diff --git a/.python-version b/.python-version
index c8cfe39..375f5ca 100644
--- a/.python-version
+++ b/.python-version
@@ -1 +1 @@
-3.10
+3.11.6
diff --git a/.vscode/settings.json b/.vscode/settings.json
index 3d59a0f..9756dc9 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -11,6 +11,11 @@
     "editor.codeActionsOnSave": {
         "source.organizeImports": "explicit"
     },
+
+    "editor.lineNumbersMinChars": 1,
+    "editor.glyphMargin": true,
+    "editor.folding": false,
+
     
     "python.testing.pytestEnabled": true,
     "python.testing.unittestEnabled": false,
@@ -37,5 +42,9 @@
     "autoDocstring.startOnNewLine": true,
     
     "git.enableSmartCommit": true,
-    "git.confirmSync": false
+    "git.confirmSync": false,
+    "vim.showMarksInGutter": true,
+    "debug.allowBreakpointsEverywhere": true,
+    "debug.showBreakpointsInOverviewRuler": true,
+    "scm.diffDecorationsGutterWidth": 3
 } 
\ No newline at end of file
diff --git a/app.py b/app.py
index 38c1bff..5d6653d 100644
--- a/app.py
+++ b/app.py
@@ -1,43 +1,118 @@
 import chainlit as cl
-
 from src.verifact_manager import VerifactManager
+import logging
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 pipeline = VerifactManager()
 
+
 @cl.on_message
 async def handle_message(message: cl.Message):
-    progress_msg = cl.Message(content="Starting fact-checking pipeline...")
-    await progress_msg.send()
-    progress_updates = []
+    # This dictionary will hold ALL our step objects for the duration of the run
+    steps = {}
+
+    # This will act like a stack to keep track of the current active step
+    active_step_id_stack = []
+
+    async def progress_callback(type: str, data: dict):
+        nonlocal steps, active_step_id_stack
+
+        if type == "step_start":
+            parent_id = active_step_id_stack[-1] if active_step_id_stack else None
+            logger.info(f"Starting step: {data['title']}")
+            step = cl.Step(name=data["title"], parent_id=parent_id, id=data["title"])
+            steps[data["title"]] = step
+            active_step_id_stack.append(step.id)  # Push new step to stack
+            logger.info(f"Step stack after push: {active_step_id_stack}")
+            await step.send()
+
+        elif type == "step_end":
+            step_id = active_step_id_stack.pop()  # Pop current step from stack
+            step = steps[step_id]
+            step.output = data["output"]
+            await step.update()
 
-    async def progress_callback(msg, update):
-        progress_updates.append(update)
-        msg.content = "\n".join(progress_updates)
-        await msg.update()
+        elif type == "step_error":
+            step_id = active_step_id_stack.pop()  # Pop current step from stack
+            step = steps[step_id]
+            step.is_error = True
+            step.output = data["output"]
+            await step.update()
+
+        elif type == "claims_detected":
+            # This logic is special and doesn't use the stack
+            # It just adds claim-specific steps for later nesting
+            main_pipeline_id = steps["Fact-Checking Pipeline"].id
+            for i, claim in enumerate(data["claims"]):
+                claim_id = f"claim_{i+1}"
+                claim_step = cl.Step(
+                    name=f'Claim {i+1}: "{claim.text[:60]}..."',
+                    parent_id=main_pipeline_id,
+                    id=claim_id,
+                )
+                steps[claim_id] = claim_step
+                await claim_step.send()
+
+    # The main logic starts here
+    await progress_callback(type="step_start", data={"title": "Fact-Checking Pipeline"})
 
