AI Project Planning for Agencies
Scope creep doesn't start when a client asks for more. It starts when the spec never said no.
Tekk.coach reads your client's actual codebase and generates a structured plan with explicit scope boundaries before your developers touch a single file. Every plan includes a "Not Building" section — a documented list of what's out of scope. When the client asks for X two weeks in, you have the spec that already said X is out.
Free to start. No PM overhead. Just plans that hold.
How Tekk.coach Does AI Project Planning for Agencies
The typical agency workflow goes like this: client brief, some rough notes, paste a description into Cursor, hope the output is close enough. It isn't. The spec missed complexity. The developer had to interpret it. Three rounds of rework later, the project is over budget and the client thinks you underdelivered.
Tekk does the step that's missing. Before generating a plan, the agent connects to the client's GitHub, GitLab, or Bitbucket repo via OAuth and reads the actual codebase. Not a description of it — the code itself. Semantic search, file analysis, repository profiling. Every question and every scope decision is grounded in what's actually there, not what someone assumed was there.
The output is not a chat message. It's a living document: a structured spec with a TL;DR, a Building section, a Not Building section, subtasks with acceptance criteria and file references, and explicit assumptions with risk levels. That's the document your developer works from. That's the document you show the client when they push for more.
For agencies doing AI project planning, this is the planning layer that feeds your developers and your coding agents. You still need Teamwork or Productive for billing and resource management. Tekk is not that. Tekk is what produces the technical plan they run on.
Key Benefits
Scope defined before code starts Every plan Tekk generates includes a "Not Building" section alongside the "Building" section. Explicit scope boundaries are baked into the spec. Client pushback has a documented answer.
Plans grounded in the actual codebase The agent reads the repo before asking a single question. Hidden complexity surfaces in the spec, not in sprint 3. Estimates based on what's actually in the code are more accurate and more defensible.
Specs your coding agents can execute If your developers use Cursor, Claude Code, or Codex, they need structured plans with file references and acceptance criteria — not paragraphs. Tekk produces exactly that. Less flailing, less rework.
Multi-turn planning that surfaces ambiguity The agent asks 3–6 questions grounded in what it found in the code. These aren't generic discovery questions. They reference specific files and patterns. Ambiguity gets resolved before it becomes a project problem.
Expert review without hiring specialists Security, architecture, and performance reviews on demand. The agent reads the client's code and flags structural issues — before you commit to a plan that builds on a broken foundation.
How It Works
Step 1: Connect the repo Connect the client's GitHub, GitLab, or Bitbucket via OAuth. Tekk reads the codebase — semantic search, file analysis, repo profiling. This takes seconds.
Step 2: Describe the engagement Tell Tekk what you're building for this client. A feature, a migration, a new service. No formal template required.
Step 3: Answer informed questions The agent asks 3–6 questions grounded in what it found in the code. These target the real unknowns — not generic discovery. Your answers narrow scope before the plan is written.
Step 4: Review architecture options For decisions with real tradeoffs, Tekk presents 2–3 distinct approaches with honest pros and cons. You choose the direction. The client doesn't get to change that direction later — it's documented.
Step 5: Get the spec The plan streams into a living document editor. TL;DR at the top. Building section. Not Building section. Subtasks with acceptance criteria and file references. Assumptions with risk levels. Validation scenarios. This is the document your team works from.
Who This Is For
This is for development agencies doing agency project planning with AI coding agents and finding the planning layer broken.
You're running a dev agency of 3–30 people. Your developers use Cursor or Claude Code. You take client work — custom software, feature development, migrations. Scope creep is a constant threat. You've had at least one project go sideways because the client kept adding things and you couldn't point to a document that said those things were out of scope.
You're the technical lead or agency owner who writes the specs before handing work to developers. You know the specs aren't good enough. You're generating them in ChatGPT without access to the client's actual codebase, which means they miss complexity and miss boundaries. You want a better process.
Your developers are already using AI coding agents, and you've noticed the output quality is directly tied to the quality of the spec. When the spec is precise and codebase-grounded, the agent ships correct code. When the spec is vague, the agent flails and you spend three days on rework.
Tekk is not for agencies that need full business operations in one tool — billing, client CRM, time tracking, invoicing. That's Productive or Scoro. Tekk is specifically the technical planning layer: the step between client requirements and developer execution.
What Is AI Project Planning for Development Agencies?
AI project planning for development agencies is the use of AI tools to generate technical plans, scope definitions, and feature specifications for client software projects. It sits between the client requirements phase and the development phase — turning rough briefs into structured, executable specs that developers (and AI coding agents) can act on without interpretation.
Traditional project planning for agencies relied on senior developers writing specs from memory, experience, and intuition. The problem: specs written without reading the actual codebase miss complexity, miss dependencies, and miss the constraints that only appear when you look at the code. The result is estimates that don't hold and scope that drifts.
In 2026, AI planning for development agencies has a new urgency. Agencies that have adopted AI coding agents — Cursor, Claude Code, Codex — discovered that these tools are powerful but dependent on the quality of their inputs. A one-paragraph task description produces mediocre code. A structured spec with file references, acceptance criteria, and explicit scope boundaries produces code that ships on the first pass. The planning step is no longer optional overhead; it's what separates agencies that ship fast from agencies that rework endlessly.
The current landscape includes general-purpose AI project management platforms (Forecast, Teamwork, Productive), which handle resource management, billing, and client communication but don't read codebases or generate technical specs. On the other end are AI coding agents, which execute plans but don't create them. Tekk sits in between: the planning layer that reads the codebase and produces the spec.
Ready to Plan Your Next Client Engagement?
Your next client project starts with a spec. Make it one that actually holds — grounded in their real codebase, with scope boundaries that protect your team before code is written.
Connect the repo. Describe the feature. Get a plan your developers can execute and your client already agreed to.