
VALENTINERONTEZ.
Model. Developer. Founder.

1// Atomic CTE: debit balance + insert reservation2const result = await sequelize.query(`3 WITH updated AS (4 UPDATE users5 SET credits_balance = credits_balance - :cost6 WHERE id = :userId7 AND credits_balance >= :cost8 RETURNING id, credits_balance AS balance_after9 )10 INSERT INTO credit_transactions (11 id, user_id, transaction_type, amount,12 balance_before, balance_after, status,13 model_name, generation_id, idempotency_key,14 expires_at, metadata15 )16 SELECT17 gen_random_uuid(), :userId, 'reservation', -:cost,18 balance_after + :cost, balance_after, 'active',19 :modelName, :generationId, :idempotencyKey,20 :expiresAt, json_build_object('job_id', :jobId)21 FROM updated22 RETURNING *;23`, { replacements, type: QueryTypes.SELECT, transaction });24.25// No rows = insufficient credits (WHERE failed)26if (!result || result.length === 0) return null;
1def generate_variants(words, transcript_text, video_path,2 *, fps=FPS, target_count=8, on_token=None):3 """Two parallel editorial strategies with4 Jaccard similarity fallback for diversity."""5.6 candidates = generate_candidates(words)7 scored = extract_features(candidates, transcript_text,8 on_token=on_token)9.10 strategies = ["hook_first", "story_first"]11 variants = []12 hook_selected_ids = set()13.14 for strategy in strategies:15 scored_copy = deep_copy_segments(scored)16 compute_scores(scored_copy, strategy)17.18 avoid = hook_selected_ids if strategy == "story_first" else None19 selected = select_top_moments(20 scored_copy, target_count=target_count,21 diversity_weight=0.3, strategy=strategy,22 avoid_ids=avoid,23 )24.25 if strategy == "hook_first":26 hook_selected_ids = {s.segment_id for s in selected}27 if strategy == "story_first" and hook_selected_ids:28 _enforce_uniqueness_quota(29 selected, scored_copy, hook_selected_ids)30.31 timeline, scores = assemble_variant(32 selected, video_path, strategy, fps)33 variants.append(build_result(strategy, timeline, scores))34.35 # Low-diversity fallback: Jaccard > 0.8 triggers reselect36 set_a = {m.segment_id for m in variants[0].selected_moments}37 set_b = {m.segment_id for m in variants[1].selected_moments}38 if jaccard_similarity(set_a, set_b) > 0.8:39 variants[1] = _reselect_story_first(40 scored, variants[0], hook_selected_ids,41 video_path, fps, target_count, diversity_weight=0.7)42.43 return variants
1# Lua script for atomic lock release (compare-and-swap)2_RELEASE_LOCK_SCRIPT = """3if redis.call("get", KEYS[1]) == ARGV[1] then4 return redis.call("del", KEYS[1])5else6 return 07end8"""9.10async def acquire_lock(redis, edit_session_id, timeout=30):11 """Distributed lock via Redis SET NX EX."""12 key = f"arlu:edit_lock:{edit_session_id}"13 token = secrets.token_hex(16)14 acquired = await redis.set(key, token, nx=True, ex=timeout)15 return token if acquired else None16.17async def release_lock(redis, edit_session_id, token):18 """Release only if token matches (atomic Lua eval)."""19 key = f"arlu:edit_lock:{edit_session_id}"20 return bool(await redis.eval(21 _RELEASE_LOCK_SCRIPT, 1, key, token))22.23class EditHistory:24 """Undo/redo stack with variant lifecycle tracking."""25.26 def push(self, new_state, previous_variant_id=None):27 if self.current is not None:28 self.past.append(self.current)29 self.past_variant_ids.append(previous_variant_id)30 if len(self.past) > MAX_HISTORY:31 self.past = self.past[-MAX_HISTORY:]32 self.current = new_state33 self.future.clear()34.35 def undo(self):36 if not self.past: return None, None37 self.future.append(self.current)38 vid = self.past_variant_ids.pop()39 self.future_variant_ids.append(vid)40 self.current = self.past.pop()41 return self.current, vid
“You aren’t allowed to tell them what their problem is, and in return, they aren’t allowed to tell you what to build. They own the problem, you own the solution.”
— Rob Fitzpatrick, The Mom Test
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Brand Aware Gen-AI for Creators.
An AI-powered content creation platform that learns your brand's visual identity to generate creative assets at scale — with an AI avatar builder, a node-based workflow engine, and an intelligent design canvas.

Something Toldby Deanna Fay
Narrative driven software.
A storytelling platform where data meets emotion. Clean interfaces for complex narratives, built with obsessive attention to typography and pacing.
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I came up writing code from scratch. Visual Basic, early scripting, understanding every line because you had to. Runways taught me something code couldn’t. That people feel the details before they understand them. That instinct shapes everything I build now: intelligent systems where the craft disappears but the quality doesn’t.
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