     try:
-        verdicts = await pipeline.run(message.content, progress_callback=progress_callback, progress_msg=progress_msg)
+        verdicts = await pipeline.run(
+            message.content, progress_callback=progress_callback
+        )
+
+        # Debug logging to see what we got back
+        logger.info(f"DEBUG: Received {len(verdicts) if verdicts else 0} verdicts")
+        logger.info(f"DEBUG: Verdicts content: {verdicts}")
+
         if not verdicts:
-            progress_msg.content = "No factual claims detected in your message."
-            await progress_msg.update()
+            await progress_callback(
+                type="step_end",
+                data={"output": "No factual claims were detected in your message."},
+            )
             return
-        # Format the final organized message
-        response = ""
-        for idx, (claim, evidence, verdict) in enumerate(verdicts):
-            claim_text = getattr(claim, 'text', str(claim))
-            verdict_text = getattr(verdict, 'verdict', str(verdict))
-            confidence = getattr(verdict, 'confidence', 'N/A')
-            explanation = getattr(verdict, 'explanation', 'N/A')
-            sources = getattr(verdict, 'sources', [])
+
+        # Format the final message and send it
+        response = "## Fact-Checking Complete\nHere are the results:\n"
+
+        for idx, verdict_tuple in enumerate(verdicts):
+            logger.info(f"DEBUG: Processing verdict {idx}: {verdict_tuple}")
+
+            # Handle different possible tuple structures
+            if len(verdict_tuple) == 3:
+                claim, evidence, verdict = verdict_tuple
+            else:
+                logger.error(f"Unexpected verdict tuple structure: {verdict_tuple}")
+                continue
+
+            # Safely extract attributes with fallbacks
+            claim_text = (
+                getattr(claim, "text", str(claim)) if claim else "Unknown claim"
+            )
+            verdict_text = (
+                getattr(verdict, "verdict", str(verdict)) if verdict else "No verdict"
+            )
+            confidence = getattr(verdict, "confidence", "N/A") if verdict else "N/A"
+            explanation = (
+                getattr(verdict, "explanation", "No explanation provided")
+                if verdict
+                else "N/A"
+            )
+            sources = getattr(verdict, "sources", []) if verdict else []
             sources_str = "\n".join(sources) if sources else "No sources provided."
-            # Evidence formatting
+
             if evidence:
-                evidence_str = "\n".join([
-                    f"- {getattr(ev, 'content', str(ev))} (Source: {getattr(ev, 'source', 'N/A')}, Stance: {getattr(ev, 'stance', 'N/A')}, Relevance: {getattr(ev, 'relevance', 'N/A')})"
-                    for ev in evidence
-                ])
+                evidence_str = "\n".join(
+                    [
+                        f"- {getattr(ev, 'content', str(ev))} (Source: {getattr(ev, 'source', 'N/A')}, Stance: {getattr(ev, 'stance', 'N/A')}, Relevance: {getattr(ev, 'relevance', 'N/A')})"
+                        for ev in evidence
+                    ]
+                )
             else:
                 evidence_str = "No evidence found."
+
             response += (
                 f"\n---\n**Claim {idx+1}:** {claim_text}\n"
                 f"**Evidence:**\n{evidence_str}\n"
@@ -46,12 +121,26 @@ async def progress_callback(msg, update):
                 f"**Explanation:** {explanation}\n"
                 f"**Sources:**\n{sources_str}\n"
             )
-        progress_msg.content = response
-        await progress_msg.update()
+
+        # Close the main pipeline step and set its final output
+        steps["Fact-Checking Pipeline"].output = response
+        await steps["Fact-Checking Pipeline"].update()
+        active_step_id_stack.pop()  # Final pop for the main step
+
+        # Send a final, separate message for easy viewing
+        await cl.Message(content=response).send()
+
     except Exception as e:
-        progress_msg.content = f"An error occurred during fact-checking: {str(e)}"
-        await progress_msg.update()
+        logger.error(f"An error occurred in the main pipeline: {e}", exc_info=True)
+        # Check if there's an active step to mark as error
+        if active_step_id_stack:
+            await progress_callback(
+                type="step_error", data={"output": f"An error occurred: {str(e)}"}
+            )
+
 
 @cl.on_chat_start
 async def on_chat_start():
-    await cl.Message(content="👋 Welcome to VeriFact! The system is up and running. Type your claim or question to get started.").send()
\ No newline at end of file
+    await cl.Message(
+        content="👋 Welcome to VeriFact! The system is up and running. Type your claim or question to get started."
+    ).send()
diff --git a/pyproject.toml b/pyproject.toml
index 106bc9c..39e1aff 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,8 +38,8 @@ dependencies = [
     "beautifulsoup4>=4.12.0",
     "pytest-asyncio>=0.21.0",
     "psutil",
-    "chainlit",
-    "openai-agents>=0.0.15",
+    "chainlit>=1.0",
+    "openai-agents<=0.0.16",
     "serpapi>=0.1.5",
 ]
 
