInfo {
  Validator validator = 1 [(gogoproto.nullable)=false];
  bool signed_last_block = 2;
}

message PubKey {
  string type = 1;
  bytes  data = 2;
}

message Evidence {
  string type = 1;
  Validator validator = 2 [(gogoproto.nullable)=false];
  int64 height = 3;
  google.protobuf.Timestamp time = 4 [(gogoproto.nullable)=false, (gogoproto.stdtime)=true];
  int64 total_voting_power = 5;
}

//----------------------------------------
// Service Definition

service ABCIApplication {
  rpc Echo(RequestEcho) returns (ResponseEcho) ;
  rpc Flush(RequestFlush) returns (ResponseFlush);
  rpc Info(RequestInfo) returns (ResponseInfo);
  rpc SetOption(RequestSetOption) returns (ResponseSetOption);
  rpc DeliverTx(RequestDeliverTx) returns (ResponseDeliverTx);
  rpc CheckTx(RequestCheckTx) returns (ResponseCheckTx);
  rpc Query(RequestQuery) returns (ResponseQuery);
  rpc Commit(RequestCommit) returns (ResponseCommit);
  rpc InitChain(RequestInitChain) returns (ResponseInitChain);
  rpc BeginBlock(RequestBeginBlock) returns (ResponseBeginBlock);
  rpc EndBlock(RequestEndBlock) returns (ResponseEndBlock);
}