# steticia (@SteticIA) on x

- id: koinon:creator:x_steticia
- url: https://koinonlink.com/kol/x/SteticIA
- schema_version: 1.4

## Identity
- platform: x
- handle: SteticIA
- platform_url: https://twitter.com/SteticIA
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 52952
- following: 47
- posts_total: 2788
- posts_observed: 1
- posts_per_day: 5.576
- account_age_days: 500
- verified: true
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.97
- category_source: derived_from_recent_content
- topics: AI agent behavior and limitations, LLM fine-tuning challenges, software engineering agents, legal AI benchmarks and applications, context generation from communications
- bio: architecting AI solutions for everyday users | @aiscwork member

## Audience (inferred)
- status: present
- description: AI developers and engineers building practical agents and LLM applications
- roles: automation
- seniority: practitioner
- pain_points: fine-tuning models for months yet agents still fail at basic behavior like knowing when to stop, AI struggling to leverage real context from emails, Slack and past decisions, current legal/document AI being limited to basic GPT wrappers without deep reasoning
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 1
- promotion_intent: 1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 76
- authenticity_basis: profile_shape_only
- credibility_score: 76
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_steticia#a8bdcf68] tú después de gastarte 3 meses fine-tuneando el modelo y que el agente siga sin saber cuándo callarse https://t.co/MvJ36POGvR (https://twitter.com/SteticIA/status/2073470354530402532)
- [x_steticia#06562d04] me: all legal AI is just gpt wrappers reading a PDF also me watching ivo benchmarks score a clause against my own past deals and tell me exactly where to hold the line: https://t.co/gVTXOTzPwN
- [x_steticia#4ca50241] Sholto Douglas, investigador de Anthropic: "Para estas fechas el año que viene, tendremos agentes de ingeniería de software que podrán realizar casi el equivalente a un día de trabajo de un ingeniero junior." Lo dijo en el podcast de Dwarkesh hace aproximadamente un año. Ese plaz
- [x_steticia#3cdeb0ab] llevas años generando contexto emails, decisiones en slack, n

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=110, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=110, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=110, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=110, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 110
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 13
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_steticia
- Request removal: https://koinonlink.com/claim?k=x_steticia
- Terms: https://koinonlink.com/for-ai