diff --git a/src/tests/test_claim_detector.py b/src/tests/test_claim_detector.py
new file mode 100644
index 0000000..3148fde
--- /dev/null
+++ b/src/tests/test_claim_detector.py
@@ -0,0 +1,133 @@
+import pytest
+from pydantic import ValidationError
+
+# Adjust the import path based on your project structure.
+# This assumes 'src' is in your PYTHONPATH or you're running pytest from the project root.
+from verifact_agents.claim_detector import Claim, claim_detector_agent, PROMPT
+
+# --- Fixtures ---
+# Fixtures are a way to provide data or set up resources for your tests.
+
+@pytest.fixture
+def valid_claim_data() -> dict:
+    """Provides a dictionary with valid data for a Claim instance."""
+    return {
+        "text": "The Earth is round.",
+        "normalized_text": "The Earth has a spherical shape.",
+        "check_worthiness_score": 0.9,
+        "specificity_score": 0.8,
+        "public_interest_score": 0.7,
+        "impact_score": 0.6,
+        "detection_confidence": 0.95,
+        "domain": "Science",
+        "entities": [{"text": "Earth", "type": "Planet"}],
+        "compound_claim_parts": None,
+        "rank": 1
+    }
+
+# --- Tests for the Claim Pydantic Model ---
+
+def test_claim_creation_valid_data(valid_claim_data):
+    """Test that a Claim can be successfully created with valid data."""
+    try:
+        claim = Claim(**valid_claim_data)
+        # Check a few key fields to ensure data is loaded correctly
+        assert claim.text == valid_claim_data["text"]
+        assert claim.normalized_text == valid_claim_data["normalized_text"]
+        assert claim.check_worthiness_score == valid_claim_data["check_worthiness_score"]
+        assert claim.rank == valid_claim_data["rank"]
+        assert claim.entities == valid_claim_data["entities"]
+    except ValidationError as e:
+        pytest.fail(f"Claim creation failed with valid data: {e}")
+
+def test_claim_missing_required_field(valid_claim_data):
+    """Test that ValidationError is raised if a required field (e.g., 'text') is missing."""
+    invalid_data = valid_claim_data.copy()
+    del invalid_data["text"]  # 'text' is a required field
+
+    # pytest.raises is a context manager to check for expected exceptions
+    with pytest.raises(ValidationError) as excinfo:
+        Claim(**invalid_data)
+    
+    # Optionally, you can inspect the exception details
+    assert "text" in str(excinfo.value).lower() # Check that the error message mentions 'text'
+    assert "field required" in str(excinfo.value).lower()
+
+@pytest.mark.parametrize("score_field,invalid_value", [
+    ("check_worthiness_score", -0.1),
+    ("check_worthiness_score", 1.1),
+    ("specificity_score", -0.5),
+    ("specificity_score", 1.5),
+
+
+    ("public_interest_score", -0.01),
+    ("public_interest_score", 2.0),
+    ("impact_score", -1.0),
+    ("impact_score", 1.0001),
+    ("detection_confidence", -0.2),
+    ("detection_confidence", 1.2),
+])
+def test_claim_score_out_of_range(valid_claim_data, score_field, invalid_value):
+    """Test that scores must be between 0.0 and 1.0."""
+    invalid_data = valid_claim_data.copy()
+    invalid_data[score_field] = invalid_value
+    
+    with pytest.raises(ValidationError) as excinfo:
+        Claim(**invalid_data)
+    
+    # Check that the error message mentions the problematic field
+    assert score_field in str(excinfo.value)
+
+def test_claim_default_values(valid_claim_data):
+    """Test default values for optional fields like 'entities' and 'compound_claim_parts'."""
+    data = valid_claim_data.copy()
+    del data["entities"]             # entities has default_factory=[]
+    del data["compound_claim_parts"] # compound_claim_parts has default=None
+    print("====>data:", data)
+
+    claim = Claim(**data)
+    
+    assert claim.entities == []
+    assert claim.compound_claim_parts is None
+
+def test_claim_extra_fields_forbidden(valid_claim_data):
+    """Test that extra fields are not allowed due to model_config = {'extra': 'forbid'}."""
+    data_with_extra = valid_claim_data.copy()
+    data_with_extra["unexpected_field"] = "some_value"
+    
+    with pytest.raises(ValidationError) as excinfo:
+        Claim(**data_with_extra)
+
+    assert "unexpected_field" in str(excinfo.value)
+    assert "extra inputs are not permitted" in str(excinfo.value).lower()
+
+def test_claim_invalid_data_type_for_field(valid_claim_data):
+    """Test that providing an incorrect data type for a field raises ValidationError."""
+    invalid_data = valid_claim_data.copy()
+    invalid_data["rank"] = "not-an-integer" # rank should be an int
+    
+    with pytest.raises(ValidationError) as excinfo:
+        Claim(**invalid_data)
+    assert "rank" in str(excinfo.value) # Check that the error message mentions 'rank'
+
+# --- Tests for the claim_detector_agent Instance ---
+
+def test_claim_detector_agent_instantiation():
+    """Test that the claim_detector_agent is instantiated and has basic properties."""
+    assert claim_detector_agent is not None
+    assert claim_detector_agent.name == "ClaimDetector"
+    
+    assert claim_detector_agent.output_type.__origin__ == list # Checks if it's a list type
+    assert claim_detector_agent.output_type.__args__[0] == Claim # Checks if the list contains Claim
+
+    # Check if instructions are loaded (at least that it's not empty)
+    assert claim_detector_agent.instructions == PROMPT
+    assert PROMPT.strip() != "" # Ensure the PROMPT string itself is not empty
+
+    # Note: Testing the agent's actual processing (which calls an LLM)
+    # is an integration test and would require mocking os.getenv or the Agent's call method.
+    # For an MVP unit test, checking instantiation and configuration is a good start.
+
+# You can add more tests here, for example:
+# - Test specific constraints on 'entities' (e.g., must be list of dicts with 'text' and 'type')
+# - Test 'compound_claim_parts' (e.g., must be list of strings if not None)
\ No newline at end of file
diff --git a/src/utils/logging/logging_config.py b/src/utils/logging/logging_config.py
index 862b9eb..4e6d3d6 100644
--- a/src/utils/logging/logging_config.py
+++ b/src/utils/logging/logging_config.py
@@ -35,4 +35,4 @@ def setup_logging():
     root_logger = logging.getLogger()
     root_logger.setLevel(log_level)
     root_logger.handlers = handlers
-    root_logger.propagate = False
\ No newline at end of file
+    root_logger.propagate = False
diff --git a/src/verifact_agents/claim_detector.py b/src/verifact_agents/claim_detector.py
index 1a51a94..7f8eaa3 100644
--- a/src/verifact_agents/claim_detector.py
+++ b/src/verifact_agents/claim_detector.py
@@ -1,26 +1,88 @@
 import os
-
-from pydantic import BaseModel
-
+from typing import Optional
+from pydantic import BaseModel, Field
 from agents import Agent
 
