Map | Dota 690 Ai

Guide: Creating an AI Bot for Dota 6.90 Map (Custom Game) — Practical Steps & Tips

Note: I'll assume you mean Dota 2 custom map/mod based on the 6.90-era mechanics or a custom map titled "6.90". I'll present a practical, actionable guide for building an AI bot for such a map using modern Dota 2 tools (Lua scripting, bot scripting, custom game mode APIs). If you meant a different engine/version, tell me and I’ll adapt.

Improved AI: Bots now utilize more complex item builds and respond better to map objectives like Roshan and Runes. map dota 690 ai

Advanced Bot Logic: Bots will dynamically buy items, attempt to gank, deny creeps, and push lanes in a surprisingly coordinated fashion. Guide: Creating an AI Bot for Dota 6

Most players referring to "map dota 690 ai" actually want the 6.89 AI 1.5 version, as it is the most polished offline experience. AI does not use scan or smoke of deceit

5. Known Bugs & Limitations (v6.90 AI)

AI does not use scan or smoke of deceit.
Roshan – AI rarely contests Roshan unless forced.
Courier – AI sometimes forgets to buy flying courier.
Hero-specific: Invoker only uses 4–5 spells; Earth Spirit cannot place remnants properly.
Crash risk – high when using -dm or -sc (super creeps) with AI.

: Implements talent-like bonuses, such as Huskar’s level 25 talent changing to Divine damage. AI Improvements

2. Version History and Context

To understand why "6.90 AI" is a complex topic, one must understand the version history:

Practical tips for modders/designers

Validate navigation mesh: Use the map editor’s navmesh tools and test bots across all routes (lane, jungle, base) to find stuck points.
Balance camps and pulls: Space neutral camps so that pull mechanics (creep pulling/double-pull) are possible without unnatural micro; test with bots to ensure they perform pulls if intended.
Tune rune visibility and access: Place runes where neither side has a consistent advantage; verify river paths allow contest without long detours.
Test Roshan placement: If you want more Roshan contest, place Roshan slightly closer to mid or add accessible high-ground approaches; otherwise move it deeper into one side to create stronger positional defense.
Simulate multiple AI difficulty profiles: Provide scripts for different aggression/farming thresholds so matches feel varied (e.g., passive laning vs. early ganker).
Ward / vision anchors: Add obvious/natural warding spots near cliffs/high-traffic chokepoints to guide human players and help AI consider vision control.
Performance profiling: Complex geometry and many entities can hurt frame rates; optimize by culling unseen geometry and limiting active AI routines at a distance.
Iterative playtesting: Run 50+ automated bot matches with telemetry (counts of stuck events, path retries, objective captures) to find systematic issues.