Technical Publications & Research
Field notes, reference architectures and production case studies written by the systems engineers at TICNES AI. We document how we design bounded multi-agent pipelines, Portuguese-language retrieval systems, zero-trust execution sandboxes and resilient software for regulated and low-connectivity environments.
Production Case Studies
Detailed architectural post-mortems examining the operational constraints, system design decisions and measured outcomes of platforms running under ticnes.ai.
How we engineered a citation-grounded legal retrieval assistant that parses statutory clauses, cross-references employment contracts and eliminates hallucinated legal citations for HR departments and workers in Angola.
Read full case study →Replacing static questionnaires with adaptive conversational inquiry flows and transformer-based Portuguese sentiment classification to raise survey completion rates to 92.5%.
Read full case study →Designing a local-first photo archive that computes CLIP-style visual embeddings, EXIF metadata graphs and HNSW vector indexes on the user’s hardware without uploading private media to third-party clouds.
Read full case study →How we combined an open university scholarship competition with a low-bandwidth Socratic AI tutor and SME automation bootcamp to train and fund emerging engineering talent.
Read full case study →Architecture & Engineering Notes
Reference guides covering the protocols, evaluation harnesses and security controls we apply before putting any autonomous system in front of users.
Why unconstrained autonomous agents fail in production, and how state-machine orchestration, explicit tool allow-lists, token budgets and mandatory human authorisation checkpoints make multi-agent workflows reliable.
Read article →Article-aware chunking, hybrid BM25 + dense vector retrieval, cross-encoder reranking and deterministic citation verification for statutory and regulatory documents in Portuguese.
Read article →Containing prompt injection, lateral movement and untrusted code execution using per-task capability tokens, WebAssembly runtimes, network egress policies and append-only audit logs.
Read article →Quantized vision-language models, incremental folder indexing, SQLite-backed vector storage and AES-GCM-256 encryption for private personal and corporate media libraries.
Read article →Offline-first state synchronisation, payload compression, idempotent retry queues and progressive model degradation for mobile and regional networks with high packet loss.
Read article →Handling code-switching, regional Angolan Portuguese idioms, sarcasm and demographic calibration when measuring public opinion across digital survey channels.
Read article →A practical methodology for small and medium enterprises to identify high-friction administrative tasks, calculate automation ROI and maintain operational ownership after deployment.
Read article →Mitigating harvest-now-decrypt-later risks using hybrid key encapsulation (ML-KEM / X25519), per-tenant cryptographic Envelope Encryption and jurisdictional residency boundaries.
Read article →Moving from subjective prompt-vibes to deterministic claim decomposition, Natural Language Inference (NLI) entailment scoring and CI/CD regression gates.
Read article →Combining gradient-boosted arrival-time forecasting with Mixed-Integer Linear Programming (MILP) to eliminate berth conflicts and reduce fleet fuel burn.
Read article →Reducing security analyst alert fatigue with seasonal baseline forecasting, temporal host-identity graphs and human-authorised containment playbooks.
Read article →Designing finite-state pedagogical dialogue controllers, symbolic verification gates and mastery-learning graphs that build durable STEM problem-solving skills.
Read article →Editorial Standards
Every article and case study published on ticnes.ai/insights/ is authored and reviewed by engineers working directly on our production platforms. Where we cite latency figures, accuracy benchmarks or completion rates, those numbers come from internal telemetry harnesses or audited programme records rather than synthetic vendor marketing benchmarks.
Questions, technical corrections or requests for architectural consultation can be directed to our engineering team at [email protected] or via our Contact page.