 
 class Claim(BaseModel):
     """A factual claim that requires verification."""
 
-    text: str
-    context: float = 0.0
+    # Add model configuration for strict schema compliance
+    model_config = {"extra": "forbid"}
+
+    text: str = Field(
+        ..., description="The original claim text as it appeared in the input."
+    )
+
+    normalized_text: str = Field(
+        ...,
+        description="A normalized version of the claim, with standardized formatting and phrasing.",
+    )
+
+    context: Optional[str] = Field(
+        default=None,
+        description="Optional context from which the claim was extracted, if available and relevant.",
+    )
+
+    check_worthiness_score: float = Field(
+        ..., ge=0.0, le=1.0, description="Overall check-worthiness score (0.0-1.0)."
+    )
+
+    specificity_score: float = Field(
+        ..., ge=0.0, le=1.0, description="Specificity of the claim (0.0-1.0)."
+    )
+
+    public_interest_score: float = Field(
+        ..., ge=0.0, le=1.0, description="Public interest score (0.0-1.0)."
+    )
+
+    impact_score: float = Field(
+        ...,
+        ge=0.0,
+        le=1.0,
+        description="Potential impact score if true/false (0.0-1.0).",
+    )
+
+    detection_confidence: float = Field(
+        ...,
+        ge=0.0,
+        le=1.0,
+        description="Confidence in the detection of this claim (0.0-1.0).",
+    )
+
+    domain: str = Field(
+        ...,
+        description="The domain classification of the claim (e.g., Politics, Science, Health).",
+    )
+
+    entities: Optional[list[dict[str, str]]] = Field(
+        default_factory=list,
+        description="A list of extracted entities with their types.",
+    )
+
+    compound_claim_parts: Optional[list[str]] = Field(
+        default=None,
+        description="If a compound claim, the separate checkable statements.",
+    )
+
+    rank: int = Field(
+        ..., description="Rank of the claim in order of importance for fact-checking."
+    )
+
 
