AI Logic Model Builder
Grant reviewers read your logic model before they read your narrative. Enter your program's five columns — inputs, activities, outputs, outcomes, impact — and get a grant-ready model with SMART indicators that are automatically checked against every SMART rule. Free, no signup.
Your Program
One item per line. The tool checks every line as you type.
Resources you invest: funding, staff, volunteers, partners, facilities, curriculum.
What the program does: workshops, mentoring sessions, screenings, distributions.
Countable deliverables: numbers of sessions, people served, materials distributed. Every line must be countable.
Measurable change: increases, decreases, improvements with a target. Every line must describe change, not just activity.
The long-term difference: the systemic or generational change this program contributes to.
Your Logic Model
Building your logic model with Gemini 3.1 Pro...
Your Saved Models
Every model you build is stored on this device, in your browser only. Reopen any of them to keep working or to export again.
The One Test Your Logic Model Has to Pass
A grant reviewer reads your logic model before your narrative, and they are running one test: does the chain hold? Inputs fund activities, activities produce outputs, outputs cause outcomes, outcomes add up to impact. The moment one link is actually two ideas crammed together, the reviewer stops trusting the rest of the proposal.
The link that breaks most often is outputs versus outcomes. Programs write “increased community awareness” under outputs because it sounds impressive, but awareness is a change, not a deliverable. Or they write “held 12 workshops” under outcomes, which is activity, not change. Reviewers at federal agencies see this mix-up constantly, and it reads as “this organization does not know what it is measuring.” This builder enforces the distinction line by line: outputs must be countable, outcomes must describe measurable change.
The second failure is indicators that cannot be evaluated. “Improve youth outcomes” is not an indicator, it is a wish. An indicator needs a who, a number, and a when. Every indicator this tool generates is checked against the five SMART rules automatically — specific, measurable, achievable, relevant, time-bound — with a plain-English reason for each check, so you can fix the weak ones before a reviewer finds them.
How It Works
Step 1: Fill the five columns. Name your program, then list inputs, activities, outputs, outcomes, and impact, one item per line. The form validates as you type: outputs must be countable, outcomes must describe change.
Step 2: Generate. The AI tightens your model — fixing items you filed in the wrong column — and writes two SMART indicators per outcome. It never invents your facts; where you gave no numbers, proposed targets appear in [brackets] for you to replace.
Step 3: Check the SMART report. Every indicator gets checked against specific, measurable, achievable, relevant, and time-bound rules with the reason shown. Fix any flagged indicator before it goes into a proposal.
Step 4: Export and reuse. Copy the model as a formatted Markdown table, download the .md file for your proposal appendix, or print the visual diagram. Models save automatically in your browser for the next grant.
Real Ways People Use It
Federal grant applications: USDA, HHS, and Department of Education proposals almost always require a logic model. Build it here, export the table, and drop it straight into the appendix.
Foundation proposals: Large foundations reward applications whose objectives, activities, and evaluation line up. The output-vs-outcome check catches the mix-ups that make reviewers doubt your evaluation plan.
Board presentations: A one-page visual diagram explains a program faster than a twenty-slide deck. Print the diagram for the board packet.
Program planning: Before the grant is even written, the five columns force the team to agree on what success actually looks like. Disagreements surface in the form, not in year two of the grant.
Evaluation design: The SMART-checked indicators become your evaluation plan's measure list. Hand the indicators table to your evaluator and the methods section practically writes itself.
Frequently Asked Questions
Is what I type private?
Your input is sent to our AI service to generate your result. No account, no signup, and nothing is linked to your identity. Your drafts and saved models stay in your own browser's localStorage, on your device. We count anonymous usage per tool for analytics. Your text is never sold.
What is a logic model?
A one-page map of how your program works: inputs (resources), activities (what you do), outputs (countable deliverables), outcomes (measurable change), and impact (long-term difference). Funders use it to check whether your program's logic holds together before they fund it.
What is the difference between outputs and outcomes?
Outputs are countable: 200 meals served, 12 workshops held. Outcomes are change: 30% fewer missed meals, 15-point gains in food-security scores. Outputs count what you did; outcomes measure what changed. This tool enforces the distinction on every line.
Do grant funders require a logic model?
Federal funders almost always do, and most large foundations expect one or reward proposals that include one. Even when not required, a tight logic model makes your narrative stronger.
What is a SMART indicator?
A measure that is Specific, Measurable, Achievable, Relevant, and Time-bound. “Increase enrollment” is not SMART; “Enroll 120 youth ages 12-17 by December 2027” is. Every generated indicator is checked against all five rules here.
Can I use this model in a grant proposal?
Yes. It is built from your own program details, and the Markdown export is formatted for proposals and appendices. Review the AI's draft against your actual program before submitting; you own the facts.
Is this logic model builder free?
Yes. 100% free with no accounts and no signup required.
Want the full playbook? Read our guide: How to Write a Logic Model for a Grant Proposal.