 PROMPT = """
 You are a claim detection agent designed to identify factual claims from text that require verification.
+
 Your task is to:
 1. Identify explicit and implicit factual claims
+2. Provide any immediate surrounding context if it's relevant for understanding or verifying the claim.
 2. Score each claim's check-worthiness, specificity, public interest, and impact
 3. Extract and categorize entities mentioned in claims
 4. Classify claims by domain (politics, science, health, etc.)
 5. Normalize claims to a standard format
 6. Split compound claims into separate checkable statements
 7. Rank claims by overall importance for fact-checking
+8. Provide any immediate surrounding context if it's relevant for understanding or verifying the claim. This context should be brief and directly related to the claim itself.
 
 FACTUAL CLAIMS:
 - Are statements presented as facts
@@ -86,6 +148,55 @@ class Claim(BaseModel):
 9. Extracted entities with types
 10. Parts of compound claims (if applicable)
 11. Rank (relative to other claims)
+
+OUTPUT FORMAT:
+You MUST return a JSON list of objects. Each object in the list represents one claim and MUST conform strictly to the provided Pydantic model structure.
+
+EXAMPLE:
+Input text: "According to a recent report, the new Starship rocket from SpaceX, which is 120 meters high, might be able to reach Mars in just 6 months. This is a huge leap from the 9 months it took previous missions."
+
+Expected JSON Output:
+[
+  {
+    "text": "the new Starship rocket from SpaceX, which is 120 meters high, might be able to reach Mars in just 6 months",
+    "normalized_text": "The SpaceX Starship rocket has a height of 120 meters and can potentially reach Mars in 6 months.",
+    "context": "This claim was made in the context of comparing it to previous missions that took 9 months.",
+    "check_worthiness_score": 0.85,
+    "specificity_score": 0.9,
+    "public_interest_score": 0.8,
+    "impact_score": 0.9,
+    "detection_confidence": 0.95,
+    "domain": "Technology",
+    "entities": [
+      {"text": "Starship", "type": "Product"},
+      {"text": "SpaceX", "type": "Organization"},
+      {"text": "120 meters", "type": "Measurement"},
+      {"text": "Mars", "type": "Location"},
+      {"text": "6 months", "type": "Duration"}
+    ],
+    "compound_claim_parts": [
+      "The SpaceX Starship rocket is 120 meters high.",
+      "The SpaceX Starship rocket can reach Mars in 6 months."
+    ],
+    "rank": 1
+  },
+  {
+    "text": "it took previous missions 9 months",
+    "normalized_text": "Previous missions to Mars took 9 months to complete the journey.",
+    "context": "This is stated as a comparison point for the new Starship rocket's travel time.",
+    "check_worthiness_score": 0.7,
+    "specificity_score": 0.8,
+    "public_interest_score": 0.6,
+    "impact_score": 0.4,
+    "detection_confidence": 0.9,
+    "domain": "History",
+    "entities": [
+      {"text": "9 months", "type": "Duration"}
+    ],
+    "compound_claim_parts": null,
+    "rank": 2
+  }
+]
 """
 
 claim_detector_agent = Agent(
@@ -94,4 +205,4 @@ class Claim(BaseModel):
     output_type=list[Claim],
     tools=[],
     model=os.getenv("CLAIM_DETECTOR_MODEL"),
-)
\ No newline at end of file
+)
diff --git a/src/verifact_manager.py b/src/verifact_manager.py
index 8ecbd29..a20f886 100644
--- a/src/verifact_manager.py
+++ b/src/verifact_manager.py
@@ -10,17 +10,19 @@
 """
 
 import asyncio
+from re import A, I
+from signal import raise_signal
 import chainlit as cl
 from pydantic import BaseModel, Field
 from agents import Runner, gen_trace_id, trace
-from src.verifact_agents.claim_detector import claim_detector_agent, Claim
-from src.verifact_agents.evidence_hunter import evidence_hunter_agent, Evidence
-from src.verifact_agents.verdict_writer import verdict_writer_agent, Verdict
+from verifact_agents.claim_detector import claim_detector_agent, Claim
+from verifact_agents.evidence_hunter import evidence_hunter_agent, Evidence
+from verifact_agents.verdict_writer import verdict_writer_agent, Verdict
 import logging
 
 logger = logging.getLogger(__name__)
 
-    
+
 class ManagerConfig(BaseModel):
     """Configuration options for the factcheck pipeline."""
 
@@ -38,90 +40,114 @@ class VerifactManager:
     def __init__(self, config: ManagerConfig = None):
         self.config = config or ManagerConfig()
 
-    async def run(self, query: str, progress_callback=None, progress_msg=None) -> None:
-        """Process text through the full factchecking pipeline.
-
-        Args:
-            text: The text to factcheck
-            progress_callback: Optional function to call with progress messages
-            progress_msg: The Chainlit message object to update
-
-        Returns:
-            List[Verdict]: A list of verdicts for claims in the text
-        """
+    # Replace the run method with this one
+    async def run(self, query: str, progress_callback=None) -> list:
         trace_id = gen_trace_id()
         with trace("VeriFact trace", trace_id=trace_id):
             logger.info(f"Starting factchecking pipeline for trace {trace_id}...")
-            if progress_callback and progress_msg:
-                await progress_callback(progress_msg, "Starting factchecking pipeline...")
 
             # Step 1: Detect claims
+            if progress_callback:
+                await progress_callback(
+                    type="step_start", data={"title": "Claim Detection"}
+                )
+
             try:
-                if progress_callback and progress_msg:
-                    await progress_callback(progress_msg, "Detecting factual claims...")
                 claims = await self._detect_claims(query)
-                if not claims:
-                    logger.info("No check-worthy claims detected in the text")
-                    if progress_callback and progress_msg:
-                        await progress_callback(progress_msg, "No factual claims detected in your message.")
-                    return []
-                if progress_callback and progress_msg:
-                    await progress_callback(progress_msg, f"Detected {len(claims)} claim(s). Gathering evidence...")
+                if progress_callback:
+                    await progress_callback(
+                        type="step_end",
+                        data={"output": f"Detected {len(claims)} claim(s)."},
+                    )
             except Exception as e:
                 logger.error("Error in claim detection: %s", str(e), exc_info=True)
-                if progress_callback and progress_msg:
-                    await progress_callback(progress_msg, f"Error in claim detection: {str(e)}")
+                if progress_callback:
+                    await progress_callback(
+                        type="step_error",
+                        data={"title": "Claim Detection", "output": f"Error: {e}"},
+                    )
                 raise
 
-            # Step 2: Gather evidence for each claim (with parallelism)
-            try:
-                claim_evidence_pairs = []
-                for idx, claim in enumerate(claims):
-                    if progress_callback and progress_msg:
-                        await progress_callback(progress_msg, f"Gathering evidence for claim {idx+1}/{len(claims)}: '{getattr(claim, 'text', str(claim))[:60]}'...")
-                    try:
-                        evidence = await self._gather_evidence_for_claim(claim)
-                    except Exception as e:
-                        evidence = None
-                    claim_evidence_pairs.append((claim, evidence))
-                if progress_callback and progress_msg:
-                    await progress_callback(progress_msg, "Evidence gathering complete. Generating verdicts...")
-            except Exception as e:
-                logger.error("Error in evidence gathering: %s", str(e), exc_info=True)
-                if progress_callback and progress_msg:
-                    await progress_callback(progress_msg, f"Error in evidence gathering: {str(e)}")
-                raise
+            if not claims:
+                return []
 
-            # Step 3: Generate verdicts for each claim
-            try:
-                verdicts = []
-                for idx, (claim, evidence) in enumerate(claim_evidence_pairs):
-                    if not evidence:
-                        logger.warning(f"Skipping claim - no evidence found")
-                        if progress_callback and progress_msg:
-                            await progress_callback(progress_msg, f"No evidence found for claim {idx+1}: '{getattr(claim, 'text', str(claim))[:60]}'. Skipping verdict.")
-                        continue
-                    if progress_callback and progress_msg:
-                        await progress_callback(progress_msg, f"Generating verdict for claim {idx+1}/{len(claims)}...")
+            # This event signals the UI to create the collapsible sections for each claim
+            if progress_callback:
+                await progress_callback(type="claims_detected", data={"claims": claims})
+
+            # Step 2 & 3: Process each claim individually
+            final_verdicts = []
+            for idx, claim in enumerate(claims):
+                claim_id = f"claim_{idx+1}"  # A unique ID for this claim's parent step
+                claim_text_short = getattr(claim, "text", str(claim))[:60]
+
+                # --- Evidence Gathering Step ---
+                if progress_callback:
+                    await progress_callback(
+                        type="step_start",
+                        data={"title": "Evidence Gathering", "parent_id": claim_id},
+                    )
+
+                evidence = None
+                try:
+                    evidence = await self._gather_evidence_for_claim(claim)
+                    if progress_callback:
+                        await progress_callback(
+                            type="step_end",
+                            data={"output": f"Found {len(evidence)} evidence items."},
+                        )
+                except Exception as e:
+                    logger.error(
+                        f"Error gathering evidence for '{claim_text_short}...': {e}",
+                        exc_info=True,
+                    )
+                    if progress_callback:
+                        await progress_callback(
+                            type="step_error", data={"output": f"Error: {e}"}
+                        )
+                    continue
+
+                if not evidence:
+                    continue
+
+                # --- Verdict Generation Step ---
+                if progress_callback:
+                    await progress_callback(
+                        type="step_start",
+                        data={"title": "Verdict Generation", "parent_id": claim_id},
+                    )
+
+                try:
                     verdict = await self._generate_verdict_for_claim(claim, evidence)
-                    verdicts.append((claim, evidence, verdict))
-                if progress_callback and progress_msg:
-                    await progress_callback(progress_msg, "Factchecking pipeline completed.")
-            except Exception as e:
-                logger.error("Error in verdict generation: %s", str(e), exc_info=True)
-                if progress_callback and progress_msg:
-                    await progress_callback(progress_msg, f"Error in verdict generation: {str(e)}")
-                raise
+                    if progress_callback:
+                        await progress_callback(
+                            type="step_end",
+                            data={"output": f"Verdict: {verdict.verdict}"},
+                        )
+                    final_verdicts.append((claim, evidence, verdict))
+                except Exception as e:
+                    logger.error(
+                        f"Error generating verdict for '{claim_text_short}...': {e}",
+                        exc_info=True,
+                    )
+                    if progress_callback:
+                        await progress_callback(
+                            type="step_error", data={"output": f"Error: {e}"}
+                        )
+                    continue
 
-            logger.info("Factchecking pipeline completed. Generated %d verdicts.", len(verdicts))
-            return verdicts
+            logger.info(
+                "Factchecking pipeline completed. Generated %d verdicts.",
+                len(final_verdicts),
+            )
+            return final_verdicts
 
     async def _detect_claims(self, text: str) -> list[Claim]:
-        logger.info("Detecting claims...")
+        logger.info("_detect_claims(), Detecting claims...")
         result = await Runner.run(claim_detector_agent, text)
 
         claims = result.final_output_as(list[Claim])
-        logger.info(f"Detected {len(claims)} claims")
+        logger.info(f"_detect_claims(), Detected {len(claims)} claims")
 
         return claims
 
@@ -133,30 +159,47 @@ async def _gather_evidence_for_claim(self, claim: Claim) -> list[Evidence]:
         Context of the claim: {claim.context if hasattr(claim, "context") and claim.context else "No additional context provided"}
         """
 
+        query = f"""
+        Claim to investigate: {claim.text}
+        Context of the claim: No additional context provided
+        """
+
         result = await Runner.run(evidence_hunter_agent, query)
         logger.info(f"Evidence gathered for claim: {claim.text[:50]}")
 
         return result.final_output_as(list[Evidence])
-        
-    async def _gather_evidence(self, claims: list[Claim]) -> list[tuple[Claim, list[Evidence] | None]]:
+
+    async def _gather_evidence(
+        self, claims: list[Claim]
+    ) -> list[tuple[Claim, list[Evidence] | None]]:
         tasks = [self._gather_evidence_for_claim(claim) for claim in claims]
+        """ *** Todos (GPT suggests) ***
+        asyncio.gather
+        - This is the right way to run the evidence-hunting step in parallel for multiple claims.
+        - However, the main run method currently gathers evidence serially in a for loop. This is a great opportunity for a future performance improvement.
+        """
         results = await asyncio.gather(*tasks, return_exceptions=True)
         claim_evidence_pairs = []
 
         for claim, result in zip(claims, results):
             if isinstance(result, Exception):
-                logger.error(f"Error gathering evidence for claim: {claim.text[:50]}: {result.message}", exc_info=True)
+                logger.error(
+                    f"Error gathering evidence for claim: {claim.text[:50]}: {result.message}",
+                    exc_info=True,
+                )
                 claim_evidence_pairs.append((claim, None))
             elif result is None:
                 logger.warning(f"No evidence found for claim: {claim.text[:50]}")
                 claim_evidence_pairs.append((claim, None))
             else:
-                #logger.info(f"DEBUG: Evidence gathered for claim: {result}")
+                # logger.info(f"DEBUG: Evidence gathered for claim: {result}")
                 claim_evidence_pairs.append((claim, result))
 
         return claim_evidence_pairs
 
-    async def _generate_verdict_for_claim(self, claim: Claim, evidence: list[Evidence]) -> Verdict:
+    async def _generate_verdict_for_claim(
+        self, claim: Claim, evidence: list[Evidence]
+    ) -> Verdict:
         logger.info(f"Generating verdict for claim {claim.text[:50]}...")
         # TODO: add formatting of evidence and citations before creating the prompt
 
@@ -168,7 +211,19 @@ async def _generate_verdict_for_claim(self, claim: Claim, evidence: list[Evidenc
         result = await Runner.run(verdict_writer_agent, prompt)
         return result.final_output_as(Verdict)
 
-    async def _generate_all_verdicts(self, claims_with_evidence: list[tuple[Claim, list[Evidence]]]) -> list[Verdict]:
+    async def _generate_verdicts(
+        self, claims_with_evidence: list[tuple[Claim, list[Evidence]]]
+    ) -> list[Verdict]:
+        logger.info("Generating verdicts for claims...")
+        verdicts = []
+        for claim, evidence in claims_with_evidence:
+            verdict = await Runner.run(verdict_writer_agent, claim, evidence)
+            verdicts.append(verdict.final_output_as(Verdict))
+        logger.info(f"Generated verdicts for {len(claims_with_evidence)} claims")
+
+    async def _generate_all_verdicts(
+        self, claims_with_evidence: list[tuple[Claim, list[Evidence]]]
+    ) -> list[Verdict]:
         logger.info("Generating verdicts...")
         verdicts = []
         for claim, evidence in claims_with_evidence:
@@ -176,24 +231,40 @@ async def _generate_all_verdicts(self, claims_with_evidence: list[tuple[Claim, l
             if not evidence:
                 logger.warning(f"Skipping claim - no evidence found")
                 continue
-            
+
             logger.info(f"Evidence: {evidence} | {type(evidence)}")
-            logger.info("Generating verdict for claim with %d evidence pieces", len(evidence))
+            logger.info(
+                "Generating verdict for claim with %d evidence pieces", len(evidence)
+            )
             verdict = await self._generate_verdict_for_claim(claim, evidence)
 
             verdicts.append(verdict)
             logger.info("Generated verdict: %s", verdict.verdict)
 
         return verdicts
-    
+
+
 # testing
 if __name__ == "__main__":
     # load env
     from dotenv import load_dotenv
+
     load_dotenv()
     from utils.logging.logging_config import setup_logging
+
     setup_logging()
+
+    # async def test_claims():
+    #     #query = "The sky is blue and the grass is green"
+    #     query = "The Eiffel Tower is 330 meters tall and was completed in 1889."
+    #     claims_output = await Runner.run(claim_detector_agent, query)
+    #     print("------->verifact_manager.py claims_output.final_output_as():", claims_output.final_output_as(list[Claim]))
+    #     return claims_output
+    #
+    # claims_output = asyncio.run(test_claims())
+
+    # query = "The Eiffel Tower is 330 meters tall and was completed in 1889."
+    query = "The sky is blue"
     manager = VerifactManager()
-    query = "The sky is blue and the grass is green"
     verdicts = asyncio.run(manager.run(query))
-    print(verdicts)
\ No newline at end of file
+    print("Verdicts:", verdicts)
diff --git a/uv.lock b/uv.lock
index 6882c17..977ff5c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,12 +2,129 @@ version = 1
 revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.12.4'",
+    "python_full_version >= '3.13'",
+    "python_full_version >= '3.12.4' and python_full_version < '3.13'",
     "python_full_version >= '3.12' and python_full_version < '3.12.4'",
     "python_full_version == '3.11.*'",
     "python_full_version < '3.11'",
 ]
 
+[[package]]
+name = "aiofiles"
+version = "23.2.1"
+source = { registry = "https://pypi.org/simple" }
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+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+wheels = [
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+]
+
+[[package]]
+name = "aiohttp"
+version = "3.12.7"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "async-timeout", version = "4.0.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
+    { name = "propcache" },
+    { name = "yarl" },
+]
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